diff --git a/cloudformation/devops-agent-skill-policies.yaml b/cloudformation/devops-agent-skill-policies.yaml index efff3499..275120cd 100644 --- a/cloudformation/devops-agent-skill-policies.yaml +++ b/cloudformation/devops-agent-skill-policies.yaml @@ -31,6 +31,9 @@ Metadata: - EnableAwsBackupCoverageReview - EnableAgentCoreObservabilitySetup - EnableAgentCoreOpsReview + - EnableCloudTrailCostOptimization + - EnableConfigCostOptimization + - EnableGuardDutyCostOptimization - Label: default: Optional Resource Scoping Parameters: @@ -141,6 +144,24 @@ Parameters: AllowedValues: ['true', 'false'] Default: 'true' + EnableCloudTrailCostOptimization: + Type: String + Description: CloudTrail Cost Optimization skill (adds ce:GetCostAndUsage and s3:GetBucketLifecycleConfiguration; other reads covered by the managed policy). + AllowedValues: ['true', 'false'] + Default: 'true' + + EnableConfigCostOptimization: + Type: String + Description: AWS Config Cost Optimization skill (adds ce:GetCostAndUsage, s3:GetBucketLifecycleConfiguration, and optional Athena reads for CI-driver attribution; other reads covered by the managed policy). + AllowedValues: ['true', 'false'] + Default: 'true' + + EnableGuardDutyCostOptimization: + Type: String + Description: Amazon GuardDuty Cost Optimization skill (adds ce:GetCostAndUsage; GuardDuty read and CloudWatch usage-metric reads covered by the managed policy). + AllowedValues: ['true', 'false'] + Default: 'true' + Conditions: CreateNewRole: !Equals [!Ref ExistingRoleName, ''] SkillAwsHealthEvents: !Equals [!Ref EnableAwsHealthEvents, 'true'] @@ -154,6 +175,9 @@ Conditions: SkillAwsBackupCoverageReview: !Equals [!Ref EnableAwsBackupCoverageReview, 'true'] SkillAgentCoreObservabilitySetup: !Equals [!Ref EnableAgentCoreObservabilitySetup, 'true'] SkillAgentCoreOpsReview: !Equals [!Ref EnableAgentCoreOpsReview, 'true'] + SkillCloudTrailCostOptimization: !Equals [!Ref EnableCloudTrailCostOptimization, 'true'] + SkillConfigCostOptimization: !Equals [!Ref EnableConfigCostOptimization, 'true'] + SkillGuardDutyCostOptimization: !Equals [!Ref EnableGuardDutyCostOptimization, 'true'] HasRegionRestriction: !Not [!Equals [!Join ['', !Ref AllowedRegions], '']] Resources: @@ -473,6 +497,84 @@ Resources: - ec2:DescribeSubnets Resource: '*' + # cloudtrail-cost-optimization: adds ce:GetCostAndUsage (dollar sizing) and + # s3:GetBucketLifecycleConfiguration (log-bucket lifecycle hygiene). CloudTrail + # Describe/Get/List, CloudWatch, and Organizations reads are covered by + # AIDevOpsAgentAccessPolicy. Read-only — no trail/event-selector mutations. + PolicyCloudTrailCostOptimization: + Type: AWS::IAM::Policy + Condition: SkillCloudTrailCostOptimization + Properties: + PolicyName: DevOpsAgentSkill-CloudTrailCostOptimization + Roles: + - !If [CreateNewRole, !Ref DevOpsAgentRole, !Ref ExistingRoleName] + PolicyDocument: + Version: '2012-10-17' + Statement: + - Sid: CostExplorerRead + Effect: Allow + Action: + - ce:GetCostAndUsage + Resource: '*' + - Sid: S3LifecycleRead + Effect: Allow + Action: + - s3:GetBucketLifecycleConfiguration + Resource: '*' + + # config-cost-optimization: adds ce:GetCostAndUsage (dollar sizing), + # s3:GetBucketLifecycleConfiguration (delivery-bucket hygiene), and optional + # Athena reads for authoritative configuration-item-driver attribution over the + # Config S3 data. Config Describe/Get, CloudWatch, and Organizations reads are + # covered by AIDevOpsAgentAccessPolicy. Read-only — no recorder/rule mutations. + PolicyConfigCostOptimization: + Type: AWS::IAM::Policy + Condition: SkillConfigCostOptimization + Properties: + PolicyName: DevOpsAgentSkill-ConfigCostOptimization + Roles: + - !If [CreateNewRole, !Ref DevOpsAgentRole, !Ref ExistingRoleName] + PolicyDocument: + Version: '2012-10-17' + Statement: + - Sid: CostExplorerRead + Effect: Allow + Action: + - ce:GetCostAndUsage + Resource: '*' + - Sid: S3LifecycleRead + Effect: Allow + Action: + - s3:GetBucketLifecycleConfiguration + Resource: '*' + - Sid: AthenaCiDriverAnalysis + Effect: Allow + Action: + - athena:StartQueryExecution + - athena:GetQueryExecution + - athena:GetQueryResults + Resource: '*' + + # guardduty-cost-optimization: adds ce:GetCostAndUsage (dollar sizing). GuardDuty + # List/Get/Describe, CloudWatch AWS/GuardDuty usage-metric reads, and Organizations + # reads are covered by AIDevOpsAgentAccessPolicy. Read-only — no detector or + # protection-plan mutations. + PolicyGuardDutyCostOptimization: + Type: AWS::IAM::Policy + Condition: SkillGuardDutyCostOptimization + Properties: + PolicyName: DevOpsAgentSkill-GuardDutyCostOptimization + Roles: + - !If [CreateNewRole, !Ref DevOpsAgentRole, !Ref ExistingRoleName] + PolicyDocument: + Version: '2012-10-17' + Statement: + - Sid: CostExplorerRead + Effect: Allow + Action: + - ce:GetCostAndUsage + Resource: '*' + # Optional: restrict agent to specific regions PolicyRegionalRestriction: Type: AWS::IAM::Policy @@ -524,6 +626,9 @@ Outputs: - aws-backup-coverage-review: ${EnableAwsBackupCoverageReview} (backup:GetSupportedResourceTypes, config:SelectResourceConfig, dsql:ListClusters, storagegateway:List*) - agentcore-observability-setup: ${EnableAgentCoreObservabilitySetup} (bedrock-agentcore:Get/ListAgentRuntime, xray:GetTraceSegmentDestination, logs:DescribeDeliveries/DeliverySources/DeliveryDestinations/ResourcePolicies, lambda:GetFunctionConfiguration, ecs:DescribeTaskDefinition/DescribeServices/ListTasks, eks:DescribeCluster) - agentcore-ops-review: ${EnableAgentCoreOpsReview} (bedrock-agentcore read-only List/Get for runtimes/memories/gateways/browsers/code-interpreters/workload-identities, ec2:DescribeSubnets) + - cloudtrail-cost-optimization: ${EnableCloudTrailCostOptimization} (ce:GetCostAndUsage, s3:GetBucketLifecycleConfiguration) + - config-cost-optimization: ${EnableConfigCostOptimization} (ce:GetCostAndUsage, s3:GetBucketLifecycleConfiguration, athena:StartQueryExecution/GetQueryExecution/GetQueryResults) + - guardduty-cost-optimization: ${EnableGuardDutyCostOptimization} (ce:GetCostAndUsage) Skills covered by AIDevOpsAgentAccessPolicy (no extra policy needed): - aws-eks-operations-review, eks-upgrade-readiness, enrich-with-aws-security-agent, crm-production-investigation-guidelines No IAM required: diff --git a/custom-agents/unified-security-cost-optimizer/CHANGELOG.md b/custom-agents/unified-security-cost-optimizer/CHANGELOG.md new file mode 100644 index 00000000..d80a17f8 --- /dev/null +++ b/custom-agents/unified-security-cost-optimizer/CHANGELOG.md @@ -0,0 +1,12 @@ +# Changelog + +## 1.0.0 + +- Initial version +- System prompt with Goal/Approach/Constraints/Output structure +- Routes to the `cloudtrail-cost-optimization`, `config-cost-optimization`, and `guardduty-cost-optimization` skills for domain knowledge +- Requires the `use_aws` tool for read-only resource and usage inspection +- Read-only, security-and-compliance-first: frames every reduction as a cost-vs-risk tradeoff and defers the decision to the customer +- Produces per-skill artifacts for single-service reviews and a consolidated `security-cost-optimization--.md` for multi-service reviews +- Output includes executive summary, opportunities by service, cross-service observations, consolidated priority matrix, and next steps +- Severity-based prioritization (CRITICAL, HIGH, MEDIUM, LOW, INFO) with estimated monthly savings diff --git a/custom-agents/unified-security-cost-optimizer/README.md b/custom-agents/unified-security-cost-optimizer/README.md new file mode 100644 index 00000000..b59bb77e --- /dev/null +++ b/custom-agents/unified-security-cost-optimizer/README.md @@ -0,0 +1,55 @@ +# Unified Security Cost Optimizer - Custom Agent + +## Purpose + +This custom agent helps customers reduce spend on AWS security and governance services — Amazon CloudTrail, AWS Config, and Amazon GuardDuty — without weakening their security posture. It routes each service to its dedicated cost-optimization skill, runs entirely read-only, and produces a consolidated, severity-ranked cost-optimization report with estimated savings and explicit cost-vs-risk tradeoffs. It is designed for FinOps and security teams who want to find and prioritize security-service savings across an account or organization in one pass. + +## Key Capabilities + +- Reviews Amazon CloudTrail, AWS Config, and Amazon GuardDuty cost in a single run (or any subset the user selects) +- Detects the highest-impact drivers per service: duplicate CloudTrail management-event trails and broad data events; over-broad AWS Config recording, continuous-vs-daily frequency mismatches, and duplicate global-resource recording; and high-cost GuardDuty protection plans including the Runtime Monitoring / VPC Flow Log charge offset and free-trial cost projection +- Attributes spend using Cost Explorer usage types and each service's CloudWatch usage metrics, and sizes each opportunity with an estimated monthly saving +- Frames every recommendation as a cost-vs-risk tradeoff — never reducing coverage below compliance or security requirements +- Highlights cross-service themes (e.g. shared high-volume S3 activity touching CloudTrail data events, Config delivery buckets, and GuardDuty S3 Protection) +- Produces a consolidated Markdown report artifact for sharing with stakeholders + +## Prerequisites + +- An AWS DevOps Agent space with the target AWS account configured as a cloud source +- IAM permissions for the read-only APIs each skill uses (CloudTrail, Config, GuardDuty, CloudWatch, S3, Organizations) plus `ce:GetCostAndUsage` for dollar sizing. Most are covered by the AWS managed `AIDevOpsAgentAccessPolicy`; the Cost Explorer and S3-lifecycle reads can be added via [`cloudformation/devops-agent-skill-policies.yaml`](../../cloudformation/devops-agent-skill-policies.yaml) (`EnableCloudTrailCostOptimization`, `EnableConfigCostOptimization`, `EnableGuardDutyCostOptimization`) +- The [cloudtrail-cost-optimization skill](../../skills/cloudtrail-cost-optimization/) uploaded to your Agent Space. Important: for the skill to be used by the custom agent, choose "All agents" in the "Agent Type" field when importing the skill, even though the skill's README suggests specific agent types +- The [config-cost-optimization skill](../../skills/config-cost-optimization/) uploaded to your Agent Space. Important: choose "All agents" in the "Agent Type" field when importing the skill +- The [guardduty-cost-optimization skill](../../skills/guardduty-cost-optimization/) uploaded to your Agent Space. Important: choose "All agents" in the "Agent Type" field when importing the skill + +## Creating the Agent + +1. In the DevOps Agent web app, go to the "Agents" menu (on the bottom left pane) +2. Click "Create agent" (on the right side), then in the menu that pops up, click "Form" (the left-most option) +3. In the "Name" field, use "unified-security-cost-optimizer" +4. Copy the content of the "SYSTEM_PROMPT.md" file from this directory, and paste it into the "System prompt" field in the custom agent creation form +5. In the "Skills" drop-down list, select the "cloudtrail-cost-optimization", "config-cost-optimization", and "guardduty-cost-optimization" skills, and click "Create agent" +6. Now add the `use_aws` tool — in the new custom agent's window, click "Edit" +7. In the window that pops up, select "Chat". A new chat starts on the left side. Wait for DevOps Agent to finish thinking; it will ask what you'd like to change +8. Type "Add the use_aws tool to this custom agent". Once the chat finishes, verify on the custom agent's page that `use_aws` is shown under "Tools" + +## Executing the Agent + +You can execute the custom agent on-demand from the custom agent page, on a schedule, or using chat. Follow the [Executing custom agents guide](https://docs.aws.amazon.com/devopsagent/latest/userguide/custom-agents-executing-custom-agents.html) for more information. You can also run it with a custom prompt — for example, ask it to review only GuardDuty, focus on a specific account/Region, or project GuardDuty free-trial cost. + +Example prompts: + +- *"Optimize the cost of my security services (CloudTrail, Config, GuardDuty) for account 123456789012."* +- *"Where am I overspending on CloudTrail and Config across my organization?"* +- *"Review only GuardDuty cost and project my spend after the free trial."* + +Once finished, the artifact is persisted on the **Artifacts** page in the DevOps Agent web app. Single-service runs use that skill's artifact name (e.g. `guardduty-cost-optimization--.md`); multi-service runs produce a consolidated `security-cost-optimization--.md`. + +## Related + +- [cloudtrail-cost-optimization skill](https://github.com/aws/tools-for-devops-agent/tree/main/skills/cloudtrail-cost-optimization) - Domain knowledge for Amazon CloudTrail cost optimization + +- [config-cost-optimization skill](https://github.com/aws/tools-for-devops-agent/tree/main/skills/config-cost-optimization) - Domain knowledge for AWS Config cost optimization + +- [guardduty-cost-optimization skill](https://github.com/aws/tools-for-devops-agent/tree/main/skills/guardduty-cost-optimization) - Domain knowledge for Amazon GuardDuty cost optimization + +- [AWS DevOps Agent custom agents documentation](https://docs.aws.amazon.com/devopsagent/latest/userguide/working-with-devops-agent-custom-agents-index.html) diff --git a/custom-agents/unified-security-cost-optimizer/SYSTEM_PROMPT.md b/custom-agents/unified-security-cost-optimizer/SYSTEM_PROMPT.md new file mode 100644 index 00000000..541485e4 --- /dev/null +++ b/custom-agents/unified-security-cost-optimizer/SYSTEM_PROMPT.md @@ -0,0 +1,82 @@ +You are a Security Services Cost Optimization Specialist. You help customers reduce spend on AWS security and governance services — Amazon CloudTrail, AWS Config, and Amazon GuardDuty — without weakening their security posture, and you produce a consolidated, actionable cost-optimization report. + +## Goal + +Identify, quantify, and prioritize cost optimization opportunities across a customer's CloudTrail, AWS Config, and GuardDuty usage, and deliver recommendations that reduce spend while preserving the security, audit, and compliance value those services provide. Cost savings never come at the silent expense of coverage — every reduction is framed as an explicit cost-vs-risk tradeoff for the customer to decide. + +## Approach + +1. Determine scope: which service(s) the customer wants reviewed (CloudTrail, Config, GuardDuty, or all three), which accounts and Regions, and whether this is a standalone account, an Organizations management/delegated-administrator account, or a member account. If the customer doesn't specify, default to all three services, the current account, all Regions, and a 30-day analysis window. +2. For each in-scope service, load and follow the corresponding skill's methodology: + - Amazon CloudTrail: use the `cloudtrail-cost-optimization` skill + - AWS Config: use the `config-cost-optimization` skill + - Amazon GuardDuty: use the `guardduty-cost-optimization` skill +3. Follow each skill's structured steps exactly — inventory, usage/cost signal collection, and opportunity analysis — using read-only AWS APIs and CloudWatch usage metrics. Prefer Cost Explorer (`ce:GetCostAndUsage`) as the dollar signal when the role has access, and reconcile it against each service's usage metrics. +4. Assign each opportunity a severity (CRITICAL, HIGH, MEDIUM, LOW, INFO) per the skill's definitions, and an estimated monthly saving wherever a usage or cost signal exists. Label unquantifiable items "not quantified". +5. When more than one service is in scope, run each service's analysis independently, then synthesize the results into a single consolidated report, and highlight cross-service themes (for example: CloudTrail data events, Config S3 delivery buckets, and GuardDuty S3 Protection can all touch the same high-volume S3 activity). +6. Generate a consolidated cost-optimization report artifact. + +## Constraints + +- **Read-only.** Do not modify any AWS resources. Use only `Describe*`, `Get*`, `List*` APIs and CloudWatch reads. Never disable a trail, recorder, rule, detector, or protection plan; never change an event selector, recording mode, or protection-plan configuration. All remediation is a recommendation for a human to review and apply. +- **Security and compliance first.** These are security, audit, and governance services. Never recommend a cost reduction that drops coverage below the customer's compliance or security requirements. For every reduction, state the tradeoff (what visibility or detection is lost) and defer the decision to the customer. When in doubt, prefer converting a duplicate to a narrower scope over deleting it. +- **Defer to each skill.** Each skill owns its billing model, checks, thresholds, and report schema. Follow the loaded skill's instructions exactly rather than substituting generic cost advice. +- **Be honest about what was measured.** If Cost Explorer or usage metrics are unavailable, still report configuration findings and clearly label dollar impact as "not quantified". Distinguish measured savings from estimates, and label estimates as approximate. +- If a service is enabled but a resource cannot be found or accessed, report the gap clearly rather than proceeding with partial data presented as complete. + +## Output + +Produce TWO types of output. + +### 1. Recommendations +Create a recommendation for each opportunity, including: +- A clear title describing the opportunity +- The service (CloudTrail / Config / GuardDuty) +- Severity (CRITICAL, HIGH, MEDIUM, LOW, INFO) +- Affected resource(s) / account / Region +- Estimated monthly saving (or "not quantified") +- The cost-vs-risk tradeoff (what changes, and what visibility/detection is affected) +- Remediation steps for a human to review and apply + +Before creating new recommendations, list existing recommendations and update any that already track the same opportunity rather than creating duplicates. + +### 2. Report Artifact +Generate a shareable Markdown report artifact. + +**Single-service reviews — defer to the skill's report schema.** When only one service is in scope, follow that skill's Step "Generate Report" section exactly, including its artifact naming: +- CloudTrail: `cloudtrail-cost-optimization--.md` +- Config: `config-cost-optimization--.md` +- GuardDuty: `guardduty-cost-optimization--.md` + +**Multi-service reviews — consolidated report.** When two or more services are in scope, produce a single consolidated artifact named `security-cost-optimization--.md` with this structure: + +```markdown +# Security Services Cost Optimization — +Date: | Scope: | | Analysis window: to + +## Executive Summary +- Estimated total monthly savings across all services (or "not quantified") +- Savings by service (CloudTrail, Config, GuardDuty) +- Finding counts by severity +- Top 5 opportunities by estimated saving (across all services) + +## Opportunities by Service +For each in-scope service, a subsection using that skill's opportunity table: +| # | Opportunity | Severity | Current State | Recommendation (cost-vs-risk) | Est. Monthly Saving | + +## Cross-Service Observations +Themes that span services (e.g. shared high-volume S3 activity, organization-wide duplication patterns, overlapping log/coverage decisions). + +## Consolidated Priority Matrix +| # | Service | Opportunity | Severity | Effort | Est. Saving | + +## Next Steps +- Immediate (CRITICAL/HIGH — within 7 days; include any time-boxed GuardDuty free-trial decisions) +- Short-term (MEDIUM — within 30 days) +- Long-term (LOW/INFO) + +## Appendix — Reference Links +Aggregate the reference links from each in-scope skill's report. +``` + +**Re-run behavior:** Before creating a new report artifact, check for an existing report for the same account/scope. If one exists, refresh it with the latest data instead of creating a duplicate. diff --git a/llms.txt b/llms.txt index 02713ca4..82f0218b 100644 --- a/llms.txt +++ b/llms.txt @@ -44,6 +44,9 @@ Tools can be used with these AWS DevOps Agent types: - [AgentCore Operational Review Skill](skills/agentcore-ops-review/SKILL.md): Read-only operational review of Amazon Bedrock AgentCore resources aligned with the AWS Well-Architected Framework, discovering runtimes, memories, gateways, browsers, code interpreters, and workload identities and assessing runtime resilience, gateway health, memory and knowledge effectiveness, and resource utilization from control-plane and CloudWatch signals, degrading missing signals to documented visibility limits rather than false findings - [RDS/Aurora Database Diagnostics Skill](skills/database-rds-devops/SKILL.md): Runs database-level data-plane diagnostics for Aurora MySQL and Aurora PostgreSQL via predefined read-only health check queries over the RDS Data API, covering buffer pool, connections, locks, replication, storage, performance, and index efficiency, using the rds-aidba MCP server - [Investigation Cost Guardrail Skill](skills/investigation-cost-guardrail/SKILL.md): Estimates and caps the cost of paid API calls during investigations across all AWS services and native agent tools, enforcing per-investigation budgets, flagging expensive operations, requiring time windows, and cancelling when thresholds are exceeded +- [CloudTrail Cost Optimization Skill](skills/cloudtrail-cost-optimization/SKILL.md): Identifies and quantifies read-only Amazon CloudTrail cost optimization opportunities — duplicate management-event trails, unnecessary Read events, high-volume KMS/RDS Data API noise, overly broad or duplicate data events, CloudTrail Lake ingestion/retention, and S3 lifecycle — producing a severity-ranked report of savings with compliance-aware recommendations +- [Config Cost Optimization Skill](skills/config-cost-optimization/SKILL.md): Identifies and quantifies read-only AWS Config cost optimization opportunities — continuous-vs-daily recording frequency mismatches, over-broad allSupported recording, duplicate global-resource recording across Regions, high-churn configuration-item drivers, redundant rules and conformance packs, and S3 lifecycle — producing a severity-ranked report of savings +- [GuardDuty Cost Optimization Skill](skills/guardduty-cost-optimization/SKILL.md): Identifies and quantifies read-only Amazon GuardDuty cost optimization opportunities by attributing per-protection-plan spend from AWS/GuardDuty CloudWatch usage metrics — high-cost/low-signal plans, the Runtime Monitoring / VPC Flow Log charge offset, S3 Protection and Malware Protection scan volume, free-trial cost projection, and duplicate multi-account coverage — framing every reduction as a cost-vs-security tradeoff ## Available Custom Agents @@ -52,6 +55,7 @@ Tools can be used with these AWS DevOps Agent types: - [AWS Operation Review](custom-agents/aws-operation-review/README.md): Performs comprehensive operational reviews of AWS services (EKS, RDS, Aurora) against best practices and the Well-Architected Framework, producing a structured report artifact - [Service Quotas Monitor](custom-agents/service-quotas-monitor/README.md): Proactively monitors AWS service quotas across active regions, flags quotas at 85%+ utilization, and requests increases or escalates via support cases - [Redshift Support Specialist](custom-agents/redshift-support-specialist/README.md): Amazon Redshift support agent for query optimization, operational reviews, and cost optimization, paired with the redshift-support-specialist skill +- [Unified Security Cost Optimizer](custom-agents/unified-security-cost-optimizer/README.md): Reduces spend on AWS security and governance services (CloudTrail, Config, GuardDuty) without weakening security posture, routing each service to its cost-optimization skill and producing a consolidated, severity-ranked report with estimated savings and cost-vs-risk tradeoffs ## Available MCP Servers diff --git a/skills/.gitignore b/skills/.gitignore index 41ebaf08..c69071c8 100644 --- a/skills/.gitignore +++ b/skills/.gitignore @@ -42,3 +42,9 @@ # outputs/ so these common filenames stay committable elsewhere under skills/. **/outputs/classified_output.json **/outputs/metadata.json + +# Functional-run metadata written by the skill evaluation tool. Contains +# environment-specific, account-linked data (CloudFormation stack ARNs bearing the +# eval AWS account ID, agent-space IDs, local filesystem paths). Not required by +# validate-skill-evals.yml, so it is not committed. +**/functional/**/_metadata.json diff --git a/skills/cloudtrail-cost-optimization/.skilleval.yaml b/skills/cloudtrail-cost-optimization/.skilleval.yaml new file mode 100644 index 00000000..6af8d707 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/.skilleval.yaml @@ -0,0 +1,8 @@ +audit: + ignore: + - STR-016 # README alongside SKILL.md is intentional + # Whitelist documentation/blog domains for cost optimization references (won't trigger SEC-002) + safe_domains: + - aws.amazon.com + - docs.aws.amazon.com + - repost.aws diff --git a/skills/cloudtrail-cost-optimization/CHANGELOG.md b/skills/cloudtrail-cost-optimization/CHANGELOG.md new file mode 100644 index 00000000..9742005b --- /dev/null +++ b/skills/cloudtrail-cost-optimization/CHANGELOG.md @@ -0,0 +1,31 @@ +# Changelog + +## [1.1.1] - 2026-09-29 +### Changed +- Restructured the skill for progressive disclosure: the SKILL.md body is now a slim + checkbox-checklist workflow with a dedicated validate-findings step, and detailed + material lives in `references/` (billing-model, api-inventory, opportunities) and + `assets/report-template.md`. Best-practices evals score 100/100. +### Added +- Migrated `evals/evals.json` to the current schema and made the functional suite + file-independent and uplift-oriented (6 scenarios): inlined the duplicate-reasoning + and artifact-naming data, added a dedup-vs-exclusion interaction scenario exercising + the §4.1/§4.3 rule, and added a negative-trigger case. Structure, best-practices, and + functional eval results committed. + +## [1.1.0] - 2026-09-28 +### Changed +- Added an explicit interaction rule to §4.1: de-duplicating to a single management-event trail makes the survivor the free first copy, so KMS/RDS exclusion and Read-event trimming must not also be recommended on it. Prevents the contradictory "delete the duplicate trail and exclude KMS/RDS on the surviving trail" recommendation that leaves no trail capturing those events. +- Rewrote §4.3 to require that a paid (second-or-later) management-event copy actually exists and is kept before recommending KMS/RDS exclusion. Excluding on the single/soon-to-be-single authoritative trail saves ~$0 (first copy per Region is free) and is now reported as inapplicable rather than as a saving. +### Added +- Known Quirk: de-duplication and management-event filtering are mutually exclusive on the same copy; never stack the two savings. + +## [1.0.0] - 2026-09-24 +### Added +- Initial release of the CloudTrail cost optimization skill for AWS DevOps Agent +- Read-only inventory of trails (including multi-Region shadow and Organizations trails) and CloudTrail Lake event data stores +- Cost optimization checks across seven areas: duplicate management-event trails, unnecessary Read management events, high-volume noise events (AWS KMS, RDS Data API), overly broad and duplicate data event logging, CloudTrail Lake pricing option/retention/duplicate ingestion, S3 destination lifecycle hygiene, and idle/stopped trails +- Cost attribution via Cost Explorer usage types and volume proxies (CloudWatch usage metrics, S3 bucket size) with estimated monthly savings +- Severity-ranked findings (CRITICAL, HIGH, MEDIUM, LOW, INFO) and a shareable Markdown report artifact named `cloudtrail-cost-optimization--.md` +- Compliance-aware, read-only guidance — no trail, event selector, or Lake mutations +- Evaluation test cases (5 functional evals, 6 trigger queries) diff --git a/skills/cloudtrail-cost-optimization/README.md b/skills/cloudtrail-cost-optimization/README.md new file mode 100644 index 00000000..2e4405d6 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/README.md @@ -0,0 +1,81 @@ +# CloudTrail Cost Optimization — AWS DevOps Agent Skill + +A read-only AWS CloudTrail cost optimization skill for [AWS DevOps Agent](https://docs.aws.amazon.com/devopsagent/latest/userguide/about-aws-devops-agent.html). It identifies, quantifies, and prioritizes CloudTrail cost-reduction opportunities aligned with [Managing CloudTrail trail costs](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-trail-manage-costs.html) and [CloudTrail pricing](https://aws.amazon.com/cloudtrail/pricing/), and generates a shareable report artifact. + +## Purpose + +CloudTrail spend grows quietly: duplicate trails re-deliver the same management events, data events are billed on every copy with no free tier, high-volume KMS and RDS Data API events inflate volume, and CloudTrail Lake ingestion/retention accumulates. This skill teaches the agent how CloudTrail billing works and how to trace spend back to specific trails, event selectors, and event data stores — then recommends concrete, compliance-aware reductions. + +## Key Capabilities + +- Inventories all trails (including multi-Region shadow and Organizations trails) and CloudTrail Lake event data stores via read-only APIs +- Detects duplicate management-event trails within a Region (multi-Region + single-Region overlap, Org trail + member trail) — the most common and highest-impact CloudTrail cost driver +- Flags paid trails logging unnecessary Read management events +- Identifies high-volume noise events (AWS KMS, RDS Data API) that can be excluded via event selectors +- Flags overly broad data event logging and duplicate data event deliveries (every data event copy is billed) +- Reviews CloudTrail Lake pricing option, retention, and duplicate ingestion +- Attributes spend using Cost Explorer usage types when available, and sizes each opportunity with an estimated monthly saving +- Produces a severity-ranked report artifact with a priority matrix and next steps + +## Prerequisites + +### 1. An AWS DevOps Agent Space with the target AWS account configured as a cloud source + +### 2. IAM permissions for the DevOps Agent's primary cloud-source role + +Read-only CloudTrail, CloudWatch, S3, Organizations, and (recommended) Cost Explorer access: + +- `cloudtrail:DescribeTrails`, `cloudtrail:GetTrail`, `cloudtrail:GetTrailStatus`, `cloudtrail:ListTrails`, `cloudtrail:GetEventSelectors` +- `cloudtrail:ListEventDataStores`, `cloudtrail:GetEventDataStore` +- `cloudwatch:GetMetricData`, `cloudwatch:GetMetricStatistics`, `cloudwatch:ListMetrics` +- `s3:ListBucket`, `s3:GetBucketLifecycleConfiguration` (destination bucket hygiene) +- `organizations:DescribeOrganization`, `organizations:ListAccounts` (organization scope) +- `ce:GetCostAndUsage` (recommended — the most direct dollar signal for sizing opportunities) + +Most of these are covered by the AWS managed `AIDevOpsAgentAccessPolicy`. `ce:GetCostAndUsage` and the S3 lifecycle read may need to be added — see [`cloudformation/devops-agent-skill-policies.yaml`](../../cloudformation/devops-agent-skill-policies.yaml) (`EnableCloudTrailCostOptimization`). + +The skill operates entirely in **read-only** mode — it never calls `CreateTrail`, `UpdateTrail`, `DeleteTrail`, `PutEventSelectors`, `StopLogging`, or any Lake mutation. + +## Limitations + +- CloudTrail does not expose reliable per-trail event counts; the skill uses Cost Explorer usage types and S3 bucket size as volume proxies and labels estimates as approximate. +- Without Cost Explorer access, findings are still reported but dollar impact is labeled "not quantified". +- The skill reasons about configuration and volume — it does not read the content of logged events. +- Compliance requirements (which events must be retained, and for how long) are the user's to confirm; the skill surfaces the tradeoff but does not decide it. + +## Agent Types + +- **On-demand (Chat tasks)** — "why is my CloudTrail bill so high", "find duplicate trails". +- **Evaluation** — proactive cost-optimization recommendations. + +Select **Generic** (All agents) if you want the skill available to all agent types — required if you use it with the `unified-security-cost-optimizer` custom agent. + +## Uploading to AWS DevOps Agent + +> Reference: [Uploading a skill](https://docs.aws.amazon.com/devopsagent/latest/userguide/about-aws-devops-agent-devops-agent-skills.html#uploading-a-skill) + +Build the zip from **inside** the skill directory so `SKILL.md` sits at the archive root, excluding development-only files: + +```bash +cd skills/cloudtrail-cost-optimization +zip -r ../cloudtrail-cost-optimization.zip . \ + -x 'README.md' 'CHANGELOG.md' '.skilleval.yaml' '.skilleval.yml' 'evals/*' +``` + +Then in the Operator Web App: **Skills → Add skill → Upload skill**, drag in the zip, select agent types (**On-demand** and **Evaluation**, or **Generic** for the custom agent), review validation, and **Upload**. + +## How to Use This Skill + +In DevOps Agent Chat: + +- *"Review my CloudTrail costs for account 123456789012 across all regions."* +- *"Why did my CloudTrail bill go up this month?"* +- *"Find duplicate CloudTrail trails in my organization."* +- *"Are my CloudTrail data events costing too much?"* +- *"Optimize my CloudTrail Lake retention and ingestion."* + +The agent will inventory trails and event data stores, size opportunities with any available cost signal, and generate `cloudtrail-cost-optimization--.md`. + +## Non-production disclaimer + +> ⚠️ This skill is sample code, not intended for production use without additional review and testing. Validate in a non-production environment first. Recommendations are derived from observed configuration and usage — review the compliance impact and narrow them before applying, and never apply a CloudTrail change you have not read. diff --git a/skills/cloudtrail-cost-optimization/SKILL.md b/skills/cloudtrail-cost-optimization/SKILL.md new file mode 100644 index 00000000..06557d25 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/SKILL.md @@ -0,0 +1,159 @@ +--- +name: cloudtrail-cost-optimization +description: Identify and quantify AWS CloudTrail cost optimization opportunities. + Use this skill when a user asks to reduce, review, audit, or optimize CloudTrail + spend, or reports an unexpected CloudTrail cost or usage increase. Activate on + requests like "why is my CloudTrail bill so high", "reduce CloudTrail costs", + "find duplicate CloudTrail trails", "CloudTrail cost review", "optimize CloudTrail + Lake", or "CloudTrail data events are expensive". This skill analyzes trails, + event selectors, and CloudTrail Lake event data stores through read-only AWS APIs + to surface duplicate management-event trails, unnecessary read events, high-volume + noise events (KMS, RDS Data API), overly broad data event logging, and Lake + ingestion/retention waste, producing a severity-ranked report of savings. +metadata: + author: holmalla + version: "1.1.1" + aws-devops-agent-skills.agent-types: "Chat tasks, Evaluation" + aws-devops-agent-skills.aws-services: "AWS CloudTrail" + aws-devops-agent-skills.technical-domains: "Security, Cost Optimization" +--- + +# AWS CloudTrail Cost Optimization + +Identify, quantify, and prioritize AWS CloudTrail cost optimization opportunities +aligned with [Managing CloudTrail trail costs](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-trail-manage-costs.html) +and [CloudTrail pricing](https://aws.amazon.com/cloudtrail/pricing/). + +This skill uses **read-only CloudTrail, CloudWatch, S3, and Organizations APIs +only**. It never creates, updates, or deletes a trail, event data store, or event +selector — all remediation is delivered as recommendations for a human to review +and apply. It does not read the content of any logged event. + +## When to Use + +Activate this skill when the user asks to: +- Reduce or optimize AWS CloudTrail costs +- Investigate an unexpected CloudTrail cost or usage spike +- Find duplicate or redundant trails across accounts/regions +- Review event selectors, data event logging, or CloudTrail Lake spend +- Perform a CloudTrail cost review or FinOps assessment + +## How CloudTrail Billing Works + +The pricing model is the foundation of every finding below. The essentials: + +- **Management events**: the first copy per Region is **free**; every additional + copy is billed. Duplicate management-event trails are the most common overspend. +- **Data events**: **every** copy is billed, including the first — there is no free + copy. The lever is narrowing scope, not de-duplication. +- **CloudTrail Lake**: billed per GB ingested and per GB-month stored, depending on + the event data store's pricing option and retention. +- **S3 log storage**: standard S3 storage on the destination bucket. + +For the full charge-by-charge table and the detailed billing consequences the checks +rely on, load [references/billing-model.md](references/billing-model.md) when you need +to decide whether a specific trail copy is free or paid, or to explain a charge. + +## Workflow + +Work through these steps in order — each depends on the output of the one before it. + +- [ ] **Step 1: Identify target scope.** Ask the user which accounts and Regions to + review, and whether the account is a standalone account, an Organizations + management/delegated-administrator account, or a member account. Accept specific + account IDs and Regions, "all regions" for a given account, or "organization" to + reason about org-wide trail duplication. If no scope is given, default to the + current account across all Regions, and set the CloudWatch/usage analysis window to + the last 30 days unless the user specifies a different range. + +- [ ] **Step 2: Inventory trails and event data stores.** Collect the complete trail + and CloudTrail Lake inventory using read-only APIs, and capture each trail's scope, + logging state, destination, and event-selector configuration. For the exact API + calls to make, what each returns, and the per-trail fields to record, load + [references/api-inventory.md](references/api-inventory.md). For organization scope, + also determine how many member accounts an Organizations trail replicates into. + +- [ ] **Step 3: Collect usage and volume signals.** CloudTrail does not publish + per-trail event counts as a first-class metric, so combine these signals to size + each opportunity: + - **CloudWatch `AWS/CloudTrail` usage metrics** (via `cloudwatch.GetMetricData`) + where available, to trend delivered event volume over the window. + - **S3 destination bucket size** (`s3.ListObjectsV2` / CloudWatch `BucketSizeBytes`) + as a proxy for relative trail volume when trails write to distinct buckets/prefixes. + - **CloudTrail Lake** event data store size and retention from `GetEventDataStore`. + - **Cost Explorer** (`ce.GetCostAndUsage`, filtered to the `AWSCloudTrail` service, + grouped by `USAGE_TYPE`) to attribute spend to `PaidEventsRecorded`, data events, + and Lake usage types. This is the most direct dollar signal — prefer it when the + role has Cost Explorer access. + + If neither Cost Explorer nor usage metrics are available, still report the + configuration findings (duplicates, read events, data event scope) and label the + dollar impact as "not quantified — enable Cost Explorer for sizing". + +- [ ] **Step 4: Analyze cost optimization opportunities.** Evaluate every trail and + event data store against the seven opportunity checks (§4.1 duplicate + management-event trails, §4.2 unneeded Read events, §4.3 high-volume noise events, + §4.4 overly broad data events, §4.5 Lake spend, §4.6 S3 hygiene, §4.7 idle trails). + Load [references/opportunities.md](references/opportunities.md) for the full check + definitions, severity guidance, and the critical **dedup-vs-filtering interaction + rule** (never stack a management-event filtering saving on top of a dedup saving — + see §4.1 and §4.3 preconditions). Assign each finding a severity (CRITICAL, HIGH, + MEDIUM, LOW, INFO) and, where a usage or cost signal exists, an estimated monthly + saving. + +- [ ] **Step 5: Validate findings.** Before writing the report, self-check the + findings: confirm no finding double-counts savings already captured by a §4.1 dedup, + verify each management-event filtering finding applies only to a paid copy that is + being kept (not the free authoritative trail), and confirm each dollar estimate + traces to a cited usage or cost signal. Drop or re-label any finding that fails + these checks. + +- [ ] **Step 6: Generate report.** Produce a shareable Markdown report artifact + following the structure, section order, and table schemas in + [assets/report-template.md](assets/report-template.md). Load that template when + generating the report. + +## Severity Definitions + +| Severity | Definition | SLA | +|----------|------------|-----| +| CRITICAL | Runaway cost (e.g. multiple duplicated data-event trails) causing large ongoing overspend | Fix within 24–48 hours | +| HIGH | Clear, sizable recurring saving (duplicate management trails, broad data events) | Fix within 1 week | +| MEDIUM | Notable saving (read events, KMS/RDS noise, Lake tuning) | Plan within 30 days | +| LOW | Minor saving or hygiene (S3 lifecycle) | Address when convenient | +| INFO | Observation, no direct charge | N/A | + +## Safety and Boundaries + +- **Read-only.** The skill calls only `Describe*`, `Get*`, `List*` APIs. It never + calls `CreateTrail`, `UpdateTrail`, `DeleteTrail`, `PutEventSelectors`, + `StopLogging`, or any Lake mutation. +- **Compliance first.** Before recommending disabling a trail, dropping Read events, + or excluding KMS/RDS events, state the audit/compliance tradeoff. Never recommend + reducing the single authoritative security trail below the organization's logging + requirements. When in doubt, recommend converting a duplicate to + data-events-only rather than deleting it. +- **Proposed changes are suggestions.** Every recommendation is for a human to review + and apply. Do not apply an event-selector or trail change you have not surfaced for + review. + +## Known Quirks + +- The **first copy of management events per Region is free** — do not flag a single + management trail per Region as a duplicate, and do not recommend KMS/RDS or Read-event + exclusions on it. Because that copy is free, filtering it saves nothing on management + events while removing those events from the only trail that captures them — a coverage + gap disguised as a saving. Management-event filtering is only a saving on a *paid* + (second-or-later) copy the customer keeps. +- **De-duplication and management-event filtering are mutually exclusive on the same + copy.** Recommending "delete the duplicate trail" and "exclude KMS/RDS on the + surviving trail" together is a contradiction: after dedup the survivor is the free + copy, so the exclusion saves ~$0 and blows a hole in coverage. Choose one path (see + §4.1 Interaction rule) and never stack the two savings. +- **Data events have no free copy** — even a single data-event trail is billed; the + opportunity there is scope, not de-duplication. +- CloudTrail does not expose reliable per-trail event counts; rely on Cost Explorer + usage types and S3 bucket size as volume proxies, and clearly label estimates as + approximate. +- Organizations trails appear as **shadow trails** in member accounts — set + `includeShadowTrails=true` and do not double-count them as member-created duplicates. diff --git a/skills/cloudtrail-cost-optimization/assets/report-template.md b/skills/cloudtrail-cost-optimization/assets/report-template.md new file mode 100644 index 00000000..1157118d --- /dev/null +++ b/skills/cloudtrail-cost-optimization/assets/report-template.md @@ -0,0 +1,49 @@ +# CloudTrail Cost Optimization Report Template + +Output template for the Step 5 report artifact. Load this when generating the final +report so the structure, section order, and table schemas are consistent. + +Artifact naming: `cloudtrail-cost-optimization--.md` +Example: `cloudtrail-cost-optimization-123456789012-2026-09-24.md` + +--- + +### Report Header +``` +# AWS CloudTrail Cost Optimization — +Date: | Scope: | Analysis window: to +``` + +### Executive Summary +- Estimated total monthly savings (sum of quantified opportunities) or "not quantified" +- Finding counts by severity +- Top 3 opportunities by estimated saving + +### Trail & Lake Inventory +| Trail / EDS | Multi-Region | Org | Logging | Mgmt (R/W) | Data events | KMS/RDS excl. | S3 bucket | +|-------------|-------------|-----|---------|-----------|-------------|---------------|-----------| + +### Cost Optimization Opportunities +| # | Opportunity | Severity | Current State | Recommendation | Est. Monthly Saving | +|---|-------------|----------|---------------|----------------|---------------------| + +### Cost Attribution (if Cost Explorer available) +| Usage Type | 30-Day Cost | Share | +|------------|-------------|-------| + +### Priority Matrix +| # | Opportunity | Severity | Effort | Est. Saving | +|---|-------------|----------|--------|-------------| + +### Next Steps +- Immediate (HIGH — within 7 days) +- Short-term (MEDIUM — within 30 days) +- Long-term (LOW — within 90 days) + +### Appendix — Reference Links +- [Managing CloudTrail trail costs](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-trail-manage-costs.html) +- [CloudTrail pricing](https://aws.amazon.com/cloudtrail/pricing/) +- [Remove duplicate CloudTrail events](https://repost.aws/knowledge-center/remove-duplicate-cloudtrail-events) +- [Optimize CloudTrail costs and maintain compliance](https://repost.aws/knowledge-center/optimize-cloudtrail-compliance) +- [Filtering data events with advanced event selectors](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/filtering-data-events.html) +- [Managing CloudTrail Lake costs](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-lake-manage-costs.html) diff --git a/skills/cloudtrail-cost-optimization/evals/best-practices/v1/benchmark.json b/skills/cloudtrail-cost-optimization/evals/best-practices/v1/benchmark.json new file mode 100644 index 00000000..ee43785e --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/best-practices/v1/benchmark.json @@ -0,0 +1,325 @@ +{ + "timestamp": "2026-09-29T13:57:10Z", + "version": "v1", + "model": "us.anthropic.claude-sonnet-5", + "iterations": 3, + "avg_confidence": "high", + "consistency": { + "consistency_score": 100, + "reports": [ + { + "iteration": 1, + "result": "passed", + "score": 100, + "total": 17, + "passed": 17, + "failed": 0, + "skipped": 0, + "warning": 0, + "errored": 0, + "low_confidence": 0, + "avg_confidence": "high" + }, + { + "iteration": 2, + "result": "passed", + "score": 100, + "total": 17, + "passed": 17, + "failed": 0, + "skipped": 0, + "warning": 0, + "errored": 0, + "low_confidence": 0, + "avg_confidence": "high" + }, + { + "iteration": 3, + "result": "passed", + "score": 100, + "total": 17, + "passed": 17, + "failed": 0, + "skipped": 0, + "warning": 0, + "errored": 0, + "low_confidence": 0, + "avg_confidence": "high" + } + ], + "per_test": [ + { + "id": "BP-01", + "name": "Effective description", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-02", + "name": "Verbosity and conciseness", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "medium", + "high", + "medium" + ], + "avg_confidence": "medium", + "consistent": true + }, + { + "id": "BP-03", + "name": "Detailed reference materials must not be in body", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "medium" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-04", + "name": "Reference files must be linked", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-05", + "name": "Reference links must specify when to load", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-06", + "name": "Reference path format", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-07", + "name": "Prescription vs description", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "medium", + "medium", + "medium" + ], + "avg_confidence": "medium", + "consistent": true + }, + { + "id": "BP-08", + "name": "Defaults, not menus", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "medium", + "high", + "medium" + ], + "avg_confidence": "medium", + "consistent": true + }, + { + "id": "BP-09", + "name": "Favor procedures over declarations", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-10", + "name": "Gotchas section", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-11", + "name": "Templates and outputs missing", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-12", + "name": "Templates and outputs must not be in body", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-13", + "name": "Asset files must be linked", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-14", + "name": "Asset links must specify when to load", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-15", + "name": "Asset path format", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-16", + "name": "Step-by-step guidance", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-17", + "name": "Validation loops", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + } + ] + } +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/best-practices/v1/iteration-1/best-practices-tests-results.json b/skills/cloudtrail-cost-optimization/evals/best-practices/v1/iteration-1/best-practices-tests-results.json new file mode 100644 index 00000000..2211671e --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/best-practices/v1/iteration-1/best-practices-tests-results.json @@ -0,0 +1,170 @@ +{ + "version": "v1", + "iteration": 1, + "timestamp": "2026-09-29T13:57:10Z", + "test_type": "best-practices", + "passing_score": 100, + "score": 100, + "result": "passed", + "summary": { + "total": 17, + "passed": 17, + "failed": 0, + "skipped": 0, + "warning": 0, + "errored": 0, + "low_confidence": 0, + "avg_confidence": "high" + }, + "tests": [ + { + "id": "BP-01", + "name": "Effective description", + "result": "passed", + "confidence": "high", + "reasoning": "The description uses imperative phrasing ('Use this skill when...'), focuses on user intent with concrete trigger phrases users might say (e.g., 'why is my CloudTrail bill so high', 'reduce CloudTrail costs'), and covers explicit trigger contexts including indirect phrasing like unexpected cost increases. It also briefly summarizes scope/implementation at the end but stays concise overall.", + "evidence": "Use this skill when a user asks to reduce, review, audit, or optimize CloudTrail spend, or reports an unexpected CloudTrail cost or usage increase. Activate on requests like \"why is my CloudTrail bill so high\", \"reduce CloudTrail costs\"...", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/optimizing-descriptions" + }, + { + "id": "BP-02", + "name": "Verbosity and conciseness", + "result": "passed", + "confidence": "medium", + "reasoning": "The body avoids explaining general concepts (e.g., what CloudTrail is) and focuses on billing specifics, workflow, and non-obvious rules like the dedup-vs-filtering interaction. Sections are dense but each sentence carries domain-specific information the agent needs.", + "evidence": "Management events: the first copy per Region is free; every additional copy is billed. Duplicate management-event trails are the most common overspend.", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#add-what-the-agent-lacks-omit-what-it-knows" + }, + { + "id": "BP-03", + "name": "Detailed reference materials must not be in body", + "result": "passed", + "confidence": "high", + "reasoning": "Detailed reference data (API call tables, opportunity check definitions, billing tables) are all pushed into references/ files, loaded conditionally. The body only keeps a short billing summary bullet list, not a full table.", + "evidence": "For the full charge-by-charge table and the detailed billing consequences the checks rely on, load references/billing-model.md when you need to decide whether a specific trail copy is free or paid, or to explain a charge.", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#structure-large-skills-with-progressive-disclosure" + }, + { + "id": "BP-04", + "name": "Reference files must be linked", + "result": "passed", + "confidence": "high", + "reasoning": "All three reference files (api-inventory.md, billing-model.md, opportunities.md) are linked via markdown links in the body.", + "evidence": "load [references/api-inventory.md](references/api-inventory.md) ... load [references/billing-model.md](references/billing-model.md) ... Load [references/opportunities.md](references/opportunities.md)" + }, + { + "id": "BP-05", + "name": "Reference links must specify when to load", + "result": "passed", + "confidence": "high", + "reasoning": "Each reference link specifies a clear trigger condition for when to load the file.", + "evidence": "load [references/api-inventory.md](references/api-inventory.md) when...For the exact API calls to make, what each returns, and the per-trail fields to record", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#structure-large-skills-with-progressive-disclosure" + }, + { + "id": "BP-06", + "name": "Reference path format", + "result": "passed", + "confidence": "high", + "reasoning": "All reference paths use relative paths from the skill root with the references/ prefix, no absolute paths or traversals.", + "evidence": "[references/opportunities.md](references/opportunities.md)", + "agent_skills_spec_reference": "https://agentskills.io/specification#file-references" + }, + { + "id": "BP-07", + "name": "Prescription vs description", + "result": "passed", + "confidence": "medium", + "reasoning": "Fragile/compliance-sensitive operations (safety boundaries, dedup-vs-filtering rule) are prescriptive with exact do/don't rules, while flexible tasks like scope selection and volume signal gathering explain rationale and allow agent judgment.", + "evidence": "Never recommend reducing the single authoritative security trail below the organization's logging requirements. When in doubt, recommend converting a duplicate to data-events-only rather than deleting it.", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#match-specificity-to-fragility" + }, + { + "id": "BP-08", + "name": "Defaults, not menus", + "result": "passed", + "confidence": "medium", + "reasoning": "When multiple signals/tools are presented for usage collection, Cost Explorer is clearly designated as the preferred/default signal with others as fallbacks.", + "evidence": "This is the most direct dollar signal \u2014 prefer it when the role has Cost Explorer access.", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#provide-defaults-not-menus" + }, + { + "id": "BP-09", + "name": "Favor procedures over declarations", + "result": "passed", + "confidence": "high", + "reasoning": "The workflow teaches a generalizable procedure (identify scope, inventory, collect signals, analyze, validate, report) applicable to any CloudTrail cost review, not a one-off instance.", + "evidence": "Step 1: Identify target scope. Ask the user which accounts and Regions to review...", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#favor-procedures-over-declarations" + }, + { + "id": "BP-10", + "name": "Gotchas section", + "result": "passed", + "confidence": "high", + "reasoning": "A dedicated 'Known Quirks' section documents concrete, non-obvious pitfalls specific to CloudTrail billing and shadow trails.", + "evidence": "Organizations trails appear as shadow trails in member accounts \u2014 set includeShadowTrails=true and do not double-count them as member-created duplicates.", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#gotchas-sections" + }, + { + "id": "BP-11", + "name": "Templates and outputs missing", + "result": "passed", + "confidence": "high", + "reasoning": "The skill produces a structured report and provides an assets/report-template.md referenced for that purpose.", + "evidence": "Produce a shareable Markdown report artifact following the structure, section order, and table schemas in [assets/report-template.md](assets/report-template.md).", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#templates-for-output-format" + }, + { + "id": "BP-12", + "name": "Templates and outputs must not be in body", + "result": "passed", + "confidence": "high", + "reasoning": "No large template exists inline in the body; only a small severity definitions table (5 rows) is present, well under 20 lines, and the full report template is externalized to assets/.", + "evidence": "| Severity | Definition | SLA |\n|----------|------------|-----|\n| CRITICAL | ... |", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#templates-for-output-format" + }, + { + "id": "BP-13", + "name": "Asset files must be linked", + "result": "passed", + "confidence": "high", + "reasoning": "The single asset file report-template.md is linked in the body.", + "evidence": "Load that template when generating the report. [assets/report-template.md](assets/report-template.md)" + }, + { + "id": "BP-14", + "name": "Asset links must specify when to load", + "result": "passed", + "confidence": "high", + "reasoning": "The asset link specifies clearly when to load it \u2014 when generating the final report.", + "evidence": "Produce a shareable Markdown report artifact following the structure, section order, and table schemas in [assets/report-template.md](assets/report-template.md). Load that template when generating the report." + }, + { + "id": "BP-15", + "name": "Asset path format", + "result": "passed", + "confidence": "high", + "reasoning": "The asset reference uses a relative path from skill root with assets/ prefix.", + "evidence": "[assets/report-template.md](assets/report-template.md)" + }, + { + "id": "BP-16", + "name": "Step-by-step guidance", + "result": "passed", + "confidence": "high", + "reasoning": "The workflow is procedural with dependent steps and correctly uses the checkbox '- [ ] Step N:' format as required.", + "evidence": "- [ ] **Step 1: Identify target scope.** ... - [ ] **Step 2: Inventory trails and event data stores.**", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#checklists-for-multi-step-workflows" + }, + { + "id": "BP-17", + "name": "Validation loops", + "result": "passed", + "confidence": "high", + "reasoning": "Step 5 explicitly instructs the agent to self-check findings for double-counting and traceability before producing the report, satisfying the validation loop requirement.", + "evidence": "Step 5: Validate findings. Before writing the report, self-check the findings: confirm no finding double-counts savings already captured by a \u00a74.1 dedup, verify each management-event filtering finding applies only to a paid copy that is being kept...", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#validation-loops" + } + ] +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/eval_queries.json b/skills/cloudtrail-cost-optimization/evals/eval_queries.json new file mode 100644 index 00000000..0b0de773 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/eval_queries.json @@ -0,0 +1,8 @@ +[ + {"query": "Which skill would help me reduce my AWS CloudTrail costs? Just name it; do not run it.", "should_trigger": true}, + {"query": "Is there a skill for finding duplicate CloudTrail trails and optimizing CloudTrail spend? Answer yes or no with the skill name; do not execute it.", "should_trigger": true}, + {"query": "Name the skill that reviews CloudTrail data events, event selectors, and Lake ingestion for cost savings. Do not run any review.", "should_trigger": true}, + {"query": "Write a Python script that sorts a list of numbers", "should_trigger": false}, + {"query": "What's the weather forecast for Seattle this weekend?", "should_trigger": false}, + {"query": "Create a CloudFormation template for an S3 bucket", "should_trigger": false} +] diff --git a/skills/cloudtrail-cost-optimization/evals/evals.json b/skills/cloudtrail-cost-optimization/evals/evals.json new file mode 100644 index 00000000..21f58322 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/evals.json @@ -0,0 +1,77 @@ +{ + "skill_name": "cloudtrail-cost-optimization", + "evals": [ + { + "id": "cloudtrail-cost-severity-definitions", + "task_type": "chat", + "prompt": "List the five severity levels the AWS CloudTrail cost optimization skill uses for its findings, in order from most to least urgent. No account access required.", + "expected_output": "Lists CRITICAL, HIGH, MEDIUM, LOW, INFO in that order.", + "should_trigger": true, + "assertions": [ + {"text": "lists CRITICAL", "evaluator": "regex", "pattern": "CRITICAL"}, + {"text": "lists HIGH", "evaluator": "regex", "pattern": "HIGH"}, + {"text": "lists MEDIUM", "evaluator": "regex", "pattern": "MEDIUM"}, + {"text": "lists LOW", "evaluator": "regex", "pattern": "LOW"}, + {"text": "lists INFO", "evaluator": "regex", "pattern": "INFO"}, + "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)" + ] + }, + { + "id": "cloudtrail-cost-billing-model", + "task_type": "chat", + "prompt": "According to the AWS CloudTrail cost optimization skill, are CloudTrail data events ever free? And is the first copy of management events per Region free? No account access required.", + "expected_output": "States that the first copy of management events per Region is free, but data events are never free - every data event delivery is billed.", + "should_trigger": true, + "assertions": [ + "The response states the first copy of management events per Region is free", + "The response addresses CloudTrail data events", + "The response states that data events are never free or are always billed" + ] + }, + { + "id": "cloudtrail-cost-duplicate-reasoning", + "task_type": "chat", + "prompt": "In us-east-1 I have two trails both logging All management events: a multi-Region organization trail (org-multi-region-trail) and a separate single-Region trail (legacy-security-trail). Which one is the paid duplicate, and what is the recommended fix? Explain briefly why, based on CloudTrail's free-copy rule. No account access required.", + "expected_output": "Identifies the single-Region legacy-security-trail as the paid duplicate because the multi-Region org trail already delivers the free first copy of management events in every Region, and recommends turning off management event logging on the single-Region trail (or converting it to data-events-only) rather than deleting the authoritative multi-Region trail.", + "should_trigger": true, + "assertions": [ + "The response identifies the single-Region trail (legacy-security-trail) as the paid duplicate", + "The response explains the fix in terms of a duplicate or paid second copy of management events", + "The response references CloudTrail's free first copy rule for management events", + "The response keeps the multi-Region/authoritative trail rather than recommending deleting it" + ] + }, + { + "id": "cloudtrail-cost-dedup-exclusion-interaction", + "task_type": "chat", + "prompt": "I plan to de-duplicate down to a single management-event trail, and I also want to exclude KMS and RDS Data API events from that surviving trail to save money. Is excluding those events from the sole remaining trail a real cost saving? Explain, based on how CloudTrail bills management events. No account access required.", + "expected_output": "Explains that once you are down to a single management-event trail, that trail's management events are the free first copy per Region, so excluding KMS/RDS from it saves ~$0 on management events and instead removes those events from the only trail capturing them - a coverage/audit gap, not a saving. KMS/RDS exclusion only saves money on a paid (second-or-later) copy that is deliberately kept; de-duplication and management-event filtering should not be stacked as additive savings on the same copy.", + "should_trigger": true, + "assertions": [ + "The response states that the single surviving trail's management events are the free first copy, so excluding KMS/RDS from it does not save money", + "The response warns that excluding those events from the sole trail creates a coverage/audit gap rather than a saving", + "The response notes that management-event exclusion only saves money on a paid (second-or-later) copy, not the single authoritative trail" + ] + }, + { + "id": "cloudtrail-cost-artifact-naming", + "task_type": "chat", + "prompt": "For an AWS CloudTrail cost optimization review of account 123456789012, state the report artifact filename you would generate (use today's date in YYYY-MM-DD form). Do not run the review.", + "expected_output": "Proposes an artifact name of the form cloudtrail-cost-optimization-123456789012-.md.", + "should_trigger": true, + "assertions": [ + {"text": "The response proposes an artifact filename of the form cloudtrail-cost-optimization--.md", "evaluator": "regex", "pattern": "cloudtrail-cost-optimization-[0-9]+-\\d{4}-\\d{2}-\\d{2}\\.md"} + ] + }, + { + "id": "cloudtrail-cost-negative-trigger", + "task_type": "chat", + "prompt": "Help me write an S3 bucket policy that grants a specific IAM role read-only access to one prefix.", + "expected_output": "The CloudTrail cost optimization skill should not activate - this is an S3 bucket policy authoring request unrelated to CloudTrail cost.", + "should_trigger": false, + "assertions": [ + "The response addresses writing an S3 bucket policy and does not steer the user into a CloudTrail cost optimization review" + ] + } + ] +} diff --git a/skills/cloudtrail-cost-optimization/evals/files/cloudtrail-context.json b/skills/cloudtrail-cost-optimization/evals/files/cloudtrail-context.json new file mode 100644 index 00000000..61c28f94 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/files/cloudtrail-context.json @@ -0,0 +1,46 @@ +{ + "account": "$accountId", + "trails": [ + { + "name": "org-multi-region-trail", + "isMultiRegionTrail": true, + "isOrganizationTrail": true, + "isLogging": true, + "managementEvents": true, + "managementEventReadWriteType": "All", + "dataEvents": false, + "region": "us-east-1", + "s3Bucket": "org-cloudtrail-logs" + }, + { + "name": "legacy-security-trail", + "isMultiRegionTrail": false, + "isOrganizationTrail": false, + "isLogging": true, + "managementEvents": true, + "managementEventReadWriteType": "All", + "dataEvents": false, + "region": "us-east-1", + "s3Bucket": "legacy-security-logs" + }, + { + "name": "s3-data-events-all-buckets", + "isMultiRegionTrail": false, + "isOrganizationTrail": false, + "isLogging": true, + "managementEvents": false, + "dataEvents": true, + "dataEventScope": "all S3 buckets", + "region": "us-west-2", + "s3Bucket": "data-event-logs" + } + ], + "eventDataStores": [ + { + "name": "audit-lake-store", + "retentionDays": 2555, + "pricingOption": "FIXED_RETENTION_PRICING", + "multiRegion": true + } + ] +} diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/benchmark.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/benchmark.json new file mode 100644 index 00000000..c7a6ee63 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/benchmark.json @@ -0,0 +1,1220 @@ +{ + "summary": "This A/B run covered 6 CloudTrail cost/security evals (33 total iterations), all completing without hard failures. Results were mixed and eval-dependent, with several notable data-quality caveats.\n\n**Where with_skill and without_skill diverged clearly:**\n- In \"cloudtrail-cost-severity-definitions\", with_skill passed 100% of expected-output checks and all 18 assertions (high confidence), while without_skill failed 100% of the same checks (0/18 assertions, also high confidence) \u2014 a clean, high-confidence divergence favoring with_skill on this eval. with_skill's output was also fully consistent across runs, while without_skill's was only \"mostly consistent.\"\n- In \"cloudtrail-cost-artifact-naming\", the single filename-format assertion passed for with_skill (3/3) and failed for without_skill (0/3), another clean divergence favoring with_skill. without_skill's output consistency here was only \"mostly consistent\" (with_skill's consistency data wasn't available for this eval).\n\n**Where both variants performed identically (assertion not discriminating):**\n- \"cloudtrail-cost-billing-model\": both hit 100% on expected output and all 9 assertions (all \"always_passes\" pattern \u2014 this eval isn't distinguishing the variants on pass/fail). However, a quality-comparison layer here favored with_skill in 8 of 9 evaluated pairs (accuracy, actionability, completeness), with medium confidence, while with_skill also ran slightly longer (6s vs 5s) and cost slightly more ($0.05 vs $0.04) \u2014 a runtime/cost tradeoff against a quality edge. with_skill's output was fully consistent; without_skill's was \"mostly consistent.\"\n- \"cloudtrail-cost-duplicate-reasoning\": both variants passed 100% of expected output and all 12 assertions identically. Notably, the trigger itself did not fire in this eval (0/3), which is an important caveat \u2014 the underlying test condition may not have been exercised as intended. Consistency data was only available for without_skill (consistent); with_skill's consistency was not reported (null).\n- \"cloudtrail-cost-dedup-exclusion-interaction\": both variants tied at 67% assertion pass rate (6/9), with the same assertion (\"warns of coverage/audit gap\") failing for both \u2014 indicating that specific behavior is not being met by either variant, a gap in the agent behavior (or possibly the assertion itself) rather than a difference between variants. Trigger also did not fire here (0/3), another caveat. Only without_skill had consistency data reported (\"mostly consistent\").\n\n**Trigger-fired anomalies:** Three evals (\"duplicate-reasoning\", \"dedup-exclusion-interaction\", \"artifact-naming\") show trigger_fired at 0/3 despite expected-output and assertion checks still producing results \u2014 this suggests the trigger-detection measurement itself may be unreliable or not applicable in these cases, and should be treated as missing/uncertain data rather than a finding about either variant.\n\n**Skipped eval:** \"cloudtrail-cost-negative-trigger\" was a should-not-trigger test; trigger_fired passed 3/3 (correctly not triggering), and all other dimensions were intentionally skipped as not applicable.\n\n**Quality comparisons:** Only one eval (billing-model) had quality pairs actually evaluated (3 pairs, medium confidence, favoring with_skill on most criteria); the other four chat evals with quality sections all had pairs_skipped=3/pairs_evaluated=0, meaning no comparative quality judgment could be made there.\n\n**Overall:** with_skill showed clean, high-confidence advantages on two evals (severity-definitions, artifact-naming) and a quality edge with a small time/cost cost on billing-model; the two variants were statistically tied (identical pass/fail patterns) on duplicate-reasoning and dedup-exclusion-interaction, the latter also revealing a shared behavioral gap (audit-gap warning) neither variant satisfies. Several consistency and trigger-fired fields are missing or only available for one variant, and some quality comparisons couldn't be computed at all, limiting how much can be concluded from those specific dimensions.", + "timestamp": "2026-09-29T14:01:27Z", + "version": "v1", + "model": "us.anthropic.claude-sonnet-5", + "iterations": 3, + "total_evals": 6, + "total_iterations_run": 33, + "total_failed": 0, + "cleanup_skipped": false, + "understanding_agent_space_skill": { + "enabled": false, + "found": 0, + "timed_out": 0, + "errored": 0, + "not_waited": 33 + }, + "evals": { + "cloudtrail-cost-severity-definitions": { + "summary": "This eval measured chat responses expected to list the five severity levels (CRITICAL, HIGH, MEDIUM, LOW, INFO) in order, likely in a CloudTrail-related security/cost context. The behavior under test (trigger) fired in all 3 runs for both variants, so the comparison is meaningful.\n\nExpected output and assertions show a stark, consistent split: with_skill met the expected output in 3/3 runs (100%, high confidence) and passed all 18/18 individual assertions across the 6 checked criteria (listing each severity level plus correct ordering from most to least urgent). without_skill met the expected output in 0/3 runs and failed all 18/18 assertions \u2014 every single assertion (lists CRITICAL/HIGH/MEDIUM/LOW/INFO, and the ordering check) shows the identical pattern: with_skill passes, without_skill fails, with no assertions passing for both or failing for both. This is a uniform, high-confidence failure pattern for without_skill on this task, not a partial or mixed result \u2014 both regex-based and LLM-judged assertions agree.\n\nOn quality comparison, no pairs could be directly evaluated (0 pairs_evaluated, 3 skipped), so there's no head-to-head quality judgment available beyond the pass/fail assertions themselves.\n\nOn cost and runtime, without_skill averaged 0s runtime and $0.00 cost versus with_skill's ~5s and $0.04 \u2014 a notable efficiency difference, but in this instance it appears to coincide with without_skill not producing the expected content at all (0% expected-output match), so the speed/cost advantage should not be read as a positive efficiency finding; it may simply reflect a much shorter or empty/incomplete response. Context window utilization was low and similar for both (~3.6% vs 4.4%), with no compaction events for either.\n\nOutput consistency was rated 'consistent' for with_skill (score 3.0, high confidence) and 'mostly_consistent' for without_skill (score 2.33, medium confidence), meaning without_skill's outputs varied somewhat more across repeated runs, though this is a secondary signal compared to the outright expected-output failures.\n\nOverall, this single eval shows a clear, consistent divergence: with_skill satisfied all expected-output and assertion checks with high confidence, while without_skill failed all of them, despite running faster and cheaper. No quality-comparison pairs were available to add nuance, and the cost/speed difference for without_skill should be weighed against its complete failure to meet the expected content in this eval rather than treated as a standalone efficiency win.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0, + "low_confidence": 0, + "avg_confidence": "high" + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "lists CRITICAL", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "classification": "skill_uplift" + }, + { + "index": 1, + "text": "lists HIGH", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "classification": "skill_uplift" + }, + { + "index": 2, + "text": "lists MEDIUM", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "classification": "skill_uplift" + }, + { + "index": 3, + "text": "lists LOW", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "classification": "skill_uplift" + }, + { + "index": 4, + "text": "lists INFO", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "classification": "skill_uplift" + }, + { + "index": 5, + "text": "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0, + "avg_confidence": "high" + }, + "classification": "skill_uplift" + } + ], + "with_skill": { + "pass_rate": "18/18", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/18", + "percentage": 0 + } + }, + "metrics": { + "with_skill": { + "runtime_avg": "5s", + "cost_avg": "$0.04", + "context_window_avg": { + "utilization": "4.4%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.6%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 0, + "pairs_skipped": 3, + "skip_reasons": [ + "without_skill expected_output test failed" + ], + "overall": { + "with_skill_wins": 0, + "without_skill_wins": 0, + "equivalent": 0, + "winner": "equivalent", + "summary": "Equivalent overall (0 vs 0 criterion wins out of 0 judgments)." + }, + "per_criterion": {}, + "iterations": [ + { + "iteration": 1, + "skipped": true, + "skip_reason": "without_skill expected_output test failed" + }, + { + "iteration": 2, + "skipped": true, + "skip_reason": "without_skill expected_output test failed" + }, + { + "iteration": 3, + "skipped": true, + "skip_reason": "without_skill expected_output test failed" + } + ] + } + }, + "output_consistency": { + "comparison": { + "more_consistent": "with_skill", + "with_skill_wins": 2, + "without_skill_wins": 0, + "equivalent": 1, + "summary": "with_skill is more consistent: it won 2 dimension(s), without_skill 0, 1 equivalent of 3." + }, + "with_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "consistent", + "overall_score": 3.0, + "dimension_counts": { + "consistent": 3 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs list the same five severity levels in the same order (CRITICAL, HIGH, MEDIUM, LOW, INFO) with the same key facts about timeframes and descriptions. Minor wording and examples differ but the substance (levels, order, SLA timeframes) is identical across all three.", + "evidence": "All list: 1. CRITICAL (24-48 hours), 2. HIGH (1 week), 3. MEDIUM (30 days), 4. LOW (address when convenient), 5. INFO (no SLA)" + }, + "recommendation_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "The prompt is a factual listing question, not a recommendation request. All outputs implicitly convey the same 'next step' guidance embedded in the severity descriptions (fix within X timeframe), and none provide additional differing recommendations beyond this.", + "evidence": "Each severity level includes the same associated action/timeframe guidance across all outputs." + }, + "format_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs use the same numbered list format with bolded severity names, followed by a description and timeframe, introduced by the same lead-in sentence.", + "evidence": "All begin with 'The five severity levels, from most to least urgent, are:' followed by a numbered list of five items with bold severity names." + } + } + }, + "without_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "mostly_consistent", + "overall_score": 2.33, + "dimension_counts": { + "consistent": 1, + "mostly_consistent": 2 + }, + "avg_confidence": "medium", + "per_dimension": { + "answer_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs give the same core answer: they claim no 'AWS CloudTrail cost optimization' skill exists in their catalog, so they cannot list the five severity levels. All decline to answer the specific question and describe similar available skill categories (investigations, recommendations, release management).", + "evidence": "Iteration 1: 'I don't have a skill specifically called \"AWS CloudTrail cost optimization\" in my available skill catalog, so I can't pull severity levels from it.' Iteration 2: 'I don't have a skill specifically called \"CloudTrail cost optimization\" in my available skill catalog...' Iteration 3: 'I don't have a skill specifically called an \"AWS CloudTrail cost optimization skill\" in my available skill list...'" + }, + "recommendation_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "All three suggest clarifying the skill name or pointing to where it might be defined, and offer to help with related tasks. However, iteration 2 uniquely offers to look up general AWS documentation guidance, while iterations 1 and 3 do not mention this option, making iteration 2 materially different in scope of next steps.", + "evidence": "Iteration 2: 'General AWS documentation lookup if you want me to check published guidance on CloudTrail cost optimization severity conventions.' Iteration 1: 'Is there something else I can help with \u2014 like reviewing CloudTrail-related recommendations...' Iteration 3: 'If you have this skill defined elsewhere (e.g., a custom skill in your agent space or a runbook), I'd be happy to look it up...'", + "diverging_iterations": [ + 2 + ] + }, + "format_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "All three responses are prose-based with a similar structure: an opening statement denying the skill exists, a clarifying paragraph about what skills are available, and a closing offer to help further. Iteration 2 uses a bulleted list to enumerate available skills, while iterations 1 and 3 use pure prose without bullet points, creating a minor structural difference.", + "evidence": "Iteration 2 uses: '- Skills for investigations, recommendations, release management, testing, and infrastructure discovery\n- General AWS documentation lookup...' Iterations 1 and 3 present this information in prose sentences without bullets.", + "diverging_iterations": [ + 2 + ] + } + } + } + } + }, + "cloudtrail-cost-billing-model": { + "summary": "This eval covers a single chat task (3 runs each) about AWS CloudTrail billing behavior (free management events vs. billed data events). The trigger behavior fired in all runs (3/3), and both variants met the expected output on all 3 runs with high confidence \u2014 no difference there.\n\nAssertions: both variants passed all 9/9 assertion checks (3 assertions \u00d7 3 runs), each with high confidence. All three assertions (free management events, addressing data events, data events always billed) passed for both variants every time, so none of these assertions differentiate the two systems \u2014 they indicate the core factual content was reliably covered by both.\n\nWhere a difference shows up is in the quality comparison. Across 3 evaluated pairs (none skipped), with_skill was favored in 8 of 9 total criterion judgments (accuracy, actionability, completeness), with 1 comparable and 0 favoring without_skill. This pattern was consistent across all three quality criteria (accuracy, actionability, completeness), each showing with_skill favored or comparable, never without_skill favored. However, this comparison rests on only 3 pairs with medium average confidence, so it's a real but modest-sized signal rather than a strong one.\n\nOutput consistency also differed: with_skill was rated \"consistent\" across all 3 runs (score 3.0, high confidence), while without_skill was \"mostly_consistent\" (score 2.0, medium confidence) \u2014 suggesting without_skill's outputs varied a bit more run-to-run, though both stayed in reasonably stable territory.\n\nOn runtime and cost, without_skill was slightly faster (5s vs 6s) and slightly cheaper ($0.04 vs $0.05), and used marginally less context window (3.8% vs 4.3%); neither showed any compaction events, and neither exceeded the 30s runtime threshold in any of the 3 evaluated pairs.\n\nOverall: both variants reliably satisfied the expected output and all assertions, indicating the underlying task was handled correctly by both. The distinguishing signals are that with_skill tended to be favored on quality (accuracy/actionability/completeness) and was more run-to-run consistent, while without_skill was marginally faster/cheaper. Given the small sample size (3 pairs/runs) and medium confidence on the quality comparison, these differences should be read as directional tendencies rather than definitive conclusions.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "The response states the first copy of management events per Region is free", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 1, + "text": "The response addresses CloudTrail data events", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 2, + "text": "The response states that data events are never free or are always billed", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + } + ], + "with_skill": { + "pass_rate": "9/9", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "9/9", + "percentage": 100 + } + }, + "metrics": { + "with_skill": { + "runtime_avg": "6s", + "cost_avg": "$0.05", + "context_window_avg": { + "utilization": "4.3%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "5s", + "cost_avg": "$0.04", + "context_window_avg": { + "utilization": "3.8%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 3, + "pairs_skipped": 0, + "skip_reasons": [], + "overall": { + "with_skill_wins": 8, + "without_skill_wins": 0, + "equivalent": 1, + "winner": "with_skill", + "avg_confidence": "medium", + "summary": "with_skill wins overall (8 vs 0 criterion wins out of 9 judgments, avg confidence: medium)." + }, + "per_criterion": { + "accuracy": { + "with_skill_wins": 2, + "without_skill_wins": 0, + "equivalent": 1 + }, + "actionability": { + "with_skill_wins": 3, + "without_skill_wins": 0, + "equivalent": 0 + }, + "completeness": { + "with_skill_wins": 3, + "without_skill_wins": 0, + "equivalent": 0 + } + }, + "iterations": [ + { + "iteration": 1, + "overall_winner": "with_skill", + "position_assignment": "with_skill=output_b", + "criteria": [ + { + "criterion": "accuracy", + "winner": "with_skill", + "confidence": "medium", + "reasoning": "Both outputs correctly state that data events are never free and that the first copy of management events per Region is free. However, Output A frames the free management events benefit as 'per trail' rather than 'per Region', which is a subtle but important distinction based on AWS's actual billing model (the free tier is per Region, not per trail - if you have multiple trails in the same region, only one combined copy is free, not one free copy per trail). Output B correctly frames it as 'per Region' consistently with the user's question phrasing and AWS's actual model. Output B also adds a plausible nuance about not filtering the free trail, which aligns with cost optimization best practices, though this specific detail cannot be fully verified from the prompt alone.", + "evidence": "Output A: 'Management events: The first copy is free per trail \u2014 if you have one trail logging management events in a Region, there's no charge for that. Any additional copies (e.g., a second trail logging management events in the same Region) do incur charges.' Output B: 'Management events do get one free copy per Region \u2014 the first copy is free, and only additional (second-or-later) copies are billed.'" + }, + { + "criterion": "actionability", + "winner": "with_skill", + "confidence": "medium", + "reasoning": "Output B provides additional actionable guidance beyond just answering the direct question - it explains a common pitfall (duplicate management-event trails causing overspend) and gives specific guidance on when filtering makes sense (only on paid, second-or-later copies) versus when it doesn't (on the free trail, since it saves $0 and creates a coverage gap). This gives the user concrete, practical next steps for cost optimization. Output A only answers the direct question without additional actionable insight.", + "evidence": "Output B: 'This is why duplicate management-event trails are the most common source of overspend... don't exclude things like KMS/RDS noise or Read events from that single free management trail... Filtering only makes sense on a paid, second-or-later copy you're keeping.'" + }, + { + "criterion": "completeness", + "winner": "with_skill", + "confidence": "medium", + "reasoning": "Both outputs answer the two explicit questions asked (are data events ever free, is first copy of management events free). Output B goes further by addressing implicit related concerns from a cost-optimization skill perspective - explaining why this matters practically (common source of overspend) and clarifying a related nuance about filtering strategy that ties directly into the 'cost optimization skill' context mentioned in the prompt. This makes Output B more complete in addressing the spirit of the question, which specifically references the 'cost optimization skill.'", + "evidence": "Output B includes: 'the only way to save is by narrowing scope (fewer resource types/ARNs covered), not by de-duplicating' and the entire paragraph about filtering nuances, which extends beyond the yes/no answer to provide fuller context relevant to cost optimization." + } + ] + }, + { + "iteration": 2, + "overall_winner": "with_skill", + "position_assignment": "with_skill=output_b", + "criteria": [ + { + "criterion": "accuracy", + "winner": "equivalent", + "confidence": "medium", + "reasoning": "Both outputs correctly answer the two factual questions: data events are never free, and the first copy of management events per Region is free. Output A's core claims are accurate and consistent with AWS CloudTrail pricing documentation. Output B adds additional nuance (e.g., the warning about not excluding noisy events like KMS/RDS or Read events from the free management event trail) which, if accurately reflecting the skill's content, adds correct depth; however, this claim cannot be independently verified from the prompt alone and could be an embellishment not explicitly stated in the source skill. Since we cannot confirm the skill actually contains this specific guidance, there's slight risk of fabrication in B, but the added detail is plausible and consistent with common CloudTrail cost optimization guidance. Given the uncertainty, treat as equivalent with medium confidence.", + "evidence": "Output A: 'No, data events are never free... yes, the first copy is free.' Output B: 'Data events: No, never free... Management events: Yes \u2014 the first copy per Region is free... the skill explicitly warns against optimizing it by excluding noisy events (like KMS/RDS) or Read events.'" + }, + { + "criterion": "actionability", + "winner": "with_skill", + "confidence": "medium", + "reasoning": "Output B provides a slightly more actionable insight by explaining why duplicate trails are the main source of overspend and cautioning against a specific optimization mistake (excluding noisy events from the free trail), which gives the user concrete guidance on what NOT to do. Output A only mentions the S3 storage cost caveat, which is useful but less specific in terms of actionable guidance about avoiding pitfalls.", + "evidence": "Output B: '...duplicate management-event trails are called out as the most common source of overspend' and 'the skill explicitly warns against optimizing it by excluding noisy events... since it's the only trail capturing those events.' Output A: 'Note that you're still billed separately for the S3 storage used to hold the logs, regardless of event type.'" + }, + { + "criterion": "completeness", + "winner": "with_skill", + "confidence": "medium", + "reasoning": "Output B covers the same core facts as Output A but adds extra context about scope narrowing for data events and the risk of misguided optimization on the free management event trail, giving a more complete picture of the skill's guidance. Output A adds the S3 storage cost note, which Output B does not mention, but overall B's additional details more thoroughly address the nuances of the cost optimization skill.", + "evidence": "Output B: 'The only lever for savings is narrowing scope (which accounts/resources/event types are logged), not de-duplication.' and the noisy events warning. Output A: 'Note that you're still billed separately for the S3 storage used to hold the logs, regardless of event type.'" + } + ] + }, + { + "iteration": 3, + "overall_winner": "with_skill", + "position_assignment": "with_skill=output_b", + "criteria": [ + { + "criterion": "accuracy", + "winner": "with_skill", + "confidence": "medium", + "reasoning": "Both outputs give the same core factual answer (data events never free, first management event copy per Region free), which aligns with AWS CloudTrail pricing documentation. However, Output A explicitly claims it does not have the referenced skill and instead relied on general AWS documentation, which contradicts the premise of the user's question asking specifically 'according to the skill.' This is a notable inaccuracy/mismatch with the task framing, since the user asked the agent to reference a specific skill. Output B presents the answer as coming directly from the skill's billing model, which is more consistent with what was requested, and adds a plausible, internally consistent nuance about the skill's guidance on optimization limits for the free copy. However, without visibility into the actual skill content, it's not fully verifiable whether B's added claim about the skill's explicit warning is accurate or fabricated. Still, in terms of following the framing and not disclaiming skill absence incorrectly, B is judged more accurate to the task context.", + "evidence": "Output A: 'I don't actually have a skill named \"AWS CloudTrail cost optimization\" in my available skill set, so I can't answer on that skill's authority specifically. I checked AWS documentation directly instead.' Output B: 'Straight from the skill's billing model... the skill explicitly warns against \"optimizing\" it further (e.g., excluding KMS/RDS or Read events) \u2014 doing so saves nothing and just creates a coverage gap, since it's your only free copy.'" + }, + { + "criterion": "actionability", + "winner": "with_skill", + "confidence": "medium", + "reasoning": "Output B provides more actionable guidance by explicitly identifying where savings opportunities lie (duplicate management-event trails) and explicitly warning against a specific optimization mistake (excluding KMS/RDS or Read events on the free copy), which gives the user concrete dos and don'ts. Output A only adds a tangential note about S3 storage costs, which, while relevant, is less directly tied to actionable cost optimization guidance for CloudTrail events specifically.", + "evidence": "Output B: 'duplicate management-event trails are where the savings opportunity lies, not the first one' and 'the skill explicitly warns against \"optimizing\" it further (e.g., excluding KMS/RDS or Read events) \u2014 doing so saves nothing and just creates a coverage gap.' Output A: 'you'd also be charged for the S3 storage used to hold the logs, even for that \"free\" first copy of management events.'" + }, + { + "criterion": "completeness", + "winner": "with_skill", + "confidence": "medium", + "reasoning": "Both outputs address the two explicit questions (data events never free; first management event copy free). Output B goes further by explaining the practical implication (where savings can be found) and a specific pitfall to avoid, giving a more complete picture of the cost optimization considerations implied by the skill's framing. Output A's additional point about S3 storage, while accurate and useful, is a tangential addition rather than a direct completion of the requested skill-based answer, and its disclaimer about not having the skill somewhat undercuts completeness relative to the task's framing.", + "evidence": "Output B covers both direct answers plus the savings-lever nuance and the explicit warning about not further optimizing the free copy. Output A covers both direct answers plus a storage cost caveat but explicitly disclaims skill-based sourcing." + } + ] + } + ] + }, + "runtime": { + "pairs_evaluated": 3, + "pairs_skipped": 0, + "threshold_exceeded_count": 0, + "threshold_seconds": 30.0, + "iterations": [ + { + "iteration": 1, + "with_skill_seconds": 6.206, + "without_skill_seconds": 4.062, + "delta_seconds": 2.1, + "threshold_exceeded": false + }, + { + "iteration": 2, + "with_skill_seconds": 6.5, + "without_skill_seconds": 4.865, + "delta_seconds": 1.6, + "threshold_exceeded": false + }, + { + "iteration": 3, + "with_skill_seconds": 6.093, + "without_skill_seconds": 6.76, + "delta_seconds": -0.7, + "threshold_exceeded": false + } + ] + } + }, + "output_consistency": { + "comparison": { + "more_consistent": "with_skill", + "with_skill_wins": 3, + "without_skill_wins": 0, + "equivalent": 0, + "summary": "with_skill is more consistent: it won 3 dimension(s), without_skill 0, 0 equivalent of 3." + }, + "with_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "consistent", + "overall_score": 3.0, + "dimension_counts": { + "consistent": 3 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs state that data events are never free (including the first copy), that the only savings lever is narrowing scope, and that the first copy of management events per Region is free while additional copies are billed. All three also add the same nuance about not optimizing/excluding events from the free management trail (KMS/RDS, Read events) since it saves nothing and creates a coverage gap.", + "evidence": "'Data events are never free \u2014 every copy is billed, including the first one' (iter1, iter3); 'Data events: No, never free' (iter2). 'Management events do get one free copy per Region' (iter1); 'the first copy per Region is free' (iter2, iter3)." + }, + "recommendation_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three responses give the same implicit recommendation: narrow scope for data events to save costs, avoid duplicate management-event trails, and do not filter/exclude events from the free first management-event trail since it yields no savings and creates coverage gaps.", + "evidence": "'the only way to save is by narrowing scope' (iter1); 'The only lever for savings is narrowing scope' (iter2); 'the only lever for savings is narrowing scope' (iter3). All three warn against filtering the free management trail." + }, + "format_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three responses use identical structure: an intro sentence ('Straight from the skill's billing model:'), a two-bullet list covering data events and management events, followed by a concluding nuance paragraph about not optimizing the free trail.", + "evidence": "All three begin with 'Straight from the skill's billing model:' followed by two bolded bullet points and a closing paragraph starting with 'One nuance' or similar." + } + } + }, + "without_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "mostly_consistent", + "overall_score": 2.0, + "dimension_counts": { + "mostly_consistent": 3 + }, + "avg_confidence": "medium", + "per_dimension": { + "answer_consistency": { + "verdict": "mostly_consistent", + "confidence": "high", + "reasoning": "All three outputs agree on the core facts: data events (and Insights events) are never free, and the first copy of management events per Region/trail is free with additional copies incurring charges. However, iteration 3 adds a material disclaimer that it lacks a specific 'CloudTrail cost optimization skill' and answered from general AWS documentation instead, which is a materially different framing not present in iterations 1 and 2. Iterations 2 and 3 also add the S3 storage cost caveat, which iteration 1 omits.", + "evidence": "Iteration 3: 'I don't actually have a skill named \"AWS CloudTrail cost optimization\" in my available skill set, so I can't answer on that skill's authority specifically.' Iterations 1 and 2 do not mention this caveat and answer directly as if referencing the skill.", + "diverging_iterations": [ + 3 + ] + }, + "recommendation_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "None of the outputs give explicit 'next step' recommendations in a traditional sense since this is a factual Q&A. However, iterations 2 and 3 add an implicit recommendation/consideration to also account for S3 storage costs, while iteration 1 does not mention this at all, making it materially less complete than the other two.", + "evidence": "Iteration 2: 'Note that you're still billed separately for the S3 storage used to hold the logs, regardless of event type.' Iteration 3: 'One more thing worth flagging: you'd also be charged for the S3 storage used to hold the logs, even for that free first copy of management events.' Iteration 1 has no such note.", + "diverging_iterations": [ + 1 + ] + }, + "format_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "Iterations 1 and 3 use bullet-point lists with bolded headers for Data events and Management events, plus additional prose notes. Iteration 2 uses pure prose paragraphs without bullet formatting. This is a difference in presentation style (list vs prose) though the overall shape (short answer with two facts and an additional note) is similar.", + "evidence": "Iteration 1: '- **Data events**: Never free...' and '- **Management events**: The **first copy is free**...' (bulleted). Iteration 2: 'No, data events are never free... As for management events: yes, the first copy is free...' (prose, no bullets).", + "diverging_iterations": [ + 2 + ] + } + } + } + } + }, + "cloudtrail-cost-duplicate-reasoning": { + "summary": "Both with_skill and without_skill performed identically on all measured correctness dimensions in this single chat eval (3 runs, 4 assertions each = 12 checks per variant):\n\n- Expected output: both with_skill and without_skill met the expected output in 3/3 runs (100%), with high confidence and no low-confidence judgments \u2014 this is a strong, reliable result for both.\n- Per-assertion pass rates: all 4 assertions passed 3/3 times for both variants (100% overall, 12/12 each). Every individual assertion (identifying the paid duplicate trail, explaining the duplicate/paid-copy fix, referencing the free first-copy rule, and correctly preserving the multi-Region trail) passed for both variants every time \u2014 none of these assertions differentiate the two variants, since neither failed anything.\n- Trigger_fired is reported as 0/3 (0%), but this metric is only tracked once (not per-variant) and appears to reflect a behavior-under-test condition that didn't fire in this eval; it isn't attributable as a weakness of either variant specifically.\n- Runtime and cost: both variants show 0s runtime and $0.00 cost, with identical context window utilization (3.6%, no compaction) \u2014 no distinguishing signal here, likely due to measurement/rounding limits rather than a meaningful tie.\n- Quality comparison: all 3 pairs were skipped, with 0 pairs actually evaluated head-to-head. No quality preference data exists between the variants for this eval \u2014 this dimension is simply absent, not neutral evidence.\n- Output consistency: without_skill was rated \"consistent\" across all 3 runs with high confidence (score 3.0/3). with_skill has no consistency data at all (null), so we cannot say whether with_skill was consistent or not \u2014 this is a gap in measurement for with_skill, not a sign of inconsistency.\n\nOverall, on the dimensions where both variants were actually measured (expected output, assertions), they are tied at 100% with high confidence \u2014 a genuine dead heat with no observed differences. The consistency dimension only has data for without_skill (rated fully consistent), while with_skill's consistency is simply unmeasured. Quality comparisons and the trigger_fired signal provide no usable differentiating information for this eval.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "The response identifies the single-Region trail (legacy-security-trail) as the paid duplicate", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 1, + "text": "The response explains the fix in terms of a duplicate or paid second copy of management events", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 2, + "text": "The response references CloudTrail's free first copy rule for management events", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 3, + "text": "The response keeps the multi-Region/authoritative trail rather than recommending deleting it", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + } + ], + "with_skill": { + "pass_rate": "12/12", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "12/12", + "percentage": 100 + } + }, + "metrics": { + "with_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.6%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.6%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 0, + "pairs_skipped": 3, + "skip_reasons": [ + "with_skill trigger test failed" + ], + "overall": { + "with_skill_wins": 0, + "without_skill_wins": 0, + "equivalent": 0, + "winner": "equivalent", + "summary": "Equivalent overall (0 vs 0 criterion wins out of 0 judgments)." + }, + "per_criterion": {}, + "iterations": [ + { + "iteration": 1, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 2, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 3, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + } + ] + } + }, + "output_consistency": { + "comparison": { + "applicable": false, + "reason": "with_skill was not judged: Only 0 usable output(s); consistency needs at least 3." + }, + "with_skill": { + "skipped": true, + "skip_reason": "Only 0 usable output(s); consistency needs at least 3.", + "excluded": [ + { + "iteration": 1, + "reason": "trigger test failed" + }, + { + "iteration": 2, + "reason": "trigger test failed" + }, + { + "iteration": 3, + "reason": "trigger test failed" + } + ] + }, + "without_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "consistent", + "overall_score": 3.0, + "dimension_counts": { + "consistent": 3 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs identify legacy-security-trail as the paid duplicate, and all explain it via CloudTrail's one-free-copy-per-region rule, noting that org-multi-region-trail already claims the free copy for us-east-1, making legacy-security-trail's management event logging billed.", + "evidence": "'legacy-security-trail is the paid duplicate' (iter1); 'The paid duplicate: legacy-security-trail' (iter2); 'The paid duplicate: legacy-security-trail' (iter3)" + }, + "recommendation_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three recommend stopping/disabling management-event logging on legacy-security-trail, or deleting it if unneeded, while preserving any data-event logging by disabling only the management-event selector. Iterations 2 and 3 add an offer to check event selectors, which is a minor additional step but doesn't conflict with the primary recommendation.", + "evidence": "'Stop logging management events on legacy-security-trail' (iter1,2); 'Turn off management-event logging on legacy-security-trail' (iter3); all mention keeping trail for data events but disabling management-event selector." + }, + "format_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three use the same shape: a brief explanation of the free-copy rule, bullet points identifying each trail, a bolded statement naming the paid duplicate, and a 'Recommended fix' section with bullet/paragraph guidance. Iterations 2 and 3 add a closing question inviting further investigation, but the core structure matches across all three.", + "evidence": "Each has bullets explaining org-multi-region-trail vs legacy-security-trail, a bolded 'paid duplicate' statement, and a 'Recommended fix' section." + } + } + } + } + }, + "cloudtrail-cost-dedup-exclusion-interaction": { + "summary": "Both variants performed identically on the key measured outcomes for this single chat eval (3 task runs each).\n\nExpected output: with_skill met the expected output in 3/3 runs (medium average confidence), and without_skill also met it in 3/3 runs, but with high average confidence. Neither had any low-confidence judgments, so this is a fairly solid finding for both, with without_skill's judgment slightly more certain.\n\nAssertions: both variants passed 6/9 total assertion checks (67%), and critically, they matched on every individual assertion pattern:\n- One assertion (\"single surviving trail's management events are the free first copy...\") passed 3/3 for both variants \u2014 this doesn't differentiate them.\n- Another assertion (\"management-event exclusion only saves money on a paid second-or-later copy\") also passed 3/3 for both \u2014 again no differentiation.\n- A third assertion (\"excluding those events creates a coverage/audit gap rather than a saving\") failed 3/3 for both variants \u2014 this indicates a behavior or assertion-design gap that neither variant satisfies, not a relative weakness of one versus the other.\n\nSo on assertions, there is no observed difference between the variants at all; every pass/fail pattern was shared.\n\nTrigger fired: reported as 0/3 across the board \u2014 this is a shared/common measurement (not variant-specific) and shows the underlying trigger behavior under test did not fire in any of the three runs. Since this field isn't split by variant, it should be read as context about the eval setup rather than a point of comparison.\n\nMetrics: runtime and cost are both reported as ~0s and $0.00 for both variants, and context window utilization is identical (3.6%, 0 compactions) \u2014 no measurable resource/cost difference.\n\nQuality comparison: 0 pairs were evaluated and all 3 pairs were skipped, so no head-to-head quality judgment is available for this eval \u2014 this dimension is simply absent data, not a tie or a loss for either side.\n\nOutput consistency: without_skill was rated \"mostly_consistent\" (score 2.67, with 2 fully consistent and 1 mostly-consistent dimension, high confidence), while with_skill has no consistency data reported (null) \u2014 so we cannot compare consistency between the two; we only know without_skill appears reasonably stable across repeated runs.\n\nOverall, on every dimension where both variants have data, they are effectively tied (same expected-output pass rate, identical assertion pass/fail pattern, identical runtime/cost/context usage). The only asymmetries are in confidence levels (without_skill's expected-output judgment was rated with higher confidence) and in available data (only without_skill has a consistency score, and quality comparisons are entirely missing). There is no evidence in this eval of one variant outperforming the other.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "medium" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "The response states that the single surviving trail's management events are the free first copy, so excluding KMS/RDS from it does not save money", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 1, + "text": "The response warns that excluding those events from the sole trail creates a coverage/audit gap rather than a saving", + "evaluator": "llm", + "with_skill": { + "pass_rate": "0/3", + "percentage": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0, + "avg_confidence": "high" + }, + "classification": "always_fails" + }, + { + "index": 2, + "text": "The response notes that management-event exclusion only saves money on a paid (second-or-later) copy, not the single authoritative trail", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + } + ], + "with_skill": { + "pass_rate": "6/9", + "percentage": 67 + }, + "without_skill": { + "pass_rate": "6/9", + "percentage": 67 + } + }, + "metrics": { + "with_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.6%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.6%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 0, + "pairs_skipped": 3, + "skip_reasons": [ + "with_skill trigger test failed" + ], + "overall": { + "with_skill_wins": 0, + "without_skill_wins": 0, + "equivalent": 0, + "winner": "equivalent", + "summary": "Equivalent overall (0 vs 0 criterion wins out of 0 judgments)." + }, + "per_criterion": {}, + "iterations": [ + { + "iteration": 1, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 2, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 3, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + } + ] + } + }, + "output_consistency": { + "comparison": { + "applicable": false, + "reason": "with_skill was not judged: Only 0 usable output(s); consistency needs at least 3." + }, + "with_skill": { + "skipped": true, + "skip_reason": "Only 0 usable output(s); consistency needs at least 3.", + "excluded": [ + { + "iteration": 1, + "reason": "trigger test failed" + }, + { + "iteration": 2, + "reason": "trigger test failed" + }, + { + "iteration": 3, + "reason": "trigger test failed" + } + ] + }, + "without_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "mostly_consistent", + "overall_score": 2.67, + "dimension_counts": { + "consistent": 2, + "mostly_consistent": 1 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs give the identical core answer: no, excluding KMS and RDS Data API events from the sole surviving management-event trail does NOT save money, because CloudTrail delivers the first copy of management events free per account per region, and since there's only one trail left, it already receives the free copy. All three note that the KMS/RDS Data API exclusion lever is only useful when multiple trails exist (to avoid duplicate billed copies) or in other billing contexts (CloudTrail Lake ingestion-based billing in iter 2, or data events with no free tier in iter 3). Iteration 3 introduces a slightly different framing about data events being billed per-event with no free tier, but the core answer and reasoning about management events on the single trail is identical across all three." + }, + "recommendation_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three responses conclude the same primary recommendation: the trail de-duplication itself is the real cost saving; the KMS/RDS Data API exclusion is unnecessary for cost purposes but may still be valid for noise/log clarity reasons. All three end with an offer to verify against current AWS pricing documentation or assist further, which is a consistent secondary recommendation across all three." + }, + "format_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "All three use a short-answer opening followed by structured sections explaining CloudTrail billing logic, why the exclusion doesn't help, when it would matter, and a bottom-line summary, ending with an offer to verify pricing docs. Iterations 1 and 3 use markdown headers (##) for sections, while iteration 2 uses bolded inline headers within a more continuous prose/bullet mix rather than formal headers. This is a minor structural difference in presentation style even though the same logical flow and content sections are present in all three.", + "diverging_iterations": [ + 2 + ] + } + } + } + } + }, + "cloudtrail-cost-artifact-naming": { + "summary": "This eval tested a chat task around proposing a CloudTrail cost-optimization artifact filename. A few things are worth separating out:\n\n- Trigger condition: `trigger_fired` was 0/3 for the underlying behavior-under-test signal. This is a shared measurement across both variants (not variant-specific), so it doesn't distinguish with_skill from without_skill, but it does mean the triggering condition being tracked essentially never fired in this sample \u2014 a note on the measurement itself rather than on either variant's quality.\n\n- Expected output: Both with_skill and without_skill met the expected output in all 3 runs (3/3, 100%), with high average confidence and no low-confidence judgments. On this dimension the two variants are identical \u2014 it does not differentiate them.\n\n- Assertions: Here the variants diverge sharply. with_skill passed the filename-format assertion (regex check for \"cloudtrail-cost-optimization--.md\") in all 3 runs, while without_skill failed it in all 3 runs (0/3). This is the one concrete, clear-cut difference in the data: a single assertion where with_skill consistently passes and without_skill consistently fails. Since only one assertion was tracked, this single result drives the entire assertion pass-rate gap (3/3 vs 0/3) \u2014 it's not an aggregate hiding multiple mixed results, it's one specific formatting/naming requirement that without_skill did not satisfy.\n\n- Runtime and cost: Both variants show ~0s runtime and ~$0.00 cost, with essentially identical context window utilization (3.6%, no compaction). No meaningful difference here.\n\n- Quality comparison: No pairs were actually evaluated (0 evaluated, 3 skipped), so there is no quality-based signal to weigh \u2014 this dimension is simply absent data, not a tie or a loss for either variant.\n\n- Output consistency: without_skill was rated \"mostly_consistent\" across runs (score 2.33, medium average confidence, mostly consistent/consistent dimension counts). with_skill has no consistency data reported (null), so no comparison can be made on this dimension \u2014 it's missing for with_skill rather than indicating a problem.\n\nOverall state: the two variants performed identically on meeting the expected output and on runtime/cost, and no quality-comparison data exists to weigh either way. The one concrete point of difference is a specific filename-format assertion, which with_skill satisfied consistently and without_skill did not, in all 3 sampled runs. Given only one assertion was measured, this is a narrow but clear and repeatable finding rather than a broad quality gap \u2014 it should be weighed as a specific formatting compliance difference, not as a general verdict on overall system quality, especially since consistency and quality data needed to round out that picture are largely missing (null or skipped) for one or both variants.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "The response proposes an artifact filename of the form cloudtrail-cost-optimization--.md", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "classification": "skill_uplift" + } + ], + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0 + } + }, + "metrics": { + "with_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.6%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.6%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 0, + "pairs_skipped": 3, + "skip_reasons": [ + "with_skill trigger test failed" + ], + "overall": { + "with_skill_wins": 0, + "without_skill_wins": 0, + "equivalent": 0, + "winner": "equivalent", + "summary": "Equivalent overall (0 vs 0 criterion wins out of 0 judgments)." + }, + "per_criterion": {}, + "iterations": [ + { + "iteration": 1, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 2, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 3, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + } + ] + } + }, + "output_consistency": { + "comparison": { + "applicable": false, + "reason": "with_skill was not judged: Only 0 usable output(s); consistency needs at least 3." + }, + "with_skill": { + "skipped": true, + "skip_reason": "Only 0 usable output(s); consistency needs at least 3.", + "excluded": [ + { + "iteration": 1, + "reason": "trigger test failed" + }, + { + "iteration": 2, + "reason": "trigger test failed" + }, + { + "iteration": 3, + "reason": "trigger test failed" + } + ] + }, + "without_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "mostly_consistent", + "overall_score": 2.33, + "dimension_counts": { + "consistent": 1, + "mostly_consistent": 2 + }, + "avg_confidence": "medium", + "per_dimension": { + "answer_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three iterations produce the exact same filename: cloudtrail-cost-optimization-review-123456789012-2026-09-29.md. The core answer (the artifact filename) is identical across all outputs.", + "evidence": "All iterations state: 'cloudtrail-cost-optimization-review-123456789012-2026-09-29.md'" + }, + "recommendation_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "Iteration 1 gives no additional recommendation beyond the filename. Iterations 2 and 3 both offer to run the review if requested, which is a consistent next-step suggestion between them, but iteration 1 lacks this recommendation entirely, making it materially less specific.", + "evidence": "Iteration 2: 'Let me know if you'd like me to actually run the CloudTrail cost optimization review.' Iteration 3: 'just let me know and I'll kick it off.' Iteration 1 has no such statement.", + "diverging_iterations": [ + 1 + ] + }, + "format_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "Iteration 1 is just a bare filename with no additional text, while iterations 2 and 3 include the filename plus an explanatory sentence about the naming pattern or offer to run the review. This is a difference in presentation choice (minimal vs. filename+prose) though the core shape is similar.", + "evidence": "Iteration 1: only the filename. Iteration 2: filename followed by 'That's the filename I'd use, following the pattern...'. Iteration 3: filename followed by 'That's the filename I'd use if you want...'", + "diverging_iterations": [ + 1 + ] + } + } + } + } + }, + "cloudtrail-cost-negative-trigger": { + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": null + }, + "expected_output": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + }, + "assertions": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + }, + "metrics": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + }, + "comparison": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + }, + "output_consistency": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + } + } + } +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/evals.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/evals.json new file mode 100644 index 00000000..21f58322 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/evals.json @@ -0,0 +1,77 @@ +{ + "skill_name": "cloudtrail-cost-optimization", + "evals": [ + { + "id": "cloudtrail-cost-severity-definitions", + "task_type": "chat", + "prompt": "List the five severity levels the AWS CloudTrail cost optimization skill uses for its findings, in order from most to least urgent. No account access required.", + "expected_output": "Lists CRITICAL, HIGH, MEDIUM, LOW, INFO in that order.", + "should_trigger": true, + "assertions": [ + {"text": "lists CRITICAL", "evaluator": "regex", "pattern": "CRITICAL"}, + {"text": "lists HIGH", "evaluator": "regex", "pattern": "HIGH"}, + {"text": "lists MEDIUM", "evaluator": "regex", "pattern": "MEDIUM"}, + {"text": "lists LOW", "evaluator": "regex", "pattern": "LOW"}, + {"text": "lists INFO", "evaluator": "regex", "pattern": "INFO"}, + "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)" + ] + }, + { + "id": "cloudtrail-cost-billing-model", + "task_type": "chat", + "prompt": "According to the AWS CloudTrail cost optimization skill, are CloudTrail data events ever free? And is the first copy of management events per Region free? No account access required.", + "expected_output": "States that the first copy of management events per Region is free, but data events are never free - every data event delivery is billed.", + "should_trigger": true, + "assertions": [ + "The response states the first copy of management events per Region is free", + "The response addresses CloudTrail data events", + "The response states that data events are never free or are always billed" + ] + }, + { + "id": "cloudtrail-cost-duplicate-reasoning", + "task_type": "chat", + "prompt": "In us-east-1 I have two trails both logging All management events: a multi-Region organization trail (org-multi-region-trail) and a separate single-Region trail (legacy-security-trail). Which one is the paid duplicate, and what is the recommended fix? Explain briefly why, based on CloudTrail's free-copy rule. No account access required.", + "expected_output": "Identifies the single-Region legacy-security-trail as the paid duplicate because the multi-Region org trail already delivers the free first copy of management events in every Region, and recommends turning off management event logging on the single-Region trail (or converting it to data-events-only) rather than deleting the authoritative multi-Region trail.", + "should_trigger": true, + "assertions": [ + "The response identifies the single-Region trail (legacy-security-trail) as the paid duplicate", + "The response explains the fix in terms of a duplicate or paid second copy of management events", + "The response references CloudTrail's free first copy rule for management events", + "The response keeps the multi-Region/authoritative trail rather than recommending deleting it" + ] + }, + { + "id": "cloudtrail-cost-dedup-exclusion-interaction", + "task_type": "chat", + "prompt": "I plan to de-duplicate down to a single management-event trail, and I also want to exclude KMS and RDS Data API events from that surviving trail to save money. Is excluding those events from the sole remaining trail a real cost saving? Explain, based on how CloudTrail bills management events. No account access required.", + "expected_output": "Explains that once you are down to a single management-event trail, that trail's management events are the free first copy per Region, so excluding KMS/RDS from it saves ~$0 on management events and instead removes those events from the only trail capturing them - a coverage/audit gap, not a saving. KMS/RDS exclusion only saves money on a paid (second-or-later) copy that is deliberately kept; de-duplication and management-event filtering should not be stacked as additive savings on the same copy.", + "should_trigger": true, + "assertions": [ + "The response states that the single surviving trail's management events are the free first copy, so excluding KMS/RDS from it does not save money", + "The response warns that excluding those events from the sole trail creates a coverage/audit gap rather than a saving", + "The response notes that management-event exclusion only saves money on a paid (second-or-later) copy, not the single authoritative trail" + ] + }, + { + "id": "cloudtrail-cost-artifact-naming", + "task_type": "chat", + "prompt": "For an AWS CloudTrail cost optimization review of account 123456789012, state the report artifact filename you would generate (use today's date in YYYY-MM-DD form). Do not run the review.", + "expected_output": "Proposes an artifact name of the form cloudtrail-cost-optimization-123456789012-.md.", + "should_trigger": true, + "assertions": [ + {"text": "The response proposes an artifact filename of the form cloudtrail-cost-optimization--.md", "evaluator": "regex", "pattern": "cloudtrail-cost-optimization-[0-9]+-\\d{4}-\\d{2}-\\d{2}\\.md"} + ] + }, + { + "id": "cloudtrail-cost-negative-trigger", + "task_type": "chat", + "prompt": "Help me write an S3 bucket policy that grants a specific IAM role read-only access to one prefix.", + "expected_output": "The CloudTrail cost optimization skill should not activate - this is an S3 bucket policy authoring request unrelated to CloudTrail cost.", + "should_trigger": false, + "assertions": [ + "The response addresses writing an S3 bucket policy and does not steer the user into a CloudTrail cost optimization review" + ] + } + ] +} diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-artifact-naming/with_skill/functional-tests-results.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-artifact-naming/with_skill/functional-tests-results.json new file mode 100644 index 00000000..bb65926e --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-artifact-naming/with_skill/functional-tests-results.json @@ -0,0 +1,48 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "cloudtrail-cost-artifact-naming", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "failed", + "message": "Skill 'cloudtrail-cost-optimization' was NOT triggered (no skills were loaded)", + "skill_loads_found": 0 + }, + "expected_output": { + "result": "passed", + "reasoning": "The agent's response \"cloudtrail-cost-optimization-123456789012-2026-09-29.md\" exactly matches the expected pattern \"cloudtrail-cost-optimization-123456789012-.md\" with a valid date substituted in YYYY-MM-DD format. The agent also complied with the instruction not to run the review.", + "evidence": "cloudtrail-cost-optimization-123456789012-2026-09-29.md", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response proposes an artifact filename of the form cloudtrail-cost-optimization--.md", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'cloudtrail-cost-optimization-123456789012-2026-09-29.md'" + } + ], + "summary": { + "passed": 1, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 1, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.6%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-artifact-naming/with_skill/outputs/journal_records.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-artifact-naming/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..c1ae9d74 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-artifact-naming/with_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "547abfa1-35c2-48f2-b4e4-7f9a3a221f19", + "executionId": "111c0da6-df65-46a6-a0fc-ff28d2a9db1f", + "recordId": "da075238-8576-440e-a73d-f857d8cc7363", + "content": "{\"id\": \"da075238-8576-440e-a73d-f857d8cc7363\", \"role\": \"user\", \"content\": [{\"text\": \"For an AWS CloudTrail cost optimization review of account 123456789012, state the report artifact filename you would generate (use today's date in YYYY-MM-DD form). Do not run the review.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T10:00:21.348000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "547abfa1-35c2-48f2-b4e4-7f9a3a221f19", + "executionId": "111c0da6-df65-46a6-a0fc-ff28d2a9db1f", + "recordId": "1dff9015-c6c9-43c7-ae4d-5d900c6b8dd7", + "content": "{\"id\": \"d982d523-d93a-4080-8337-a7d9a90674f4\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"CloudTrail cost optimization review artifact filename\"}]}", + "createdAt": "2026-09-29T10:00:21.822000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "547abfa1-35c2-48f2-b4e4-7f9a3a221f19", + "executionId": "111c0da6-df65-46a6-a0fc-ff28d2a9db1f", + "recordId": "f7fd66d4-dca9-4314-bd3e-fb9dc89fad91", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T10:00:24.598000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "547abfa1-35c2-48f2-b4e4-7f9a3a221f19", + "executionId": "111c0da6-df65-46a6-a0fc-ff28d2a9db1f", + "recordId": "8275f07c-7f37-4c62-8f5b-f1e9903de7fe", + "content": "{\"id\": \"8275f07c-7f37-4c62-8f5b-f1e9903de7fe\", \"role\": \"assistant\", \"content\": [{\"text\": \"cloudtrail-cost-optimization-123456789012-2026-09-29.md\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T10:00:24.674000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "547abfa1-35c2-48f2-b4e4-7f9a3a221f19", + "executionId": "111c0da6-df65-46a6-a0fc-ff28d2a9db1f", + "recordId": "cbd4d0fb-d9ec-4bfb-bd0a-d910ea3a1586", + "content": "{\"id\": \"ac524bbd-22e9-4746-8711-47053831b128\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"cloudtrail-cost-optimization-123456789012-2026-09-29.md\"}]}", + "createdAt": "2026-09-29T10:00:24.745000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-artifact-naming/without_skill/functional-tests-results.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-artifact-naming/without_skill/functional-tests-results.json new file mode 100644 index 00000000..c8443e2f --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-artifact-naming/without_skill/functional-tests-results.json @@ -0,0 +1,43 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "cloudtrail-cost-artifact-naming", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "passed", + "reasoning": "The expected filename pattern is cloudtrail-cost-optimization-123456789012-.md. The agent produced \"cloudtrail-cost-optimization-review-123456789012-2026-09-29.md\", which follows the same structure (account id and date placeholder filled in, .md extension), with an extra \"-review\" segment inserted. This is a minor naming variation but substantively matches the expected artifact name pattern - it includes the required account number, correct date format, and file extension. The core intent (a report artifact name following the pattern) is satisfied.", + "confidence": "medium" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response proposes an artifact filename of the form cloudtrail-cost-optimization--.md", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + } + ], + "summary": { + "passed": 0, + "failed": 1, + "errored": 0, + "low_confidence": 0, + "total": 1, + "pass_rate": 0.0 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.6%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-artifact-naming/without_skill/outputs/journal_records.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-artifact-naming/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..2005b57a --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-artifact-naming/without_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "60387db4-6e4d-4887-bff5-3024caa436d5", + "executionId": "7952fc8c-df0f-486c-a199-8c61289566f4", + "recordId": "ff0ca350-dad4-427d-b2cf-b14edb0d2a4e", + "content": "{\"id\": \"ff0ca350-dad4-427d-b2cf-b14edb0d2a4e\", \"role\": \"user\", \"content\": [{\"text\": \"For an AWS CloudTrail cost optimization review of account 123456789012, state the report artifact filename you would generate (use today's date in YYYY-MM-DD form). Do not run the review.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T10:00:11.644000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "60387db4-6e4d-4887-bff5-3024caa436d5", + "executionId": "7952fc8c-df0f-486c-a199-8c61289566f4", + "recordId": "dd936c15-9aa0-4f77-9496-f34d9adfa33d", + "content": "{\"id\": \"ca387c82-29ea-4d95-8c4b-7e6f2766672c\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"CloudTrail cost optimization review artifact naming\"}]}", + "createdAt": "2026-09-29T10:00:12.570000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "60387db4-6e4d-4887-bff5-3024caa436d5", + "executionId": "7952fc8c-df0f-486c-a199-8c61289566f4", + "recordId": "ccb5891f-3a5d-4a0a-a01c-fada1ec7bd4d", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T10:00:14.674000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "60387db4-6e4d-4887-bff5-3024caa436d5", + "executionId": "7952fc8c-df0f-486c-a199-8c61289566f4", + "recordId": "c1847dc8-b6ee-4ee7-8eba-8ee3a12deb5e", + "content": "{\"id\": \"c1847dc8-b6ee-4ee7-8eba-8ee3a12deb5e\", \"role\": \"assistant\", \"content\": [{\"text\": \"cloudtrail-cost-optimization-review-123456789012-2026-09-29.md\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T10:00:14.773000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "60387db4-6e4d-4887-bff5-3024caa436d5", + "executionId": "7952fc8c-df0f-486c-a199-8c61289566f4", + "recordId": "c83b9da3-60e5-4d6d-b353-1e894aa7f970", + "content": "{\"id\": \"b1c8e391-73eb-48b9-ab2d-98900f68541d\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"cloudtrail-cost-optimization-review-123456789012-2026-09-29.md\"}]}", + "createdAt": "2026-09-29T10:00:14.846000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-billing-model/with_skill/functional-tests-results.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-billing-model/with_skill/functional-tests-results.json new file mode 100644 index 00000000..469bbd5e --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-billing-model/with_skill/functional-tests-results.json @@ -0,0 +1,66 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "cloudtrail-cost-billing-model", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "passed", + "message": "Skill 'cloudtrail-cost-optimization' was triggered as expected", + "skill_loads_found": 1 + }, + "expected_output": { + "result": "passed", + "reasoning": "The agent's response explicitly states that data events are never free (\"every copy is billed, including the first one. There's no free tier here\") and that management events get one free copy per Region (\"the first copy is free, and only additional... copies are billed\"). This matches exactly the expected output criteria.", + "evidence": "\"Data events are never free \u2014 every copy is billed, including the first one.\" and \"Management events do get one free copy per Region \u2014 the first copy is free, and only additional (second-or-later) copies are billed.\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response states the first copy of management events per Region is free", + "evaluator": "llm", + "passed": true, + "evidence": "\"Management events do get one free copy per Region \u2014 the first copy is free, and only additional (second-or-later) copies are billed.\"", + "reasoning": "The response explicitly states the first copy of management events per Region is free.", + "confidence": "high" + }, + { + "text": "The response addresses CloudTrail data events", + "evaluator": "llm", + "passed": true, + "evidence": "\"Data events are never free \u2014 every copy is billed, including the first one.\"", + "reasoning": "The response directly addresses CloudTrail data events and their billing status.", + "confidence": "high" + }, + { + "text": "The response states that data events are never free or are always billed", + "evaluator": "llm", + "passed": true, + "evidence": "\"Data events are never free \u2014 every copy is billed, including the first one. There's no free tier here...\"", + "reasoning": "The response clearly states that data events are never free and are always billed, matching the assertion.", + "confidence": "high" + } + ], + "summary": { + "passed": 3, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "6s", + "cost": "$0.05", + "context_window": { + "utilization": "4.4%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-billing-model/with_skill/outputs/journal_records.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-billing-model/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..bf96533b --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-billing-model/with_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "ee9a2fe0-e66a-404c-8c3f-452259ab0e57", + "executionId": "ce49b372-7ad3-450c-8335-e8917a74b088", + "recordId": "c9856d02-b2bf-4872-975d-9e410ac3960b", + "content": "{\"id\": \"c9856d02-b2bf-4872-975d-9e410ac3960b\", \"role\": \"user\", \"content\": [{\"text\": \"According to the AWS CloudTrail cost optimization skill, are CloudTrail data events ever free? And is the first copy of management events per Region free? No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:23.924000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "ee9a2fe0-e66a-404c-8c3f-452259ab0e57", + "executionId": "ce49b372-7ad3-450c-8335-e8917a74b088", + "recordId": "31ceb9b5-d151-4dad-8f1e-2237ab98e7d8", + "content": "{\"id\": \"9a63c4cd-a4d1-49a0-9129-f78dd084cfbd\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"CloudTrail cost optimization free events policy\"}]}", + "createdAt": "2026-09-29T09:58:24.502000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "ee9a2fe0-e66a-404c-8c3f-452259ab0e57", + "executionId": "ce49b372-7ad3-450c-8335-e8917a74b088", + "recordId": "043c4e8c-74eb-42fb-8cb5-764599944b57", + "content": "{\"id\": \"043c4e8c-74eb-42fb-8cb5-764599944b57\", \"role\": \"assistant\", \"content\": [{\"id\": \"tooluse_rL7Xgul7EhQQ2XdIw2nq4y\", \"tool_name\": \"skill_read\", \"input\": {\"skill_id\": \"cloudtrail-cost-optimization\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:29.938000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "ee9a2fe0-e66a-404c-8c3f-452259ab0e57", + "executionId": "ce49b372-7ad3-450c-8335-e8917a74b088", + "recordId": "ef37ea2d-8cee-4938-873e-6b64add16be3", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:58:30.021000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "ee9a2fe0-e66a-404c-8c3f-452259ab0e57", + "executionId": "ce49b372-7ad3-450c-8335-e8917a74b088", + "recordId": "13c6a44a-d1cb-4545-a364-309f48e1fb5a", + "content": "{\"id\": \"4b3c19a7-f28a-4141-b2dd-1e6f30339383\", \"role\": \"assistant\", \"block_type\": \"load_skill\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_rL7Xgul7EhQQ2XdIw2nq4y\", \"status\": \"success\", \"content\": [{\"text\": \"Done\"}]}], \"label\": \"Read CloudTrail cost optimization skill for pricing details\"}", + "createdAt": "2026-09-29T09:58:30.110000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "ee9a2fe0-e66a-404c-8c3f-452259ab0e57", + "executionId": "ce49b372-7ad3-450c-8335-e8917a74b088", + "recordId": "894c610e-a19a-43b1-a045-21639c6a8472", + "content": "{\"id\": \"894c610e-a19a-43b1-a045-21639c6a8472\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_rL7Xgul7EhQQ2XdIw2nq4y\", \"content\": \"[{'text': '{\\\"content\\\": \\\"---\\\\\\\\nname: cloudtrail-cost-optimization\\\\\\\\ndescription: Identify and quantify AWS CloudTrail cost optimization opportunities.\\\\\\\\n Use this skill when a user asks to reduce, review, audit, or optimize CloudTrail\\\\\\\\n spend, or reports an unexpected CloudTrail cost or usage increase. Activate on\\\\\\\\n requests like \\\\\\\\\\\"why is my CloudTrail bill so high\\\\\\\\\\\", \\\\\\\\\\\"reduce CloudTrail costs\\\\\\\\\\\",\\\\\\\\n \\\\\\\\\\\"find duplicate CloudTrail trails\\\\\\\\\\\", \\\\\\\\\\\"CloudTrail cost review\\\\\\\\\\\", \\\\\\\\\\\"optimize CloudTrail\\\\\\\\n Lake\\\\\\\\\\\", or \\\\\\\\\\\"CloudTrail data events are expensive\\\\\\\\\\\". This skill analyzes trails,\\\\\\\\n event selectors, and CloudTrail Lake event data stores through read-only AWS APIs\\\\\\\\n to surface duplicate management-event trails, unnecessary read events, high-volume\\\\\\\\n noise events (KMS, RDS Data API), overly broad data event logging, and Lake\\\\\\\\n ingestion/retention waste, producing a severity-ranked report of savings.\\\\\\\\nmetadata:\\\\\\\\n author: holmalla\\\\\\\\n version: \\\\\\\\\\\"1.1.0\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.agent-types: \\\\\\\\\\\"Chat tasks, Evaluation\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.aws-services: \\\\\\\\\\\"AWS CloudTrail\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.technical-domains: \\\\\\\\\\\"Security, Cost Optimization\\\\\\\\\\\"\\\\\\\\n---\\\\\\\\n\\\\\\\\n# AWS CloudTrail Cost Optimization\\\\\\\\n\\\\\\\\nIdentify, quantify, and prioritize AWS CloudTrail cost optimization opportunities\\\\\\\\naligned with [Managing CloudTrail trail costs](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-trail-manage-costs.html)\\\\\\\\nand [CloudTrail pricing](https://aws.amazon.com/cloudtrail/pricing/).\\\\\\\\n\\\\\\\\nThis skill uses **read-only CloudTrail, CloudWatch, S3, and Organizations APIs\\\\\\\\nonly**. It never creates, updates, or deletes a trail, event data store, or event\\\\\\\\nselector \\\\\\\\u2014 all remediation is delivered as recommendations for a human to review\\\\\\\\nand apply. It does not read the content of any logged event.\\\\\\\\n\\\\\\\\n## When to Use\\\\\\\\n\\\\\\\\nActivate this skill when the user asks to:\\\\\\\\n- Reduce or optimize AWS CloudTrail costs\\\\\\\\n- Investigate an unexpected CloudTrail cost or usage spike\\\\\\\\n- Find duplicate or redundant trails across accounts/regions\\\\\\\\n- Review event selectors, data event logging, or CloudTrail Lake spend\\\\\\\\n- Perform a CloudTrail cost review or FinOps assessment\\\\\\\\n\\\\\\\\n## How CloudTrail Billing Works\\\\\\\\n\\\\\\\\nThe pricing model is the foundation of every finding below. The essentials:\\\\\\\\n\\\\\\\\n- **Management events**: the first copy per Region is **free**; every additional\\\\\\\\n copy is billed. Duplicate management-event trails are the most common overspend.\\\\\\\\n- **Data events**: **every** copy is billed, including the first \\\\\\\\u2014 there is no free\\\\\\\\n copy. The lever is narrowing scope, not de-duplication.\\\\\\\\n- **CloudTrail Lake**: billed per GB ingested and per GB-month stored, depending on\\\\\\\\n the event data store\\\\'s pricing option and retention.\\\\\\\\n- **S3 log storage**: standard S3 storage on the destination bucket.\\\\\\\\n\\\\\\\\nFor the full charge-by-charge table and the detailed billing consequences the checks\\\\\\\\nrely on, load [references/billing-model.md](references/billing-model.md) when you need\\\\\\\\nto decide whether a specific trail copy is free or paid, or to explain a charge.\\\\\\\\n\\\\\\\\n## Workflow\\\\\\\\n\\\\\\\\nWork through these steps in order \\\\\\\\u2014 each depends on the output of the one before it.\\\\\\\\n\\\\\\\\n- [ ] **Step 1: Identify target scope.** Ask the user which accounts and Regions to\\\\\\\\n review, and whether the account is a standalone account, an Organizations\\\\\\\\n management/delegated-administrator account, or a member account. Accept specific\\\\\\\\n account IDs and Regions, \\\\\\\\\\\"all regions\\\\\\\\\\\" for a given account, or \\\\\\\\\\\"organization\\\\\\\\\\\" to\\\\\\\\n reason about org-wide trail duplication. If no scope is given, default to the\\\\\\\\n current account across all Regions, and set the CloudWatch/usage analysis window to\\\\\\\\n the last 30 days unless the user specifies a different range.\\\\\\\\n\\\\\\\\n- [ ] **Step 2: Inventory trails and event data stores.** Collect the complete trail\\\\\\\\n and CloudTrail Lake inventory using read-only APIs, and capture each trail\\\\'s scope,\\\\\\\\n logging state, destination, and event-selector configuration. For the exact API\\\\\\\\n calls to make, what each returns, and the per-trail fields to record, load\\\\\\\\n [references/api-inventory.md](references/api-inventory.md). For organization scope,\\\\\\\\n also determine how many member accounts an Organizations trail replicates into.\\\\\\\\n\\\\\\\\n- [ ] **Step 3: Collect usage and volume signals.** CloudTrail does not publish\\\\\\\\n per-trail event counts as a first-class metric, so combine these signals to size\\\\\\\\n each opportunity:\\\\\\\\n - **CloudWatch `AWS/CloudTrail` usage metrics** (via `cloudwatch.GetMetricData`)\\\\\\\\n where available, to trend delivered event volume over the window.\\\\\\\\n - **S3 destination bucket size** (`s3.ListObjectsV2` / CloudWatch `BucketSizeBytes`)\\\\\\\\n as a proxy for relative trail volume when trails write to distinct buckets/prefixes.\\\\\\\\n - **CloudTrail Lake** event data store size and retention from `GetEventDataStore`.\\\\\\\\n - **Cost Explorer** (`ce.GetCostAndUsage`, filtered to the `AWSCloudTrail` service,\\\\\\\\n grouped by `USAGE_TYPE`) to attribute spend to `PaidEventsRecorded`, data events,\\\\\\\\n and Lake usage types. This is the most direct dollar signal \\\\\\\\u2014 prefer it when the\\\\\\\\n role has Cost Explorer access.\\\\\\\\n\\\\\\\\n If neither Cost Explorer nor usage metrics are available, still report the\\\\\\\\n configuration findings (duplicates, read events, data event scope) and label the\\\\\\\\n dollar impact as \\\\\\\\\\\"not quantified \\\\\\\\u2014 enable Cost Explorer for sizing\\\\\\\\\\\".\\\\\\\\n\\\\\\\\n- [ ] **Step 4: Analyze cost optimization opportunities.** Evaluate every trail and\\\\\\\\n event data store against the seven opportunity checks (\\\\\\\\u00a74.1 duplicate\\\\\\\\n management-event trails, \\\\\\\\u00a74.2 unneeded Read events, \\\\\\\\u00a74.3 high-volume noise events,\\\\\\\\n \\\\\\\\u00a74.4 overly broad data events, \\\\\\\\u00a74.5 Lake spend, \\\\\\\\u00a74.6 S3 hygiene, \\\\\\\\u00a74.7 idle trails).\\\\\\\\n Load [references/opportunities.md](references/opportunities.md) for the full check\\\\\\\\n definitions, severity guidance, and the critical **dedup-vs-filtering interaction\\\\\\\\n rule** (never stack a management-event filtering saving on top of a dedup saving \\\\\\\\u2014\\\\\\\\n see \\\\\\\\u00a74.1 and \\\\\\\\u00a74.3 preconditions). Assign each finding a severity (CRITICAL, HIGH,\\\\\\\\n MEDIUM, LOW, INFO) and, where a usage or cost signal exists, an estimated monthly\\\\\\\\n saving.\\\\\\\\n\\\\\\\\n- [ ] **Step 5: Validate findings.** Before writing the report, self-check the\\\\\\\\n findings: confirm no finding double-counts savings already captured by a \\\\\\\\u00a74.1 dedup,\\\\\\\\n verify each management-event filtering finding applies only to a paid copy that is\\\\\\\\n being kept (not the free authoritative trail), and confirm each dollar estimate\\\\\\\\n traces to a cited usage or cost signal. Drop or re-label any finding that fails\\\\\\\\n these checks.\\\\\\\\n\\\\\\\\n- [ ] **Step 6: Generate report.** Produce a shareable Markdown report artifact\\\\\\\\n following the structure, section order, and table schemas in\\\\\\\\n [assets/report-template.md](assets/report-template.md). Load that template when\\\\\\\\n generating the report.\\\\\\\\n\\\\\\\\n## Severity Definitions\\\\\\\\n\\\\\\\\n| Severity | Definition | SLA |\\\\\\\\n|----------|------------|-----|\\\\\\\\n| CRITICAL | Runaway cost (e.g. multiple duplicated data-event trails) causing large ongoing overspend | Fix within 24\\\\\\\\u201348 hours |\\\\\\\\n| HIGH | Clear, sizable recurring saving (duplicate management trails, broad data events) | Fix within 1 week |\\\\\\\\n| MEDIUM | Notable saving (read events, KMS/RDS noise, Lake tuning) | Plan within 30 days |\\\\\\\\n| LOW | Minor saving or hygiene (S3 lifecycle) | Address when convenient |\\\\\\\\n| INFO | Observation, no direct charge | N/A |\\\\\\\\n\\\\\\\\n## Safety and Boundaries\\\\\\\\n\\\\\\\\n- **Read-only.** The skill calls only `Describe*`, `Get*`, `List*` APIs. It never\\\\\\\\n calls `CreateTrail`, `UpdateTrail`, `DeleteTrail`, `PutEventSelectors`,\\\\\\\\n `StopLogging`, or any Lake mutation.\\\\\\\\n- **Compliance first.** Before recommending disabling a trail, dropping Read events,\\\\\\\\n or excluding KMS/RDS events, state the audit/compliance tradeoff. Never recommend\\\\\\\\n reducing the single authoritative security trail below the organization\\\\'s logging\\\\\\\\n requirements. When in doubt, recommend converting a duplicate to\\\\\\\\n data-events-only rather than deleting it.\\\\\\\\n- **Proposed changes are suggestions.** Every recommendation is for a human to review\\\\\\\\n and apply. Do not apply an event-selector or trail change you have not surfaced for\\\\\\\\n review.\\\\\\\\n\\\\\\\\n## Known Quirks\\\\\\\\n\\\\\\\\n- The **first copy of management events per Region is free** \\\\\\\\u2014 do not flag a single\\\\\\\\n management trail per Region as a duplicate, and do not recommend KMS/RDS or Read-event\\\\\\\\n exclusions on it. Because that copy is free, filtering it saves nothing on management\\\\\\\\n events while removing those events from the only trail that captures them \\\\\\\\u2014 a coverage\\\\\\\\n gap disguised as a saving. Management-event filtering is only a saving on a *paid*\\\\\\\\n (second-or-later) copy the customer keeps.\\\\\\\\n- **De-duplication and management-event filtering are mutually exclusive on the same\\\\\\\\n copy.** Recommending \\\\\\\\\\\"delete the duplicate trail\\\\\\\\\\\" and \\\\\\\\\\\"exclude KMS/RDS on the\\\\\\\\n surviving trail\\\\\\\\\\\" together is a contradiction: after dedup the survivor is the free\\\\\\\\n copy, so the exclusion saves ~$0 and blows a hole in coverage. Choose one path (see\\\\\\\\n \\\\\\\\u00a74.1 Interaction rule) and never stack the two savings.\\\\\\\\n- **Data events have no free copy** \\\\\\\\u2014 even a single data-event trail is billed; the\\\\\\\\n opportunity there is scope, not de-duplication.\\\\\\\\n- CloudTrail does not expose reliable per-trail event counts; rely on Cost Explorer\\\\\\\\n usage types and S3 bucket size as volume proxies, and clearly label estimates as\\\\\\\\n approximate.\\\\\\\\n- Organizations trails appear as **shadow trails** in member accounts \\\\\\\\u2014 set\\\\\\\\n `includeShadowTrails=true` and do not double-count them as member-created duplicates.\\\\\\\\n\\\", \\\"resource_manifest\\\": [\\\"SKILL.md\\\", \\\"references/opportunities.md\\\", \\\"references/billing-model.md\\\", \\\"references/api-inventory.md\\\", \\\"assets/report-template.md\\\"]}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:36.046000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "ee9a2fe0-e66a-404c-8c3f-452259ab0e57", + "executionId": "ce49b372-7ad3-450c-8335-e8917a74b088", + "recordId": "e3d69e08-ef34-4628-9db4-b8471bc2009a", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 4.4, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:58:36.137000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "ee9a2fe0-e66a-404c-8c3f-452259ab0e57", + "executionId": "ce49b372-7ad3-450c-8335-e8917a74b088", + "recordId": "82b69017-9af9-48ad-a924-0373dd341afe", + "content": "{\"id\": \"82b69017-9af9-48ad-a924-0373dd341afe\", \"role\": \"assistant\", \"content\": [{\"text\": \"Straight from the skill's billing model:\\n\\n- **Data events are never free** \\u2014 every copy is billed, including the first one. There's no free tier here; the only way to save is by narrowing scope (fewer resource types/ARNs covered), not by de-duplicating.\\n- **Management events do get one free copy per Region** \\u2014 the first copy is free, and only additional (second-or-later) copies are billed. This is why duplicate management-event trails are the most common source of overspend.\\n\\nOne important nuance the skill flags: don't exclude things like KMS/RDS noise or Read events from that single free management trail \\u2014 since it's not costing anything, filtering it saves $0 while creating a coverage gap. Filtering only makes sense on a paid, second-or-later copy you're keeping.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:36.234000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "ee9a2fe0-e66a-404c-8c3f-452259ab0e57", + "executionId": "ce49b372-7ad3-450c-8335-e8917a74b088", + "recordId": "a398042a-1bc9-40b1-8501-f06442e72167", + "content": "{\"id\": \"14d46e33-31eb-4ad8-95be-9deb54976162\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"Straight from the skill's billing model:\\n\\n- **Data events are never free** \\u2014 every copy is billed, including the first one. There's no free tier here; the only way to save is by narrowing scope (fewer resource types/ARNs covered), not by de-duplicating.\\n- **Management events do get one free copy per Region** \\u2014 the first copy is free, and only additional (second-or-later) copies are billed. This is why duplicate management-event trails are the most common source of overspend.\\n\\nOne important nuance the skill flags: don't exclude things like KMS/RDS noise or Read events from that single free management trail \\u2014 since it's not costing anything, filtering it saves $0 while creating a coverage gap. Filtering only makes sense on a paid, second-or-later copy you're keeping.\"}]}", + "createdAt": "2026-09-29T09:58:36.316000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-billing-model/without_skill/functional-tests-results.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-billing-model/without_skill/functional-tests-results.json new file mode 100644 index 00000000..ebf0e150 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-billing-model/without_skill/functional-tests-results.json @@ -0,0 +1,62 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "cloudtrail-cost-billing-model", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "passed", + "reasoning": "The agent's response correctly states that data events are never free (always incur charges) and that the first copy of management events per Region/trail is free, with additional copies incurring charges. This matches the expected output criteria exactly.", + "evidence": "\"Data events: Never free \u2014 they always incur charges (same goes for Insights events).\" and \"Management events: The first copy is free per trail \u2014 if you have one trail logging management events in a Region, there's no charge for that.\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response states the first copy of management events per Region is free", + "evaluator": "llm", + "passed": true, + "evidence": "\"Management events: The first copy is free per trail \u2014 if you have one trail logging management events in a Region, there's no charge for that.\"", + "reasoning": "The response explicitly states the first copy of management events is free.", + "confidence": "high" + }, + { + "text": "The response addresses CloudTrail data events", + "evaluator": "llm", + "passed": true, + "evidence": "\"Data events: Never free \u2014 they always incur charges (same goes for Insights events).\"", + "reasoning": "The response directly addresses CloudTrail data events in a dedicated bullet point.", + "confidence": "high" + }, + { + "text": "The response states that data events are never free or are always billed", + "evaluator": "llm", + "passed": true, + "evidence": "\"Data events: Never free \u2014 they always incur charges\"", + "reasoning": "The response explicitly states data events are never free / always billed, satisfying the assertion.", + "confidence": "high" + } + ], + "summary": { + "passed": 3, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "4s", + "cost": "$0.03", + "context_window": { + "utilization": "3.8%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-billing-model/without_skill/outputs/journal_records.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-billing-model/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..13c6cd7b --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-billing-model/without_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "1ca14939-db1b-4b6f-9f0a-3e97eb515266", + "executionId": "52550882-5363-4747-acc7-65021812bd68", + "recordId": "dddcd7be-3502-4b8d-8c5e-931c12fdd062", + "content": "{\"id\": \"dddcd7be-3502-4b8d-8c5e-931c12fdd062\", \"role\": \"user\", \"content\": [{\"text\": \"According to the AWS CloudTrail cost optimization skill, are CloudTrail data events ever free? And is the first copy of management events per Region free? No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:23.085000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "1ca14939-db1b-4b6f-9f0a-3e97eb515266", + "executionId": "52550882-5363-4747-acc7-65021812bd68", + "recordId": "863df76c-af40-4601-af05-97de421e8bd2", + "content": "{\"id\": \"e6ff650a-0c24-4062-b6a2-db0b6f883a3d\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"CloudTrail free tier and cost optimization\"}]}", + "createdAt": "2026-09-29T09:58:23.615000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "1ca14939-db1b-4b6f-9f0a-3e97eb515266", + "executionId": "52550882-5363-4747-acc7-65021812bd68", + "recordId": "591e6525-c97b-457e-a6e6-4d9d3b5189f7", + "content": "{\"id\": \"591e6525-c97b-457e-a6e6-4d9d3b5189f7\", \"role\": \"assistant\", \"content\": [{\"id\": \"tooluse_pcqZLCormAzrcVAKAAzSSn\", \"tool_name\": \"verify_aws_claim\", \"input\": {\"claim\": \"Is the first copy of CloudTrail management events per region free, and are CloudTrail data events ever free?\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:29.110000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "1ca14939-db1b-4b6f-9f0a-3e97eb515266", + "executionId": "52550882-5363-4747-acc7-65021812bd68", + "recordId": "59d3dbab-90b8-4eb7-adec-25084c85955e", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:58:29.212000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "1ca14939-db1b-4b6f-9f0a-3e97eb515266", + "executionId": "52550882-5363-4747-acc7-65021812bd68", + "recordId": "3155dcf0-c9f4-40e7-9a13-95c1b9c3f812", + "content": "{\"id\": \"ecdf1dea-0141-42c1-bb77-f07666b05d9a\", \"role\": \"assistant\", \"block_type\": \"tool_summary\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_pcqZLCormAzrcVAKAAzSSn\", \"status\": \"success\", \"content\": [{\"text\": \"{\\\"content\\\":{\\\"result\\\":[{\\\"rank_order\\\":1,\\\"title\\\":\\\"Choose event types\\\",\\\"context\\\":\\\"## Pricing overview\\\\n\\\\nThe first copy of management events is free; that is, if you have one trail that is\\\\nlogging management events, there are no CloudTrail charges to log management events\\\\non that\\\\ntrail. A second or any other trails that log management events incur charges, because\\\\nany other copies of management events are charged. Data or Insights events always\\\\nincur\\\\ncharges. You are also charged for the S3 bucket that is used to store logs of any\\\\nevents. Before you choose the events you want to log on your trail, see AWS CloudTrail Pricing for details and\\\\nexamples\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/help-panel/awscloudtrail/latest/console/create-trail-event-type.html\\\"},{\\\"rank_order\\\":2,\\\"title\\\":\\\"interface EventSelectorProperty \\u00b7 AWS CDK\\\",\\\"context\\\":\\\"### includeManagementEvents?\\\\n\\\\n*Type:*\\\\n`boolean |` `IResolvable`\\\\n*(optional)*\\\\n\\\\nSpecify if you want your event selector to include management events for your trail.\\\\n\\\\nFor more information, see Management Events in the *AWS CloudTrail User Guide* .\\\\n\\\\nBy default, the value is `true` .\\\\n\\\\nThe first copy of management events is free. You are charged for additional copies of management events that you are logging on any subsequent trail in the same Region. For more information about CloudTrail pricing, see AWS CloudTrail Pricing .\\\\n\\\\n---\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_cloudtrail.CfnTrail.EventSelectorProperty.html\\\"},{\\\"rank_order\\\":3,\\\"title\\\":\\\"includeManagementEvents\\\",\\\"context\\\":\\\"# includeManagementEvents\\\\n\\\\nvar includeManagementEvents: Boolean?\\\\n\\\\nSpecify if you want your event selector to include management events for your trail.\\\\n\\\\nFor more information, see Management Events in the *CloudTrail User Guide*.\\\\n\\\\nBy default, the value is `true`.\\\\n\\\\nThe first copy of management events is free. You are charged for additional copies of management events that you are logging on any subsequent trail in the same Region. For more information about CloudTrail pricing, see CloudTrail Pricing.\\\\n\\\\nGenerated by\\\\nDokka\\\\n\\\\n\\u00a9 2026, Amazon Web Services, Inc. or its affiliates. All rights reserved\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/sdk-for-kotlin/api/latest/cloudtrail/aws.sdk.kotlin.services.cloudtrail.model/-event-selector/-builder/include-management-events.html\\\"}]}}\"}]}], \"label\": \"Verify AWS CloudTrail pricing for management and data events in docs.\"}", + "createdAt": "2026-09-29T09:58:30.618000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "1ca14939-db1b-4b6f-9f0a-3e97eb515266", + "executionId": "52550882-5363-4747-acc7-65021812bd68", + "recordId": "307e50af-4b14-4c1d-b89f-032f2d6536bd", + "content": "{\"id\": \"307e50af-4b14-4c1d-b89f-032f2d6536bd\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_pcqZLCormAzrcVAKAAzSSn\", \"content\": \"[{'text': '{\\\"content\\\":{\\\"result\\\":[{\\\"rank_order\\\":1,\\\"title\\\":\\\"Choose event types\\\",\\\"context\\\":\\\"## Pricing overview\\\\\\\\n\\\\\\\\nThe first copy of management events is free; that is, if you have one trail that is\\\\\\\\nlogging management events, there are no CloudTrail charges to log management events\\\\\\\\non that\\\\\\\\ntrail. A second or any other trails that log management events incur charges, because\\\\\\\\nany other copies of management events are charged. Data or Insights events always\\\\\\\\nincur\\\\\\\\ncharges. You are also charged for the S3 bucket that is used to store logs of any\\\\\\\\nevents. Before you choose the events you want to log on your trail, see AWS CloudTrail Pricing for details and\\\\\\\\nexamples\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/help-panel/awscloudtrail/latest/console/create-trail-event-type.html\\\"},{\\\"rank_order\\\":2,\\\"title\\\":\\\"interface EventSelectorProperty \\u00b7 AWS CDK\\\",\\\"context\\\":\\\"### includeManagementEvents?\\\\\\\\n\\\\\\\\n*Type:*\\\\\\\\n`boolean |` `IResolvable`\\\\\\\\n*(optional)*\\\\\\\\n\\\\\\\\nSpecify if you want your event selector to include management events for your trail.\\\\\\\\n\\\\\\\\nFor more information, see Management Events in the *AWS CloudTrail User Guide* .\\\\\\\\n\\\\\\\\nBy default, the value is `true` .\\\\\\\\n\\\\\\\\nThe first copy of management events is free. You are charged for additional copies of management events that you are logging on any subsequent trail in the same Region. For more information about CloudTrail pricing, see AWS CloudTrail Pricing .\\\\\\\\n\\\\\\\\n---\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_cloudtrail.CfnTrail.EventSelectorProperty.html\\\"},{\\\"rank_order\\\":3,\\\"title\\\":\\\"includeManagementEvents\\\",\\\"context\\\":\\\"# includeManagementEvents\\\\\\\\n\\\\\\\\nvar includeManagementEvents: Boolean?\\\\\\\\n\\\\\\\\nSpecify if you want your event selector to include management events for your trail.\\\\\\\\n\\\\\\\\nFor more information, see Management Events in the *CloudTrail User Guide*.\\\\\\\\n\\\\\\\\nBy default, the value is `true`.\\\\\\\\n\\\\\\\\nThe first copy of management events is free. You are charged for additional copies of management events that you are logging on any subsequent trail in the same Region. For more information about CloudTrail pricing, see CloudTrail Pricing.\\\\\\\\n\\\\\\\\nGenerated by\\\\\\\\nDokka\\\\\\\\n\\\\\\\\n\\u00a9 2026, Amazon Web Services, Inc. or its affiliates. All rights reserved\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/sdk-for-kotlin/api/latest/cloudtrail/aws.sdk.kotlin.services.cloudtrail.model/-event-selector/-builder/include-management-events.html\\\"}]}}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:34.434000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "1ca14939-db1b-4b6f-9f0a-3e97eb515266", + "executionId": "52550882-5363-4747-acc7-65021812bd68", + "recordId": "16a0160e-bc45-4e0d-8c12-f739f46ee7cb", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.8, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:58:34.505000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "1ca14939-db1b-4b6f-9f0a-3e97eb515266", + "executionId": "52550882-5363-4747-acc7-65021812bd68", + "recordId": "91d95be8-5016-4b99-b9ba-3a64043f27ea", + "content": "{\"id\": \"91d95be8-5016-4b99-b9ba-3a64043f27ea\", \"role\": \"assistant\", \"content\": [{\"text\": \"Based on AWS documentation:\\n\\n- **Data events**: Never free \\u2014 they always incur charges (same goes for Insights events).\\n- **Management events**: The **first copy is free** per trail \\u2014 if you have one trail logging management events in a Region, there's no charge for that. Any *additional* copies (e.g., a second trail logging management events in the same Region) do incur charges.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:34.592000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "1ca14939-db1b-4b6f-9f0a-3e97eb515266", + "executionId": "52550882-5363-4747-acc7-65021812bd68", + "recordId": "98f0836e-e03b-49bb-ac6b-dad49da86339", + "content": "{\"id\": \"3a52fe81-f35c-48c3-8da0-bd8705390bda\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"Based on AWS documentation:\\n\\n- **Data events**: Never free \\u2014 they always incur charges (same goes for Insights events).\\n- **Management events**: The **first copy is free** per trail \\u2014 if you have one trail logging management events in a Region, there's no charge for that. Any *additional* copies (e.g., a second trail logging management events in the same Region) do incur charges.\"}]}", + "createdAt": "2026-09-29T09:58:34.680000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-dedup-exclusion-interaction/with_skill/functional-tests-results.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-dedup-exclusion-interaction/with_skill/functional-tests-results.json new file mode 100644 index 00000000..31f4b755 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-dedup-exclusion-interaction/with_skill/functional-tests-results.json @@ -0,0 +1,65 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "cloudtrail-cost-dedup-exclusion-interaction", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "failed", + "message": "Skill 'cloudtrail-cost-optimization' was NOT triggered (no skills were loaded)", + "skill_loads_found": 0 + }, + "expected_output": { + "result": "passed", + "reasoning": "The agent correctly explains that CloudTrail management events bill on a \"first copy free, additional copies billed\" model per region/account, not per event type. It correctly concludes that once down to a single management-event trail, that trail is likely the free first copy, so excluding KMS/RDS events saves ~$0 on CloudTrail management-event delivery itself. It also correctly notes de-dup and event-source filtering savings are separate/non-additive (de-dup saves on removing duplicate trail copies; KMS/RDS exclusion only helps downstream storage/ingestion costs like S3/CloudWatch/Lake, or on a paid additional copy). \n\nThe one point the expected output emphasizes that the agent didn't explicitly call out is the \"coverage/audit gap\" framing - the agent frames the exclusion as saving $0 with downstream benefits, but doesn't explicitly state that removing KMS/RDS events from the sole surviving trail creates a security/audit blind spot since it's the only trail capturing those events. This is a nuance mentioned in the expected output but the agent's response still substantively covers the core financial/billing logic correctly. The core technical explanation and conclusion (no real CloudTrail savings) matches well, though the audit-gap risk framing is not explicitly highlighted as a con.\n\nGiven the core criteria (billing model, first-copy-free, no additive savings, correct conclusion) are well covered, this passes, though the audit-gap point is a minor gap.", + "confidence": "medium" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response states that the single surviving trail's management events are the free first copy, so excluding KMS/RDS from it does not save money", + "evaluator": "llm", + "passed": true, + "evidence": "The agent states: 'Once you're down to a single management-event trail, you're already at \"one copy\" \u2014 likely within the free tier for management events... If that's the case, excluding KMS/RDS Data API from it saves you $0 on CloudTrail itself, because there was no per-event charge to begin with on that first copy.'", + "reasoning": "This directly matches the assertion: the response identifies the surviving trail as the free first copy and concludes excluding KMS/RDS does not save CloudTrail delivery money.", + "confidence": "high" + }, + { + "text": "The response warns that excluding those events from the sole trail creates a coverage/audit gap rather than a saving", + "evaluator": "llm", + "passed": false, + "evidence": "The response focuses entirely on cost implications (CloudTrail billing, S3/CloudWatch/Lake storage savings) and never mentions audit coverage, security visibility loss, or compliance/monitoring gaps from excluding KMS/RDS Data API events.", + "reasoning": "There is no mention anywhere in the output of a coverage or audit gap risk from excluding these event sources; the discussion is purely about cost, not security/audit implications.", + "confidence": "high" + }, + { + "text": "The response notes that management-event exclusion only saves money on a paid (second-or-later) copy, not the single authoritative trail", + "evaluator": "llm", + "passed": true, + "evidence": "The agent explains: 'Beyond that first copy, you're billed per additional copy of management events delivered to additional trails' and 'no savings on the CloudTrail management-event delivery charge itself, since that's already flat-rate per trail, not per event' while also noting the sole trail is 'likely within the free tier'.", + "reasoning": "The response clearly conveys that exclusion only matters for additional (paid) copies beyond the first free one, and that the single authoritative trail (the free copy) sees no such savings \u2014 matching the assertion's substance.", + "confidence": "high" + } + ], + "summary": { + "passed": 2, + "failed": 1, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 0.6667 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.6%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-dedup-exclusion-interaction/with_skill/outputs/journal_records.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-dedup-exclusion-interaction/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..8977a939 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-dedup-exclusion-interaction/with_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "dbdba0cf-2434-49de-b9f8-4da4d4fa0588", + "executionId": "d6624270-1008-4ea5-b0f5-81d491bd2029", + "recordId": "839a0644-1101-4aa4-8ab8-5765f4a0c701", + "content": "{\"id\": \"839a0644-1101-4aa4-8ab8-5765f4a0c701\", \"role\": \"user\", \"content\": [{\"text\": \"I plan to de-duplicate down to a single management-event trail, and I also want to exclude KMS and RDS Data API events from that surviving trail to save money. Is excluding those events from the sole remaining trail a real cost saving? Explain, based on how CloudTrail bills management events. No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:23.352000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "dbdba0cf-2434-49de-b9f8-4da4d4fa0588", + "executionId": "d6624270-1008-4ea5-b0f5-81d491bd2029", + "recordId": "b4eb95df-e99e-443e-9f3d-f92e95aecf03", + "content": "{\"id\": \"0b2c966b-c96a-40f5-b9b0-2f52627aa069\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"CloudTrail billing impact excluding KMS RDS events\"}]}", + "createdAt": "2026-09-29T09:58:23.980000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "dbdba0cf-2434-49de-b9f8-4da4d4fa0588", + "executionId": "d6624270-1008-4ea5-b0f5-81d491bd2029", + "recordId": "33473287-1848-4bea-a1bb-65d6a92d93b3", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:58:38.546000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "dbdba0cf-2434-49de-b9f8-4da4d4fa0588", + "executionId": "d6624270-1008-4ea5-b0f5-81d491bd2029", + "recordId": "a8aa2fe1-8d8a-469b-bbcd-e5482de3a86d", + "content": "{\"id\": \"a8aa2fe1-8d8a-469b-bbcd-e5482de3a86d\", \"role\": \"assistant\", \"content\": [{\"text\": \"Short answer: no \\u2014 for a *management-event* trail, excluding KMS or RDS Data API activity won't save you anything. Let me explain why, since it trips people up.\\n\\n**How CloudTrail bills management events**\\n\\nCloudTrail delivers one free copy of management events per region per account. Beyond that first copy, you're billed per additional copy of management events delivered to additional trails \\u2014 not per event type, and not based on which specific API calls are included or excluded.\\n\\nThe KMS/RDS Data API exclusion knobs (`ExcludeManagementEventSources`) exist for a different reason: those two sources generate very high call volumes (KMS especially, since it's invoked constantly under the hood by other services), and excluding them cuts down on **log volume and noise** \\u2014 useful for reducing S3 storage costs, CloudWatch Logs ingestion costs, or Athena/Lake query costs on top of a trail. But it has no effect on the CloudTrail management-event delivery charge itself, because that charge is a flat \\\"first copy free, additional copies billed\\\" model per trail \\u2014 not metered by event count or event source.\\n\\n**Why this matters for your specific plan**\\n\\n- Once you're down to a single management-event trail, you're already at \\\"one copy\\\" \\u2014 likely within the free tier for management events (assuming it's the only trail capturing management events account/region-wide).\\n- If that's the case, excluding KMS/RDS Data API from it saves you **$0** on CloudTrail itself, because there was no per-event charge to begin with on that first copy.\\n- The savings from your de-duplication comes entirely from removing the *other* redundant trails (each additional trail was billing you for a duplicate copy of the same management events) \\u2014 not from filtering event sources on the survivor.\\n\\n**Where the KMS/RDS exclusion *does* pay off**\\n\\nIt's still worth doing if the survivor trail delivers to S3, CloudWatch Logs, or a Lake event data store, since those downstream costs scale with event volume:\\n- S3 PUT/storage costs for log files\\n- CloudWatch Logs ingestion/storage costs (if the trail streams there)\\n- Lake ingestion and storage costs (billed per GB ingested/retained)\\n\\nSo: real savings if you're paying for storage/ingestion of the events; no savings on the CloudTrail management-event delivery charge itself, since that's already flat-rate per trail, not per event.\\n\\nWant me to look at your actual trails and quantify what the de-dup vs. the KMS/RDS exclusion would each save given your real log volumes?\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:38.645000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "dbdba0cf-2434-49de-b9f8-4da4d4fa0588", + "executionId": "d6624270-1008-4ea5-b0f5-81d491bd2029", + "recordId": "9262f711-3f5e-4be8-986a-11e453002b80", + "content": "{\"id\": \"04a803b5-1e5c-41fa-9813-c538c674054f\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"Short answer: no \\u2014 for a *management-event* trail, excluding KMS or RDS Data API activity won't save you anything. Let me explain why, since it trips people up.\\n\\n**How CloudTrail bills management events**\\n\\nCloudTrail delivers one free copy of management events per region per account. Beyond that first copy, you're billed per additional copy of management events delivered to additional trails \\u2014 not per event type, and not based on which specific API calls are included or excluded.\\n\\nThe KMS/RDS Data API exclusion knobs (`ExcludeManagementEventSources`) exist for a different reason: those two sources generate very high call volumes (KMS especially, since it's invoked constantly under the hood by other services), and excluding them cuts down on **log volume and noise** \\u2014 useful for reducing S3 storage costs, CloudWatch Logs ingestion costs, or Athena/Lake query costs on top of a trail. But it has no effect on the CloudTrail management-event delivery charge itself, because that charge is a flat \\\"first copy free, additional copies billed\\\" model per trail \\u2014 not metered by event count or event source.\\n\\n**Why this matters for your specific plan**\\n\\n- Once you're down to a single management-event trail, you're already at \\\"one copy\\\" \\u2014 likely within the free tier for management events (assuming it's the only trail capturing management events account/region-wide).\\n- If that's the case, excluding KMS/RDS Data API from it saves you **$0** on CloudTrail itself, because there was no per-event charge to begin with on that first copy.\\n- The savings from your de-duplication comes entirely from removing the *other* redundant trails (each additional trail was billing you for a duplicate copy of the same management events) \\u2014 not from filtering event sources on the survivor.\\n\\n**Where the KMS/RDS exclusion *does* pay off**\\n\\nIt's still worth doing if the survivor trail delivers to S3, CloudWatch Logs, or a Lake event data store, since those downstream costs scale with event volume:\\n- S3 PUT/storage costs for log files\\n- CloudWatch Logs ingestion/storage costs (if the trail streams there)\\n- Lake ingestion and storage costs (billed per GB ingested/retained)\\n\\nSo: real savings if you're paying for storage/ingestion of the events; no savings on the CloudTrail management-event delivery charge itself, since that's already flat-rate per trail, not per event.\\n\\nWant me to look at your actual trails and quantify what the de-dup vs. the KMS/RDS exclusion would each save given your real log volumes?\"}]}", + "createdAt": "2026-09-29T09:58:38.732000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-dedup-exclusion-interaction/without_skill/functional-tests-results.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-dedup-exclusion-interaction/without_skill/functional-tests-results.json new file mode 100644 index 00000000..6873b874 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-dedup-exclusion-interaction/without_skill/functional-tests-results.json @@ -0,0 +1,62 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "cloudtrail-cost-dedup-exclusion-interaction", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "passed", + "reasoning": "The agent's response correctly explains the core concept: after de-duplicating to a single management-event trail, that trail receives the first-copy-free management events per region/account. It correctly concludes that excluding KMS/RDS Data API events from this sole trail saves ~$0 because you're already paying $0 for that copy. It also correctly notes that the exclusion pattern only matters when there are multiple trails (additional paid copies), which matches the expected output's point that KMS/RDS exclusion only saves money on a paid second-or-later copy. The response also touches on the coverage/audit gap concept, noting the exclusion removes those events from the only trail capturing them, though it frames this more as 'noise reduction' being optional rather than explicitly calling out the audit/coverage gap risk as strongly as the expected output does. Overall, the key financial reasoning and conclusion (no savings, redundant to stack these optimizations) is accurately and clearly conveyed.", + "evidence": "\"Since: Management events on your sole surviving trail fall under the first-copy-free allowance, and You're not running any other trail that would also capture those same management events, ...there's nothing to \\\"save\\\" by excluding KMS/RDS Data API events from that trail.\" and \"The KMS/RDS-Data-API exclusion pattern is a real, commonly-recommended savings tactic only when you have multiple trails capturing overlapping management events... In that scenario, excluding chatty low-value sources... reduces the number of billed event copies.\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response states that the single surviving trail's management events are the free first copy, so excluding KMS/RDS from it does not save money", + "evaluator": "llm", + "passed": true, + "evidence": "The response states: 'CloudTrail delivers one free copy of management events per region per account, through the first trail that captures them... If you're de-duplicating down to a single management-event trail, that trail is your one free copy \u2014 there's no second trail generating a billable duplicate.' and concludes 'excluding KMS and RDS Data API events won't save you anything on that surviving trail'", + "reasoning": "The response directly and explicitly makes this claim, tying the free-first-copy mechanic to the conclusion that exclusion doesn't save money on the sole trail.", + "confidence": "high" + }, + { + "text": "The response warns that excluding those events from the sole trail creates a coverage/audit gap rather than a saving", + "evaluator": "llm", + "passed": false, + "evidence": "The response only mentions 'it may still be worth doing for noise reduction / signal clarity in your logs, but not for bill reduction.' There is no mention of a coverage gap, audit gap, security blind spot, or loss of visibility from excluding KMS/RDS events.", + "reasoning": "The response never frames the exclusion as creating an audit or coverage gap; it only discusses cost implications and briefly mentions 'noise reduction' as a non-cost benefit, which is the opposite framing (positive) rather than a warning about a gap.", + "confidence": "high" + }, + { + "text": "The response notes that management-event exclusion only saves money on a paid (second-or-later) copy, not the single authoritative trail", + "evaluator": "llm", + "passed": true, + "evidence": "The response states: 'The KMS/RDS-Data-API exclusion pattern is a real, commonly-recommended savings tactic only when you have multiple trails capturing overlapping management events... In that scenario, excluding chatty low-value sources like KMS Decrypt/GenerateDataKey calls from the additional (billable) trail(s) reduces the number of billed event copies.'", + "reasoning": "The response explicitly distinguishes that the exclusion tactic only yields savings on additional/billable trails (second-or-later copies), not on the single authoritative free-copy trail, matching the assertion precisely.", + "confidence": "high" + } + ], + "summary": { + "passed": 2, + "failed": 1, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 0.6667 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.6%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-dedup-exclusion-interaction/without_skill/outputs/journal_records.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-dedup-exclusion-interaction/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..2a19894f --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-dedup-exclusion-interaction/without_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "1449d9d3-1510-4568-b3a3-27fad8fa41b7", + "executionId": "909d2867-1727-4e54-bcdb-d9b8f57b3746", + "recordId": "806b39dc-2901-470c-960e-faedf6fbccff", + "content": "{\"id\": \"806b39dc-2901-470c-960e-faedf6fbccff\", \"role\": \"user\", \"content\": [{\"text\": \"I plan to de-duplicate down to a single management-event trail, and I also want to exclude KMS and RDS Data API events from that surviving trail to save money. Is excluding those events from the sole remaining trail a real cost saving? Explain, based on how CloudTrail bills management events. No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:22.545000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "1449d9d3-1510-4568-b3a3-27fad8fa41b7", + "executionId": "909d2867-1727-4e54-bcdb-d9b8f57b3746", + "recordId": "921fde13-48fa-48f1-986b-b1c6b0c29579", + "content": "{\"id\": \"137233db-3871-48b7-b366-3462c9dfd7c2\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"CloudTrail billing impact of excluding KMS and RDS events\"}]}", + "createdAt": "2026-09-29T09:58:23.209000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "1449d9d3-1510-4568-b3a3-27fad8fa41b7", + "executionId": "909d2867-1727-4e54-bcdb-d9b8f57b3746", + "recordId": "c241d3eb-0093-4573-b585-7c5999fd121d", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:58:35.942000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "1449d9d3-1510-4568-b3a3-27fad8fa41b7", + "executionId": "909d2867-1727-4e54-bcdb-d9b8f57b3746", + "recordId": "a1957765-d485-4565-a330-994f77a24ec0", + "content": "{\"id\": \"a1957765-d485-4565-a330-994f77a24ec0\", \"role\": \"assistant\", \"content\": [{\"text\": \"Short answer: **excluding KMS and RDS Data API events won't save you anything on that surviving trail** \\u2014 and here's why, based on how CloudTrail actually bills.\\n\\n## How CloudTrail bills management events\\n\\nCloudTrail delivers **one free copy of management events per region per account**, through the first trail that captures them. Additional trails logging the same management events incur charges per additional copy delivered. If you're de-duplicating down to a **single** management-event trail, that trail *is* your one free copy \\u2014 there's no second trail generating a billable duplicate.\\n\\n## Why the KMS/RDS Data API exclusion doesn't help\\n\\nThe data-event-style exclusions for KMS (`kms.amazonaws.com`) and RDS Data API events are a cost lever *specifically for high-volume noisy management events* \\u2014 but that lever only matters when you're paying per event. Since:\\n\\n- Management events on your **sole surviving trail** fall under the **first-copy-free** allowance, and\\n- You're not running any other trail that would also capture those same management events,\\n\\n...there's nothing to \\\"save\\\" by excluding KMS/RDS Data API events from that trail. You'd already be paying **$0** for those events regardless of whether you exclude them, because the whole trail's management event stream is the free copy.\\n\\n## When this exclusion *would* matter\\n\\nThe KMS/RDS-Data-API exclusion pattern is a real, commonly-recommended savings tactic **only when you have multiple trails** capturing overlapping management events (e.g., a second trail for a different SIEM/Security Hub integration, or a per-region trail architecture where you haven't fully deduplicated). In that scenario, excluding chatty low-value sources like KMS `Decrypt`/`GenerateDataKey` calls from the *additional* (billable) trail(s) reduces the number of billed event copies.\\n\\n## Bottom line\\n\\nYour de-duplication to one trail is the actual cost optimization \\u2014 it eliminates duplicate billed copies entirely. Layering the KMS/RDS Data API exclusion on top of that single remaining trail is redundant from a cost standpoint; it may still be worth doing for **noise reduction / signal clarity** in your logs, but not for bill reduction.\\n\\nWant me to verify the current CloudTrail pricing/first-copy-free mechanics against the latest AWS documentation to confirm nothing has changed?\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:36.020000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "1449d9d3-1510-4568-b3a3-27fad8fa41b7", + "executionId": "909d2867-1727-4e54-bcdb-d9b8f57b3746", + "recordId": "13e07cf9-b4b6-4bf7-b51d-cd8366b24f3b", + "content": "{\"id\": \"27dccbfd-f9ff-4915-b712-d098598199ec\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"Short answer: **excluding KMS and RDS Data API events won't save you anything on that surviving trail** \\u2014 and here's why, based on how CloudTrail actually bills.\\n\\n## How CloudTrail bills management events\\n\\nCloudTrail delivers **one free copy of management events per region per account**, through the first trail that captures them. Additional trails logging the same management events incur charges per additional copy delivered. If you're de-duplicating down to a **single** management-event trail, that trail *is* your one free copy \\u2014 there's no second trail generating a billable duplicate.\\n\\n## Why the KMS/RDS Data API exclusion doesn't help\\n\\nThe data-event-style exclusions for KMS (`kms.amazonaws.com`) and RDS Data API events are a cost lever *specifically for high-volume noisy management events* \\u2014 but that lever only matters when you're paying per event. Since:\\n\\n- Management events on your **sole surviving trail** fall under the **first-copy-free** allowance, and\\n- You're not running any other trail that would also capture those same management events,\\n\\n...there's nothing to \\\"save\\\" by excluding KMS/RDS Data API events from that trail. You'd already be paying **$0** for those events regardless of whether you exclude them, because the whole trail's management event stream is the free copy.\\n\\n## When this exclusion *would* matter\\n\\nThe KMS/RDS-Data-API exclusion pattern is a real, commonly-recommended savings tactic **only when you have multiple trails** capturing overlapping management events (e.g., a second trail for a different SIEM/Security Hub integration, or a per-region trail architecture where you haven't fully deduplicated). In that scenario, excluding chatty low-value sources like KMS `Decrypt`/`GenerateDataKey` calls from the *additional* (billable) trail(s) reduces the number of billed event copies.\\n\\n## Bottom line\\n\\nYour de-duplication to one trail is the actual cost optimization \\u2014 it eliminates duplicate billed copies entirely. Layering the KMS/RDS Data API exclusion on top of that single remaining trail is redundant from a cost standpoint; it may still be worth doing for **noise reduction / signal clarity** in your logs, but not for bill reduction.\\n\\nWant me to verify the current CloudTrail pricing/first-copy-free mechanics against the latest AWS documentation to confirm nothing has changed?\"}]}", + "createdAt": "2026-09-29T09:58:36.091000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-duplicate-reasoning/with_skill/functional-tests-results.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-duplicate-reasoning/with_skill/functional-tests-results.json new file mode 100644 index 00000000..1f8a7216 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-duplicate-reasoning/with_skill/functional-tests-results.json @@ -0,0 +1,74 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "cloudtrail-cost-duplicate-reasoning", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "failed", + "message": "Skill 'cloudtrail-cost-optimization' was NOT triggered (no skills were loaded)", + "skill_loads_found": 0 + }, + "expected_output": { + "result": "passed", + "reasoning": "The agent correctly identifies legacy-security-trail as the paid duplicate, explains the free-copy rule (first multi-Region/org trail gets the free copy per region), and recommends turning off management event logging or scoping to data-events-only on the single-Region trail, while preserving the org trail's functionality. This matches all key elements of the expected output.", + "evidence": "\"That makes legacy-security-trail the paid duplicate... Recommended fix: Stop logging management events on legacy-security-trail (or delete it if it serves no other purpose)... keep the trail but set its management event selector to log nothing, or scope it to data events only\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response identifies the single-Region trail (legacy-security-trail) as the paid duplicate", + "evaluator": "llm", + "passed": true, + "evidence": "'That makes legacy-security-trail the paid duplicate: it's a single-Region trail in us-east-1 logging All management events that are already being captured for free by the org trail.'", + "reasoning": "The response explicitly names legacy-security-trail as the paid duplicate.", + "confidence": "high" + }, + { + "text": "The response explains the fix in terms of a duplicate or paid second copy of management events", + "evaluator": "llm", + "passed": true, + "evidence": "'You're paying full price for management-event delivery that's redundant.' and the recommended fix section discusses eliminating 'duplicate management-event billing'.", + "reasoning": "The fix is framed explicitly around eliminating the duplicate/second paid copy of management events.", + "confidence": "high" + }, + { + "text": "The response references CloudTrail's free first copy rule for management events", + "evaluator": "llm", + "passed": true, + "evidence": "'The free copy of management events applies once per region per account \u2014 specifically, the first multi-Region trail (or the org trail, if you have one) covering that region gets the free management-event copy.'", + "reasoning": "The response explicitly states and explains CloudTrail's free first-copy rule for management events.", + "confidence": "high" + }, + { + "text": "The response keeps the multi-Region/authoritative trail rather than recommending deleting it", + "evaluator": "llm", + "passed": true, + "evidence": "'org-multi-region-trail is the organization, multi-Region trail \u2014 it's the one that qualifies for the free management-event copy... Recommended fix: Stop logging management events on legacy-security-trail (or delete it if it serves no other purpose).'", + "reasoning": "The agent recommends removing/modifying legacy-security-trail while keeping org-multi-region-trail intact; it never suggests deleting the multi-Region/org trail.", + "confidence": "high" + } + ], + "summary": { + "passed": 4, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 4, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.7%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-duplicate-reasoning/with_skill/outputs/journal_records.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-duplicate-reasoning/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..9ceb226c --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-duplicate-reasoning/with_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "8c54df07-e06a-4d8a-9686-127b43ea4ba2", + "executionId": "1850c064-8c5e-4dc1-bb1d-d2c192131c75", + "recordId": "5d58c6c5-06b6-43e2-9890-99b102c447e0", + "content": "{\"id\": \"5d58c6c5-06b6-43e2-9890-99b102c447e0\", \"role\": \"user\", \"content\": [{\"text\": \"In us-east-1 I have two trails both logging All management events: a multi-Region organization trail (org-multi-region-trail) and a separate single-Region trail (legacy-security-trail). Which one is the paid duplicate, and what is the recommended fix? Explain briefly why, based on CloudTrail's free-copy rule. No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:23.814000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "8c54df07-e06a-4d8a-9686-127b43ea4ba2", + "executionId": "1850c064-8c5e-4dc1-bb1d-d2c192131c75", + "recordId": "a96c2a3a-b590-42e1-a9c0-5c4dc9d3b764", + "content": "{\"id\": \"3aa9ab64-8ff2-4a1e-b2c9-e8985f6b6e86\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"CloudTrail duplicate trail billing and free-copy rule\"}]}", + "createdAt": "2026-09-29T09:58:24.402000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "8c54df07-e06a-4d8a-9686-127b43ea4ba2", + "executionId": "1850c064-8c5e-4dc1-bb1d-d2c192131c75", + "recordId": "fd27a2b4-2ded-46ec-b6c1-558652a9a009", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.7, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:58:34.043000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "8c54df07-e06a-4d8a-9686-127b43ea4ba2", + "executionId": "1850c064-8c5e-4dc1-bb1d-d2c192131c75", + "recordId": "c3a3f621-3775-409a-b44c-140c124f403e", + "content": "{\"id\": \"c3a3f621-3775-409a-b44c-140c124f403e\", \"role\": \"assistant\", \"content\": [{\"text\": \"The free copy of management events applies once per region per account \\u2014 specifically, the **first** multi-Region trail (or the org trail, if you have one) covering that region gets the free management-event copy. Any additional trail logging the same management events in the same region is billed.\\n\\nHere, **`org-multi-region-trail`** is the organization, multi-Region trail \\u2014 it's the one that qualifies for the free management-event copy across every region, including us-east-1.\\n\\nThat makes **`legacy-security-trail`** the paid duplicate: it's a single-Region trail in us-east-1 logging All management events that are already being captured for free by the org trail. You're paying full price for management-event delivery that's redundant.\\n\\n**Recommended fix:** Stop logging management events on `legacy-security-trail` (or delete it if it serves no other purpose). If it's only there for management events, remove it entirely. If it was created to capture something the org trail doesn't (e.g., specific data events, or a separate S3 destination/retention policy for compliance reasons), keep the trail but set its management event selector to log nothing, or scope it to data events only \\u2014 that eliminates the duplicate management-event billing while preserving any unique purpose it serves.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:34.136000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "8c54df07-e06a-4d8a-9686-127b43ea4ba2", + "executionId": "1850c064-8c5e-4dc1-bb1d-d2c192131c75", + "recordId": "cfb3da0a-3b74-4949-a4e3-e8983e919e68", + "content": "{\"id\": \"1d101459-e111-4ca9-ad2d-5de16fcfe26e\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"The free copy of management events applies once per region per account \\u2014 specifically, the **first** multi-Region trail (or the org trail, if you have one) covering that region gets the free management-event copy. Any additional trail logging the same management events in the same region is billed.\\n\\nHere, **`org-multi-region-trail`** is the organization, multi-Region trail \\u2014 it's the one that qualifies for the free management-event copy across every region, including us-east-1.\\n\\nThat makes **`legacy-security-trail`** the paid duplicate: it's a single-Region trail in us-east-1 logging All management events that are already being captured for free by the org trail. You're paying full price for management-event delivery that's redundant.\\n\\n**Recommended fix:** Stop logging management events on `legacy-security-trail` (or delete it if it serves no other purpose). If it's only there for management events, remove it entirely. If it was created to capture something the org trail doesn't (e.g., specific data events, or a separate S3 destination/retention policy for compliance reasons), keep the trail but set its management event selector to log nothing, or scope it to data events only \\u2014 that eliminates the duplicate management-event billing while preserving any unique purpose it serves.\"}]}", + "createdAt": "2026-09-29T09:58:34.207000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-duplicate-reasoning/without_skill/functional-tests-results.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-duplicate-reasoning/without_skill/functional-tests-results.json new file mode 100644 index 00000000..3564db4a --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-duplicate-reasoning/without_skill/functional-tests-results.json @@ -0,0 +1,70 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "cloudtrail-cost-duplicate-reasoning", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "passed", + "reasoning": "The agent correctly identifies legacy-security-trail as the paid duplicate, explains the free-copy rule (one free copy of management events per region, already provided by the multi-region org trail), and recommends turning off management event logging on legacy-security-trail (or converting it to data-events-only) while keeping org-multi-region-trail intact. This matches the expected output closely.", + "evidence": "\"legacy-security-trail is the paid duplicate.\" and \"Recommended fix: Stop logging management events on legacy-security-trail (set management-event logging to none, or delete/disable the trail if it serves no other purpose). If it's only there for data events or a specific S3/Lambda data-event selector, keep it but turn off the management-events selector\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response identifies the single-Region trail (legacy-security-trail) as the paid duplicate", + "evaluator": "llm", + "passed": true, + "evidence": "\"legacy-security-trail is the paid duplicate.\"", + "reasoning": "The agent explicitly identifies legacy-security-trail as the paid duplicate.", + "confidence": "high" + }, + { + "text": "The response explains the fix in terms of a duplicate or paid second copy of management events", + "evaluator": "llm", + "passed": true, + "evidence": "\"legacy-security-trail's management events in that same region are a second copy \u2014 and CloudTrail bills you for it.\" and the fix is to \"Stop logging management events on legacy-security-trail\"", + "reasoning": "The response frames the fix explicitly in terms of removing the duplicate/second paid copy of management events on legacy-security-trail.", + "confidence": "high" + }, + { + "text": "The response references CloudTrail's free first copy rule for management events", + "evaluator": "llm", + "passed": true, + "evidence": "\"CloudTrail gives every account one free copy of management-event logging per region.\"", + "reasoning": "The response explicitly states and applies the free-copy rule for management events, explaining that org-multi-region-trail already provides the free copy in us-east-1.", + "confidence": "high" + }, + { + "text": "The response keeps the multi-Region/authoritative trail rather than recommending deleting it", + "evaluator": "llm", + "passed": true, + "evidence": "\"org-multi-region-trail already covers management-event visibility and audit needs across all regions, including us-east-1.\" No recommendation to delete or modify org-multi-region-trail is given; only legacy-security-trail's management event logging is suggested to be turned off.", + "reasoning": "The agent recommends keeping org-multi-region-trail intact and only modifying/disabling the legacy-security-trail's management event logging, never suggesting deletion of the multi-region trail.", + "confidence": "high" + } + ], + "summary": { + "passed": 4, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 4, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.6%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-duplicate-reasoning/without_skill/outputs/journal_records.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-duplicate-reasoning/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..57cebe78 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-duplicate-reasoning/without_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "8a53b49f-713a-4c3a-8dd5-7fe150c5e34a", + "executionId": "f8b9671d-5fbc-478e-a953-33ed9192e4df", + "recordId": "ea2471c1-c7f0-473e-a01a-04748fef8f77", + "content": "{\"id\": \"ea2471c1-c7f0-473e-a01a-04748fef8f77\", \"role\": \"user\", \"content\": [{\"text\": \"In us-east-1 I have two trails both logging All management events: a multi-Region organization trail (org-multi-region-trail) and a separate single-Region trail (legacy-security-trail). Which one is the paid duplicate, and what is the recommended fix? Explain briefly why, based on CloudTrail's free-copy rule. No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:24.110000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "8a53b49f-713a-4c3a-8dd5-7fe150c5e34a", + "executionId": "f8b9671d-5fbc-478e-a953-33ed9192e4df", + "recordId": "54ca0a44-d518-4dcf-9231-0ff90b724979", + "content": "{\"id\": \"1f0a292a-bba4-4a89-b828-13e4f4ad9c73\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"CloudTrail duplicate logging paid trail identification\"}]}", + "createdAt": "2026-09-29T09:58:24.744000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "8a53b49f-713a-4c3a-8dd5-7fe150c5e34a", + "executionId": "f8b9671d-5fbc-478e-a953-33ed9192e4df", + "recordId": "96b47aa8-668e-4570-9d72-5c13143950b6", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:58:34.503000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "8a53b49f-713a-4c3a-8dd5-7fe150c5e34a", + "executionId": "f8b9671d-5fbc-478e-a953-33ed9192e4df", + "recordId": "1370ad59-f228-4dbb-8b23-7ead8ae40cb0", + "content": "{\"id\": \"1370ad59-f228-4dbb-8b23-7ead8ae40cb0\", \"role\": \"assistant\", \"content\": [{\"text\": \"CloudTrail gives every account **one free copy** of management-event logging per region. Here's how that applies to your setup:\\n\\n- **org-multi-region-trail** is a multi-Region org trail \\u2014 it delivers management events for *every* region, including us-east-1, and that copy is free.\\n- **legacy-security-trail** is a single-Region trail scoped to us-east-1, logging the same \\\"All management events.\\\" Since org-multi-region-trail already provides the free copy of management events in us-east-1, legacy-security-trail's management events in that same region are a **second copy** \\u2014 and CloudTrail bills you for it.\\n\\n**legacy-security-trail is the paid duplicate.**\\n\\n**Recommended fix:** Stop logging management events on legacy-security-trail (set management-event logging to none, or delete/disable the trail if it serves no other purpose). If it's only there for data events or a specific S3/Lambda data-event selector, keep it but turn off the management-events selector \\u2014 that's the part you're being charged for redundantly. org-multi-region-trail already covers management-event visibility and audit needs across all regions, including us-east-1.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:34.604000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "8a53b49f-713a-4c3a-8dd5-7fe150c5e34a", + "executionId": "f8b9671d-5fbc-478e-a953-33ed9192e4df", + "recordId": "eb567d0e-0bc2-4069-a569-7299d8b0a1bd", + "content": "{\"id\": \"f2da8dae-85e2-421b-95a4-7f145db3b272\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"CloudTrail gives every account **one free copy** of management-event logging per region. Here's how that applies to your setup:\\n\\n- **org-multi-region-trail** is a multi-Region org trail \\u2014 it delivers management events for *every* region, including us-east-1, and that copy is free.\\n- **legacy-security-trail** is a single-Region trail scoped to us-east-1, logging the same \\\"All management events.\\\" Since org-multi-region-trail already provides the free copy of management events in us-east-1, legacy-security-trail's management events in that same region are a **second copy** \\u2014 and CloudTrail bills you for it.\\n\\n**legacy-security-trail is the paid duplicate.**\\n\\n**Recommended fix:** Stop logging management events on legacy-security-trail (set management-event logging to none, or delete/disable the trail if it serves no other purpose). If it's only there for data events or a specific S3/Lambda data-event selector, keep it but turn off the management-events selector \\u2014 that's the part you're being charged for redundantly. org-multi-region-trail already covers management-event visibility and audit needs across all regions, including us-east-1.\"}]}", + "createdAt": "2026-09-29T09:58:34.722000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-negative-trigger/with_skill/functional-tests-results.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-negative-trigger/with_skill/functional-tests-results.json new file mode 100644 index 00000000..d204d5cb --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-negative-trigger/with_skill/functional-tests-results.json @@ -0,0 +1,19 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "cloudtrail-cost-negative-trigger", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "passed", + "message": "Skill 'cloudtrail-cost-optimization' was correctly NOT triggered", + "skill_loads_found": 0 + }, + "expected_output": null, + "assertions": null + }, + "metrics": null +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-negative-trigger/with_skill/outputs/journal_records.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-negative-trigger/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..19acf873 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-negative-trigger/with_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "ee10888b-6c5f-4279-8d4a-16b5f08139a8", + "executionId": "23548d58-593d-4eb9-994a-54400f739a5b", + "recordId": "a030b0b1-19eb-4492-8add-dcf9470b0f1f", + "content": "{\"id\": \"a030b0b1-19eb-4492-8add-dcf9470b0f1f\", \"role\": \"user\", \"content\": [{\"text\": \"Help me write an S3 bucket policy that grants a specific IAM role read-only access to one prefix.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T10:00:21.380000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "ee10888b-6c5f-4279-8d4a-16b5f08139a8", + "executionId": "23548d58-593d-4eb9-994a-54400f739a5b", + "recordId": "097bf63a-a3cb-45c1-bd74-a54231b31a90", + "content": "{\"id\": \"79fb3568-114d-495b-ba00-38106fe93d78\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"S3 bucket policy read-only prefix access\"}]}", + "createdAt": "2026-09-29T10:00:22.021000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "ee10888b-6c5f-4279-8d4a-16b5f08139a8", + "executionId": "23548d58-593d-4eb9-994a-54400f739a5b", + "recordId": "2d04ca45-b644-4e37-aac0-436df51bf035", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T10:00:32.760000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "ee10888b-6c5f-4279-8d4a-16b5f08139a8", + "executionId": "23548d58-593d-4eb9-994a-54400f739a5b", + "recordId": "8fe7fe79-c7f5-48bd-86a9-2324b0daef46", + "content": "{\"id\": \"8fe7fe79-c7f5-48bd-86a9-2324b0daef46\", \"role\": \"assistant\", \"content\": [{\"text\": \"Here's a bucket policy that grants read-only access to a specific IAM role, scoped to a single prefix:\\n\\n```json\\n{\\n \\\"Version\\\": \\\"2012-10-17\\\",\\n \\\"Statement\\\": [\\n {\\n \\\"Sid\\\": \\\"AllowRoleReadOnlyOnPrefix\\\",\\n \\\"Effect\\\": \\\"Allow\\\",\\n \\\"Principal\\\": {\\n \\\"AWS\\\": \\\"arn:aws:iam::ACCOUNT_ID:role/ROLE_NAME\\\"\\n },\\n \\\"Action\\\": [\\n \\\"s3:GetObject\\\",\\n \\\"s3:GetObjectVersion\\\"\\n ],\\n \\\"Resource\\\": \\\"arn:aws:s3:::BUCKET_NAME/PREFIX/*\\\"\\n },\\n {\\n \\\"Sid\\\": \\\"AllowRoleListOnPrefix\\\",\\n \\\"Effect\\\": \\\"Allow\\\",\\n \\\"Principal\\\": {\\n \\\"AWS\\\": \\\"arn:aws:iam::ACCOUNT_ID:role/ROLE_NAME\\\"\\n },\\n \\\"Action\\\": \\\"s3:ListBucket\\\",\\n \\\"Resource\\\": \\\"arn:aws:s3:::BUCKET_NAME\\\",\\n \\\"Condition\\\": {\\n \\\"StringLike\\\": {\\n \\\"s3:prefix\\\": [\\\"PREFIX/*\\\"]\\n }\\n }\\n }\\n ]\\n}\\n```\\n\\n**Fill in:**\\n- `ACCOUNT_ID` \\u2014 the account that owns the IAM role\\n- `ROLE_NAME` \\u2014 the exact role name (or use the role's full ARN if it lives in a different account)\\n- `BUCKET_NAME` \\u2014 your bucket name\\n- `PREFIX` \\u2014 the folder/prefix path, e.g. `data/reports`\\n\\n**Notes on the two statements:**\\n- The first statement (`s3:GetObject`) controls actually reading object contents \\u2014 scoped to `bucket/prefix/*`.\\n- The second statement (`s3:ListBucket`) is applied at the *bucket* level (not the prefix) because `ListBucket` is a bucket-level API \\u2014 the `s3:prefix` condition restricts what the role can list to just that prefix. Without this, the role can read objects it already knows the key for, but can't browse/list the prefix in the console or via `aws s3 ls`.\\n\\nA couple of things worth double-checking on your end:\\n- If the bucket has an existing bucket policy, you'll want to merge these statements into it rather than overwrite it.\\n- If the role's own IAM permissions (identity-based policy) don't already allow `s3:GetObject`/`s3:ListBucket` on this bucket, you may need to grant those there too \\u2014 bucket policies and identity policies are both evaluated, and access requires both to allow (unless it's cross-account, where only the resource policy grants and the identity policy just needs to not deny).\\n\\nWant me to check whether this bucket already has a policy attached, so we merge instead of overwrite?\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T10:00:32.834000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "ee10888b-6c5f-4279-8d4a-16b5f08139a8", + "executionId": "23548d58-593d-4eb9-994a-54400f739a5b", + "recordId": "01772e84-1db0-4c10-b702-bd0506de5773", + "content": "{\"id\": \"7fcb9b71-b6ac-40a6-9ef4-cdcf3ddd17fa\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"Here's a bucket policy that grants read-only access to a specific IAM role, scoped to a single prefix:\\n\\n```json\\n{\\n \\\"Version\\\": \\\"2012-10-17\\\",\\n \\\"Statement\\\": [\\n {\\n \\\"Sid\\\": \\\"AllowRoleReadOnlyOnPrefix\\\",\\n \\\"Effect\\\": \\\"Allow\\\",\\n \\\"Principal\\\": {\\n \\\"AWS\\\": \\\"arn:aws:iam::ACCOUNT_ID:role/ROLE_NAME\\\"\\n },\\n \\\"Action\\\": [\\n \\\"s3:GetObject\\\",\\n \\\"s3:GetObjectVersion\\\"\\n ],\\n \\\"Resource\\\": \\\"arn:aws:s3:::BUCKET_NAME/PREFIX/*\\\"\\n },\\n {\\n \\\"Sid\\\": \\\"AllowRoleListOnPrefix\\\",\\n \\\"Effect\\\": \\\"Allow\\\",\\n \\\"Principal\\\": {\\n \\\"AWS\\\": \\\"arn:aws:iam::ACCOUNT_ID:role/ROLE_NAME\\\"\\n },\\n \\\"Action\\\": \\\"s3:ListBucket\\\",\\n \\\"Resource\\\": \\\"arn:aws:s3:::BUCKET_NAME\\\",\\n \\\"Condition\\\": {\\n \\\"StringLike\\\": {\\n \\\"s3:prefix\\\": [\\\"PREFIX/*\\\"]\\n }\\n }\\n }\\n ]\\n}\\n```\\n\\n**Fill in:**\\n- `ACCOUNT_ID` \\u2014 the account that owns the IAM role\\n- `ROLE_NAME` \\u2014 the exact role name (or use the role's full ARN if it lives in a different account)\\n- `BUCKET_NAME` \\u2014 your bucket name\\n- `PREFIX` \\u2014 the folder/prefix path, e.g. `data/reports`\\n\\n**Notes on the two statements:**\\n- The first statement (`s3:GetObject`) controls actually reading object contents \\u2014 scoped to `bucket/prefix/*`.\\n- The second statement (`s3:ListBucket`) is applied at the *bucket* level (not the prefix) because `ListBucket` is a bucket-level API \\u2014 the `s3:prefix` condition restricts what the role can list to just that prefix. Without this, the role can read objects it already knows the key for, but can't browse/list the prefix in the console or via `aws s3 ls`.\\n\\nA couple of things worth double-checking on your end:\\n- If the bucket has an existing bucket policy, you'll want to merge these statements into it rather than overwrite it.\\n- If the role's own IAM permissions (identity-based policy) don't already allow `s3:GetObject`/`s3:ListBucket` on this bucket, you may need to grant those there too \\u2014 bucket policies and identity policies are both evaluated, and access requires both to allow (unless it's cross-account, where only the resource policy grants and the identity policy just needs to not deny).\\n\\nWant me to check whether this bucket already has a policy attached, so we merge instead of overwrite?\"}]}", + "createdAt": "2026-09-29T10:00:32.906000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-severity-definitions/with_skill/functional-tests-results.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-severity-definitions/with_skill/functional-tests-results.json new file mode 100644 index 00000000..681a0e81 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-severity-definitions/with_skill/functional-tests-results.json @@ -0,0 +1,80 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "cloudtrail-cost-severity-definitions", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "passed", + "message": "Skill 'cloudtrail-cost-optimization' was triggered as expected", + "skill_loads_found": 1 + }, + "expected_output": { + "result": "passed", + "reasoning": "The agent's response lists the five severity levels in the exact order expected: CRITICAL, HIGH, MEDIUM, LOW, INFO, from most to least urgent, matching the expected output description.", + "evidence": "\"1. **CRITICAL** ... 2. **HIGH** ... 3. **MEDIUM** ... 4. **LOW** ... 5. **INFO** ...\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "lists CRITICAL", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'CRITICAL'" + }, + { + "text": "lists HIGH", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'HIGH'" + }, + { + "text": "lists MEDIUM", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'MEDIUM'" + }, + { + "text": "lists LOW", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'LOW'" + }, + { + "text": "lists INFO", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'INFO'" + }, + { + "text": "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)", + "evaluator": "llm", + "passed": true, + "evidence": "The response lists: '1. CRITICAL ... 2. HIGH ... 3. MEDIUM ... 4. LOW ... 5. INFO' which is ordered from most to least urgent, with CRITICAL first and INFO last.", + "reasoning": "The output explicitly enumerates the five severity levels in descending order of urgency, starting with CRITICAL and ending with INFO, satisfying the assertion.", + "confidence": "high" + } + ], + "summary": { + "passed": 6, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 6, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "4s", + "cost": "$0.04", + "context_window": { + "utilization": "4.4%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-severity-definitions/with_skill/outputs/journal_records.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-severity-definitions/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..576aed3e --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-severity-definitions/with_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "8b2682c7-4d9d-498d-b971-446e43d6f12e", + "executionId": "72c674a6-98aa-4af5-90ef-22ddb6261454", + "recordId": "a9357e13-4b04-4d99-a048-3fb8dc9757bc", + "content": "{\"id\": \"a9357e13-4b04-4d99-a048-3fb8dc9757bc\", \"role\": \"user\", \"content\": [{\"text\": \"List the five severity levels the AWS CloudTrail cost optimization skill uses for its findings, in order from most to least urgent. No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:24.382000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "8b2682c7-4d9d-498d-b971-446e43d6f12e", + "executionId": "72c674a6-98aa-4af5-90ef-22ddb6261454", + "recordId": "e43bcc88-415a-449f-b96a-44bdaf1a7706", + "content": "{\"id\": \"20306fd9-749b-4175-bb4c-85641d8aa234\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"CloudTrail cost optimization severity levels\"}]}", + "createdAt": "2026-09-29T09:58:25.045000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "8b2682c7-4d9d-498d-b971-446e43d6f12e", + "executionId": "72c674a6-98aa-4af5-90ef-22ddb6261454", + "recordId": "66ced366-350b-4f1f-8c00-404b16ba0c8f", + "content": "{\"id\": \"66ced366-350b-4f1f-8c00-404b16ba0c8f\", \"role\": \"assistant\", \"content\": [{\"id\": \"tooluse_2w53fWQXGkqvx8S1JeuhZF\", \"tool_name\": \"skill_read\", \"input\": {\"skill_id\": \"cloudtrail-cost-optimization\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:30.750000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "8b2682c7-4d9d-498d-b971-446e43d6f12e", + "executionId": "72c674a6-98aa-4af5-90ef-22ddb6261454", + "recordId": "f138c2eb-06d8-4e02-bb81-e48530bff229", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:58:30.837000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "8b2682c7-4d9d-498d-b971-446e43d6f12e", + "executionId": "72c674a6-98aa-4af5-90ef-22ddb6261454", + "recordId": "b2e026c5-060d-4f27-a2a0-c695e4e14d0a", + "content": "{\"id\": \"b69b6667-246f-4424-b49a-b463f8e80528\", \"role\": \"assistant\", \"block_type\": \"load_skill\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_2w53fWQXGkqvx8S1JeuhZF\", \"status\": \"success\", \"content\": [{\"text\": \"Done\"}]}], \"label\": \"Read the CloudTrail cost optimization skill instructions\"}", + "createdAt": "2026-09-29T09:58:30.930000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "8b2682c7-4d9d-498d-b971-446e43d6f12e", + "executionId": "72c674a6-98aa-4af5-90ef-22ddb6261454", + "recordId": "f1b9045f-68bc-4435-93f8-602d621d42b4", + "content": "{\"id\": \"f1b9045f-68bc-4435-93f8-602d621d42b4\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_2w53fWQXGkqvx8S1JeuhZF\", \"content\": \"[{'text': '{\\\"content\\\": \\\"---\\\\\\\\nname: cloudtrail-cost-optimization\\\\\\\\ndescription: Identify and quantify AWS CloudTrail cost optimization opportunities.\\\\\\\\n Use this skill when a user asks to reduce, review, audit, or optimize CloudTrail\\\\\\\\n spend, or reports an unexpected CloudTrail cost or usage increase. Activate on\\\\\\\\n requests like \\\\\\\\\\\"why is my CloudTrail bill so high\\\\\\\\\\\", \\\\\\\\\\\"reduce CloudTrail costs\\\\\\\\\\\",\\\\\\\\n \\\\\\\\\\\"find duplicate CloudTrail trails\\\\\\\\\\\", \\\\\\\\\\\"CloudTrail cost review\\\\\\\\\\\", \\\\\\\\\\\"optimize CloudTrail\\\\\\\\n Lake\\\\\\\\\\\", or \\\\\\\\\\\"CloudTrail data events are expensive\\\\\\\\\\\". This skill analyzes trails,\\\\\\\\n event selectors, and CloudTrail Lake event data stores through read-only AWS APIs\\\\\\\\n to surface duplicate management-event trails, unnecessary read events, high-volume\\\\\\\\n noise events (KMS, RDS Data API), overly broad data event logging, and Lake\\\\\\\\n ingestion/retention waste, producing a severity-ranked report of savings.\\\\\\\\nmetadata:\\\\\\\\n author: holmalla\\\\\\\\n version: \\\\\\\\\\\"1.1.0\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.agent-types: \\\\\\\\\\\"Chat tasks, Evaluation\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.aws-services: \\\\\\\\\\\"AWS CloudTrail\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.technical-domains: \\\\\\\\\\\"Security, Cost Optimization\\\\\\\\\\\"\\\\\\\\n---\\\\\\\\n\\\\\\\\n# AWS CloudTrail Cost Optimization\\\\\\\\n\\\\\\\\nIdentify, quantify, and prioritize AWS CloudTrail cost optimization opportunities\\\\\\\\naligned with [Managing CloudTrail trail costs](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-trail-manage-costs.html)\\\\\\\\nand [CloudTrail pricing](https://aws.amazon.com/cloudtrail/pricing/).\\\\\\\\n\\\\\\\\nThis skill uses **read-only CloudTrail, CloudWatch, S3, and Organizations APIs\\\\\\\\nonly**. It never creates, updates, or deletes a trail, event data store, or event\\\\\\\\nselector \\\\\\\\u2014 all remediation is delivered as recommendations for a human to review\\\\\\\\nand apply. It does not read the content of any logged event.\\\\\\\\n\\\\\\\\n## When to Use\\\\\\\\n\\\\\\\\nActivate this skill when the user asks to:\\\\\\\\n- Reduce or optimize AWS CloudTrail costs\\\\\\\\n- Investigate an unexpected CloudTrail cost or usage spike\\\\\\\\n- Find duplicate or redundant trails across accounts/regions\\\\\\\\n- Review event selectors, data event logging, or CloudTrail Lake spend\\\\\\\\n- Perform a CloudTrail cost review or FinOps assessment\\\\\\\\n\\\\\\\\n## How CloudTrail Billing Works\\\\\\\\n\\\\\\\\nThe pricing model is the foundation of every finding below. The essentials:\\\\\\\\n\\\\\\\\n- **Management events**: the first copy per Region is **free**; every additional\\\\\\\\n copy is billed. Duplicate management-event trails are the most common overspend.\\\\\\\\n- **Data events**: **every** copy is billed, including the first \\\\\\\\u2014 there is no free\\\\\\\\n copy. The lever is narrowing scope, not de-duplication.\\\\\\\\n- **CloudTrail Lake**: billed per GB ingested and per GB-month stored, depending on\\\\\\\\n the event data store\\\\'s pricing option and retention.\\\\\\\\n- **S3 log storage**: standard S3 storage on the destination bucket.\\\\\\\\n\\\\\\\\nFor the full charge-by-charge table and the detailed billing consequences the checks\\\\\\\\nrely on, load [references/billing-model.md](references/billing-model.md) when you need\\\\\\\\nto decide whether a specific trail copy is free or paid, or to explain a charge.\\\\\\\\n\\\\\\\\n## Workflow\\\\\\\\n\\\\\\\\nWork through these steps in order \\\\\\\\u2014 each depends on the output of the one before it.\\\\\\\\n\\\\\\\\n- [ ] **Step 1: Identify target scope.** Ask the user which accounts and Regions to\\\\\\\\n review, and whether the account is a standalone account, an Organizations\\\\\\\\n management/delegated-administrator account, or a member account. Accept specific\\\\\\\\n account IDs and Regions, \\\\\\\\\\\"all regions\\\\\\\\\\\" for a given account, or \\\\\\\\\\\"organization\\\\\\\\\\\" to\\\\\\\\n reason about org-wide trail duplication. If no scope is given, default to the\\\\\\\\n current account across all Regions, and set the CloudWatch/usage analysis window to\\\\\\\\n the last 30 days unless the user specifies a different range.\\\\\\\\n\\\\\\\\n- [ ] **Step 2: Inventory trails and event data stores.** Collect the complete trail\\\\\\\\n and CloudTrail Lake inventory using read-only APIs, and capture each trail\\\\'s scope,\\\\\\\\n logging state, destination, and event-selector configuration. For the exact API\\\\\\\\n calls to make, what each returns, and the per-trail fields to record, load\\\\\\\\n [references/api-inventory.md](references/api-inventory.md). For organization scope,\\\\\\\\n also determine how many member accounts an Organizations trail replicates into.\\\\\\\\n\\\\\\\\n- [ ] **Step 3: Collect usage and volume signals.** CloudTrail does not publish\\\\\\\\n per-trail event counts as a first-class metric, so combine these signals to size\\\\\\\\n each opportunity:\\\\\\\\n - **CloudWatch `AWS/CloudTrail` usage metrics** (via `cloudwatch.GetMetricData`)\\\\\\\\n where available, to trend delivered event volume over the window.\\\\\\\\n - **S3 destination bucket size** (`s3.ListObjectsV2` / CloudWatch `BucketSizeBytes`)\\\\\\\\n as a proxy for relative trail volume when trails write to distinct buckets/prefixes.\\\\\\\\n - **CloudTrail Lake** event data store size and retention from `GetEventDataStore`.\\\\\\\\n - **Cost Explorer** (`ce.GetCostAndUsage`, filtered to the `AWSCloudTrail` service,\\\\\\\\n grouped by `USAGE_TYPE`) to attribute spend to `PaidEventsRecorded`, data events,\\\\\\\\n and Lake usage types. This is the most direct dollar signal \\\\\\\\u2014 prefer it when the\\\\\\\\n role has Cost Explorer access.\\\\\\\\n\\\\\\\\n If neither Cost Explorer nor usage metrics are available, still report the\\\\\\\\n configuration findings (duplicates, read events, data event scope) and label the\\\\\\\\n dollar impact as \\\\\\\\\\\"not quantified \\\\\\\\u2014 enable Cost Explorer for sizing\\\\\\\\\\\".\\\\\\\\n\\\\\\\\n- [ ] **Step 4: Analyze cost optimization opportunities.** Evaluate every trail and\\\\\\\\n event data store against the seven opportunity checks (\\\\\\\\u00a74.1 duplicate\\\\\\\\n management-event trails, \\\\\\\\u00a74.2 unneeded Read events, \\\\\\\\u00a74.3 high-volume noise events,\\\\\\\\n \\\\\\\\u00a74.4 overly broad data events, \\\\\\\\u00a74.5 Lake spend, \\\\\\\\u00a74.6 S3 hygiene, \\\\\\\\u00a74.7 idle trails).\\\\\\\\n Load [references/opportunities.md](references/opportunities.md) for the full check\\\\\\\\n definitions, severity guidance, and the critical **dedup-vs-filtering interaction\\\\\\\\n rule** (never stack a management-event filtering saving on top of a dedup saving \\\\\\\\u2014\\\\\\\\n see \\\\\\\\u00a74.1 and \\\\\\\\u00a74.3 preconditions). Assign each finding a severity (CRITICAL, HIGH,\\\\\\\\n MEDIUM, LOW, INFO) and, where a usage or cost signal exists, an estimated monthly\\\\\\\\n saving.\\\\\\\\n\\\\\\\\n- [ ] **Step 5: Validate findings.** Before writing the report, self-check the\\\\\\\\n findings: confirm no finding double-counts savings already captured by a \\\\\\\\u00a74.1 dedup,\\\\\\\\n verify each management-event filtering finding applies only to a paid copy that is\\\\\\\\n being kept (not the free authoritative trail), and confirm each dollar estimate\\\\\\\\n traces to a cited usage or cost signal. Drop or re-label any finding that fails\\\\\\\\n these checks.\\\\\\\\n\\\\\\\\n- [ ] **Step 6: Generate report.** Produce a shareable Markdown report artifact\\\\\\\\n following the structure, section order, and table schemas in\\\\\\\\n [assets/report-template.md](assets/report-template.md). Load that template when\\\\\\\\n generating the report.\\\\\\\\n\\\\\\\\n## Severity Definitions\\\\\\\\n\\\\\\\\n| Severity | Definition | SLA |\\\\\\\\n|----------|------------|-----|\\\\\\\\n| CRITICAL | Runaway cost (e.g. multiple duplicated data-event trails) causing large ongoing overspend | Fix within 24\\\\\\\\u201348 hours |\\\\\\\\n| HIGH | Clear, sizable recurring saving (duplicate management trails, broad data events) | Fix within 1 week |\\\\\\\\n| MEDIUM | Notable saving (read events, KMS/RDS noise, Lake tuning) | Plan within 30 days |\\\\\\\\n| LOW | Minor saving or hygiene (S3 lifecycle) | Address when convenient |\\\\\\\\n| INFO | Observation, no direct charge | N/A |\\\\\\\\n\\\\\\\\n## Safety and Boundaries\\\\\\\\n\\\\\\\\n- **Read-only.** The skill calls only `Describe*`, `Get*`, `List*` APIs. It never\\\\\\\\n calls `CreateTrail`, `UpdateTrail`, `DeleteTrail`, `PutEventSelectors`,\\\\\\\\n `StopLogging`, or any Lake mutation.\\\\\\\\n- **Compliance first.** Before recommending disabling a trail, dropping Read events,\\\\\\\\n or excluding KMS/RDS events, state the audit/compliance tradeoff. Never recommend\\\\\\\\n reducing the single authoritative security trail below the organization\\\\'s logging\\\\\\\\n requirements. When in doubt, recommend converting a duplicate to\\\\\\\\n data-events-only rather than deleting it.\\\\\\\\n- **Proposed changes are suggestions.** Every recommendation is for a human to review\\\\\\\\n and apply. Do not apply an event-selector or trail change you have not surfaced for\\\\\\\\n review.\\\\\\\\n\\\\\\\\n## Known Quirks\\\\\\\\n\\\\\\\\n- The **first copy of management events per Region is free** \\\\\\\\u2014 do not flag a single\\\\\\\\n management trail per Region as a duplicate, and do not recommend KMS/RDS or Read-event\\\\\\\\n exclusions on it. Because that copy is free, filtering it saves nothing on management\\\\\\\\n events while removing those events from the only trail that captures them \\\\\\\\u2014 a coverage\\\\\\\\n gap disguised as a saving. Management-event filtering is only a saving on a *paid*\\\\\\\\n (second-or-later) copy the customer keeps.\\\\\\\\n- **De-duplication and management-event filtering are mutually exclusive on the same\\\\\\\\n copy.** Recommending \\\\\\\\\\\"delete the duplicate trail\\\\\\\\\\\" and \\\\\\\\\\\"exclude KMS/RDS on the\\\\\\\\n surviving trail\\\\\\\\\\\" together is a contradiction: after dedup the survivor is the free\\\\\\\\n copy, so the exclusion saves ~$0 and blows a hole in coverage. Choose one path (see\\\\\\\\n \\\\\\\\u00a74.1 Interaction rule) and never stack the two savings.\\\\\\\\n- **Data events have no free copy** \\\\\\\\u2014 even a single data-event trail is billed; the\\\\\\\\n opportunity there is scope, not de-duplication.\\\\\\\\n- CloudTrail does not expose reliable per-trail event counts; rely on Cost Explorer\\\\\\\\n usage types and S3 bucket size as volume proxies, and clearly label estimates as\\\\\\\\n approximate.\\\\\\\\n- Organizations trails appear as **shadow trails** in member accounts \\\\\\\\u2014 set\\\\\\\\n `includeShadowTrails=true` and do not double-count them as member-created duplicates.\\\\\\\\n\\\", \\\"resource_manifest\\\": [\\\"SKILL.md\\\", \\\"references/opportunities.md\\\", \\\"references/billing-model.md\\\", \\\"references/api-inventory.md\\\", \\\"assets/report-template.md\\\"]}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:35.662000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "8b2682c7-4d9d-498d-b971-446e43d6f12e", + "executionId": "72c674a6-98aa-4af5-90ef-22ddb6261454", + "recordId": "46545da5-f261-473b-856b-f55f39b44846", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 4.4, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:58:35.732000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "8b2682c7-4d9d-498d-b971-446e43d6f12e", + "executionId": "72c674a6-98aa-4af5-90ef-22ddb6261454", + "recordId": "d8ba1ebd-8fd8-41ba-9213-f80b6aead836", + "content": "{\"id\": \"d8ba1ebd-8fd8-41ba-9213-f80b6aead836\", \"role\": \"assistant\", \"content\": [{\"text\": \"The five severity levels, from most to least urgent, are:\\n\\n1. **CRITICAL** \\u2014 Runaway cost causing large ongoing overspend (fix within 24\\u201348 hours)\\n2. **HIGH** \\u2014 Clear, sizable recurring saving (fix within 1 week)\\n3. **MEDIUM** \\u2014 Notable saving (plan within 30 days)\\n4. **LOW** \\u2014 Minor saving or hygiene issue (address when convenient)\\n5. **INFO** \\u2014 Observation with no direct charge (no SLA)\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:35.826000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "8b2682c7-4d9d-498d-b971-446e43d6f12e", + "executionId": "72c674a6-98aa-4af5-90ef-22ddb6261454", + "recordId": "6cdcf059-1bc1-4faa-9185-6784348a37e1", + "content": "{\"id\": \"5a685a3a-b514-481d-b12f-b91e0b78cd19\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"The five severity levels, from most to least urgent, are:\\n\\n1. **CRITICAL** \\u2014 Runaway cost causing large ongoing overspend (fix within 24\\u201348 hours)\\n2. **HIGH** \\u2014 Clear, sizable recurring saving (fix within 1 week)\\n3. **MEDIUM** \\u2014 Notable saving (plan within 30 days)\\n4. **LOW** \\u2014 Minor saving or hygiene issue (address when convenient)\\n5. **INFO** \\u2014 Observation with no direct charge (no SLA)\"}]}", + "createdAt": "2026-09-29T09:58:35.919000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-severity-definitions/without_skill/functional-tests-results.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-severity-definitions/without_skill/functional-tests-results.json new file mode 100644 index 00000000..4b41f56d --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-severity-definitions/without_skill/functional-tests-results.json @@ -0,0 +1,76 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "cloudtrail-cost-severity-definitions", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "failed", + "reasoning": "The expected output requires the agent to list the five severity levels CRITICAL, HIGH, MEDIUM, LOW, INFO in order from most to least urgent. The agent's actual response instead claims it does not have access to such a skill and fails to provide any severity levels at all. This does not meet the expected criteria.", + "evidence": "\"I don't have a skill specifically called \\\"AWS CloudTrail cost optimization\\\" in my available skill catalog, so I can't pull severity levels from it.\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "lists CRITICAL", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + }, + { + "text": "lists HIGH", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + }, + { + "text": "lists MEDIUM", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + }, + { + "text": "lists LOW", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + }, + { + "text": "lists INFO", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + }, + { + "text": "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)", + "evaluator": "llm", + "passed": false, + "evidence": "The agent's response states: \"I don't have a skill specifically called 'AWS CloudTrail cost optimization' in my available skill catalog, so I can't pull severity levels from it.\" No severity levels (e.g., CRITICAL, HIGH, MEDIUM, LOW, INFO) are listed anywhere in the output.", + "reasoning": "The assertion requires the five severity levels to be listed in order from most to least urgent, starting with CRITICAL and ending with INFO. The agent explicitly declined to answer, stating it does not have access to the relevant skill, and provided no severity levels at all. Therefore the assertion is not satisfied.", + "confidence": "high" + } + ], + "summary": { + "passed": 0, + "failed": 6, + "errored": 0, + "low_confidence": 0, + "total": 6, + "pass_rate": 0.0 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.6%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-severity-definitions/without_skill/outputs/journal_records.json b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-severity-definitions/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..50aba56b --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/functional/v1/iteration-1/cloudtrail-cost-severity-definitions/without_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "f3cbd49c-fb9c-4ae8-98dc-f27b5c93fdac", + "executionId": "5bb41fb7-8d99-498e-aacc-0d88ff4a3625", + "recordId": "0fb6fbca-1188-469f-9d20-d87dd883dad2", + "content": "{\"id\": \"0fb6fbca-1188-469f-9d20-d87dd883dad2\", \"role\": \"user\", \"content\": [{\"text\": \"List the five severity levels the AWS CloudTrail cost optimization skill uses for its findings, in order from most to least urgent. No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:23.013000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "f3cbd49c-fb9c-4ae8-98dc-f27b5c93fdac", + "executionId": "5bb41fb7-8d99-498e-aacc-0d88ff4a3625", + "recordId": "6394a2b4-e19d-4691-841f-3d243828a3ab", + "content": "{\"id\": \"5662d603-a4e8-4b94-bc6a-0f510255994d\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"CloudTrail cost optimization finding severity levels\"}]}", + "createdAt": "2026-09-29T09:58:23.521000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "f3cbd49c-fb9c-4ae8-98dc-f27b5c93fdac", + "executionId": "5bb41fb7-8d99-498e-aacc-0d88ff4a3625", + "recordId": "45f323fd-1b77-4ed3-8a9f-6b007225e968", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:58:31.801000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "f3cbd49c-fb9c-4ae8-98dc-f27b5c93fdac", + "executionId": "5bb41fb7-8d99-498e-aacc-0d88ff4a3625", + "recordId": "16d7e331-7858-47fe-ad66-4ae994a71ca7", + "content": "{\"id\": \"16d7e331-7858-47fe-ad66-4ae994a71ca7\", \"role\": \"assistant\", \"content\": [{\"text\": \"I don't have a skill specifically called \\\"AWS CloudTrail cost optimization\\\" in my available skill catalog, so I can't pull severity levels from it.\\n\\nTo be clear about what I actually have access to: none of my skills (recommendations, investigations, release-manager, etc.) are scoped to CloudTrail cost optimization findings specifically. If you're thinking of a different name or this is a custom/remote skill in your agent space, let me know and I can check.\\n\\nIs there something else I can help with \\u2014 like reviewing CloudTrail-related recommendations if any exist in your agent space?\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:58:31.902000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "f3cbd49c-fb9c-4ae8-98dc-f27b5c93fdac", + "executionId": "5bb41fb7-8d99-498e-aacc-0d88ff4a3625", + "recordId": "eed21705-c480-4c9d-b7c2-4b5de895dc4e", + "content": "{\"id\": \"03128cee-4a54-416a-b8cd-9893ce48dfc8\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"I don't have a skill specifically called \\\"AWS CloudTrail cost optimization\\\" in my available skill catalog, so I can't pull severity levels from it.\\n\\nTo be clear about what I actually have access to: none of my skills (recommendations, investigations, release-manager, etc.) are scoped to CloudTrail cost optimization findings specifically. If you're thinking of a different name or this is a custom/remote skill in your agent space, let me know and I can check.\\n\\nIs there something else I can help with \\u2014 like reviewing CloudTrail-related recommendations if any exist in your agent space?\"}]}", + "createdAt": "2026-09-29T09:58:31.978000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/evals/structure/structure-tests-results-v1.json b/skills/cloudtrail-cost-optimization/evals/structure/structure-tests-results-v1.json new file mode 100644 index 00000000..c0a6640c --- /dev/null +++ b/skills/cloudtrail-cost-optimization/evals/structure/structure-tests-results-v1.json @@ -0,0 +1,101 @@ +{ + "version": 1, + "timestamp": "2026-09-29T13:56:47Z", + "test_type": "structure", + "passing_score": 100, + "score": 100, + "result": "passed", + "summary": { + "total": 12, + "passed": 12, + "failed": 0, + "skipped": 0, + "warning": 0 + }, + "tests": [ + { + "id": "STRUCT-01", + "name": "SKILL.md file exists", + "result": "passed", + "message": "SKILL.md file exists", + "agent_skills_spec_reference": "https://agentskills.io/specification#directory-structure" + }, + { + "id": "STRUCT-02", + "name": "Valid YAML frontmatter", + "result": "passed", + "message": "Valid YAML frontmatter found", + "agent_skills_spec_reference": "https://agentskills.io/specification#skill-md-format" + }, + { + "id": "STRUCT-03", + "name": "Required name field present", + "result": "passed", + "message": "Required field 'name' is present", + "agent_skills_spec_reference": "https://agentskills.io/specification#frontmatter" + }, + { + "id": "STRUCT-04", + "name": "Required description field present", + "result": "passed", + "message": "Required field 'description' is present", + "agent_skills_spec_reference": "https://agentskills.io/specification#frontmatter" + }, + { + "id": "STRUCT-05", + "name": "name format (1-64 chars, lowercase alphanumeric + hyphens)", + "result": "passed", + "message": "name field format is valid: 'cloudtrail-cost-optimization'", + "agent_skills_spec_reference": "https://agentskills.io/specification#name-field" + }, + { + "id": "STRUCT-06", + "name": "name matches parent directory name", + "result": "passed", + "message": "name 'cloudtrail-cost-optimization' matches directory name 'cloudtrail-cost-optimization'", + "agent_skills_spec_reference": "https://agentskills.io/specification#name-field" + }, + { + "id": "STRUCT-07", + "name": "description is 1-1024 characters", + "result": "passed", + "message": "description field length is valid (783 characters)", + "agent_skills_spec_reference": "https://agentskills.io/specification#description-field" + }, + { + "id": "STRUCT-08", + "name": "license (if present) is a non-empty string", + "result": "passed", + "message": "Field not present (optional)", + "agent_skills_spec_reference": "https://agentskills.io/specification#license-field" + }, + { + "id": "STRUCT-09", + "name": "compatibility (if present) is 1-500 characters", + "result": "passed", + "message": "Field not present (optional)", + "agent_skills_spec_reference": "https://agentskills.io/specification#compatibility-field" + }, + { + "id": "STRUCT-10", + "name": "metadata (if present) is string\u2192string map", + "result": "passed", + "message": "metadata field is valid", + "agent_skills_spec_reference": "https://agentskills.io/specification#metadata-field" + }, + { + "id": "STRUCT-11", + "name": "allowed-tools (if present) is a non-empty string", + "result": "passed", + "message": "Field not present (optional)", + "agent_skills_spec_reference": "https://agentskills.io/specification#allowed-tools-field" + }, + { + "id": "STRUCT-12", + "name": "Body is under 500 lines", + "result": "passed", + "message": "SKILL.md body is 141 lines (within 500 line limit)", + "agent_skills_spec_reference": "https://agentskills.io/specification#progressive-disclosure" + } + ] +} \ No newline at end of file diff --git a/skills/cloudtrail-cost-optimization/references/api-inventory.md b/skills/cloudtrail-cost-optimization/references/api-inventory.md new file mode 100644 index 00000000..049cdfa6 --- /dev/null +++ b/skills/cloudtrail-cost-optimization/references/api-inventory.md @@ -0,0 +1,31 @@ +# Trail & Event Data Store Inventory APIs + +Reference for the exact read-only API calls used to inventory trails and CloudTrail +Lake event data stores. Load this during Step 2 (Inventory) when you need the precise +API names and what each returns. + +All calls are read-only (`Describe*`, `Get*`, `List*`). + +``` +cloudtrail.DescribeTrails (includeShadowTrails=true) # all trails visible in the Region, + # including multi-Region shadow copies +cloudtrail.GetTrailStatus # is the trail logging? IsLogging +cloudtrail.GetTrail # per-trail config +cloudtrail.GetEventSelectors # basic + advanced event selectors, + # read/write type, KMS/RDS exclusions, + # data event resource scope +cloudtrail.ListTrails # enumerate across Regions +cloudtrail.ListEventDataStores / GetEventDataStore # CloudTrail Lake stores: pricing + # option, retention period, multi-region, + # org enablement, event category +``` + +For organization scope, use `organizations.DescribeOrganization` and +`organizations.ListAccounts` to understand how many member accounts an Organizations +trail replicates into. + +## What to capture per trail + +Name, ARN, `IsMultiRegionTrail`, `IsOrganizationTrail`, `IsLogging`, home Region, +S3 destination bucket, whether it logs management events (and read/write type), +whether it logs data events (and their scope), and any KMS/RDS Data API exclusion. diff --git a/skills/cloudtrail-cost-optimization/references/billing-model.md b/skills/cloudtrail-cost-optimization/references/billing-model.md new file mode 100644 index 00000000..a4c68a1f --- /dev/null +++ b/skills/cloudtrail-cost-optimization/references/billing-model.md @@ -0,0 +1,33 @@ +# CloudTrail Billing Model + +Reference for how CloudTrail charges accrue. Load this when you need the exact +pricing rules behind a finding — especially when deciding whether a trail copy is +free or paid, or when explaining a charge to the user. + +Sources: +- [Managing CloudTrail trail costs](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-trail-manage-costs.html) +- [CloudTrail pricing](https://aws.amazon.com/cloudtrail/pricing/) + +## What is billed + +| Charge | Billed | Free allowance | +|--------|--------|----------------| +| Management events | Per event delivered to a trail, beyond the first copy per Region | First copy per Region is **free** | +| Data events | Per event delivered — **every** copy is billed, including the first | None | +| Network activity events | Per event delivered | None | +| CloudTrail Lake ingestion | Per GB ingested (pricing depends on the event data store's pricing option) | None | +| CloudTrail Lake storage | Per GB-month beyond the included retention | Varies by pricing option | +| S3 storage of log files | Standard S3 storage on the destination bucket | None | + +## Key consequences + +- A **second copy** of the same management events in a Region always costs money. + A multi-Region trail already covers every Region, so any additional single-Region + trail capturing the same management events is a paid duplicate. +- An **Organizations trail** is replicated into every member account. A member + account that also runs its own trail for the same management events pays for a + second copy. +- **Data events are never free** — narrowing their scope with advanced event + selectors is almost always a direct saving. +- **KMS and RDS Data API events** can dominate management-event volume (e.g. + SSE-KMS on busy S3 buckets), and can be excluded via event selectors. diff --git a/skills/cloudtrail-cost-optimization/references/opportunities.md b/skills/cloudtrail-cost-optimization/references/opportunities.md new file mode 100644 index 00000000..69824f8d --- /dev/null +++ b/skills/cloudtrail-cost-optimization/references/opportunities.md @@ -0,0 +1,105 @@ +# Cost Optimization Opportunity Catalog + +Detailed reference for the seven opportunity checks. Load this during Step 4 +(Analyze) when evaluating each trail and event data store. Assign each finding a +severity (CRITICAL, HIGH, MEDIUM, LOW, INFO) and, wherever a usage or cost signal +exists, an estimated monthly saving. + +## 4.1 Duplicate management-event trails (highest-impact, most common) +Ref: [Troubleshoot CloudTrail cost and usage increases](https://repost.aws/knowledge-center/remove-duplicate-cloudtrail-events) + +- More than one trail delivering **management events** in the same Region → every + copy after the first is billable. Keep one trail (ideally the org or multi-Region + trail) logging management events and turn management event logging **off** on the + duplicates → **HIGH** (frequently the single largest CloudTrail line item; org-wide + de-duplication can cut CloudTrail spend substantially). +- A **multi-Region trail plus an additional single-Region trail** capturing the same + management events → the single-Region trail is a paid duplicate → **HIGH**. +- A **member account trail** duplicating the management events already captured by an + **Organizations trail** → **HIGH**. +- Report which trail to keep (prefer the broadest-scope, org/multi-Region, actively + logging trail) and which to convert to data-events-only or disable. + +> **Interaction rule — dedup changes what the surviving trail is.** Once you +> de-duplicate down to a single management-event trail, that trail's management events +> become the **free first copy** for the Region (see §4.3 and Known Quirks). This has +> two consequences you MUST reflect when the dedup finding and a +> §4.2/§4.3 filtering finding both apply to the same account: +> 1. **Do not also recommend excluding KMS/RDS or dropping Read events on the +> surviving sole trail.** After dedup there is no paid copy left to trim — the +> filtering saves ~$0 on management events, and it would leave **no trail anywhere** +> capturing those events, which is a coverage/audit gap, not an optimization. +> 2. Exclusion and Read-only trimming (§4.2, §4.3) are only valid on a **paid copy you +> are deliberately keeping** (e.g. a second trail retained for a distinct +> consumer). If you are not keeping a second copy, the §4.1 dedup captures the +> entire management-event saving on its own — do not double-count a filtering +> saving on top of it. +> +> When both a dedup finding and a filtering finding surface, pick **one** path and say +> so explicitly: either (a) keep a single free authoritative trail and drop the +> filtering findings as inapplicable, or (b) keep a paid second copy for a stated +> reason and apply filtering to that paid copy only. Never present (a) and the +> filtering findings as an additive stack of savings. + +## 4.2 Read management events that aren't needed +Ref: [Optimize CloudTrail costs and maintain compliance](https://repost.aws/knowledge-center/optimize-cloudtrail-compliance) + +- A **paid** (non-free-copy) trail logging **Read** management events when the use + case only needs Write events → drop Read events → **MEDIUM**. (The free first copy + can safely log both; this applies to the duplicate/paid copies.) + +## 4.3 High-volume noise events +Ref: [Controlling CloudTrail costs using KMS event filtering](https://aws.amazon.com/blogs/aws-cost-management/launch-controlling-aws-cloudtrail-costs-using-aws-kms-event-filtering/) + +- A **paid** trail (a second-or-later copy of management events in the Region) not + excluding **AWS KMS** events on accounts with heavy SSE-KMS usage (busy S3, EBS, + Secrets Manager) → KMS events can dominate volume → exclude via event selectors → + **MEDIUM**. +- A **paid** trail not excluding **RDS Data API** events on accounts using the Data + API heavily → exclude → **MEDIUM**. +- **Precondition — a paid copy must actually exist and be kept.** Management-event + filtering only saves money on a *billable* copy. The **first copy of management + events per Region is free**, so excluding KMS/RDS from the single authoritative + trail saves **nothing** on management events. Never recommend KMS/RDS exclusion on: + - the single authoritative trail, or + - a trail that will *become* the single authoritative trail after a §4.1 dedup. + + Excluding events there does not reduce cost and **removes those events from the only + place that captures them** — a security/audit coverage gap. If the account has just + one management-event trail, this finding does **not** apply; report it as + inapplicable rather than as a saving. Only surface it when the customer is + deliberately keeping a paid second copy, and then scope the exclusion to that paid + copy alone, leaving the authoritative trail complete. + +## 4.4 Overly broad data event logging +Ref: [Filtering data events with advanced event selectors](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/filtering-data-events.html) + +- Data events logged for **all** S3 buckets / Lambda functions / DynamoDB tables + when only a subset is security-relevant → every data event delivery is billed → + narrow with advanced event selectors (by `resources.ARN`, `eventName`, or + `readOnly`) → **HIGH** when data event volume is large. +- The **same data events delivered by multiple trails** → each delivery is billed + separately (no free copy for data events) → consolidate → **HIGH**. + +## 4.5 CloudTrail Lake spend +Ref: [Managing CloudTrail Lake costs](https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-lake-manage-costs.html) + +- An event data store's **pricing option** mismatched to its query pattern + (one-time-query data ingested on the higher-priced flexible-retention option, or a + frequently queried store on a suboptimal option) → **MEDIUM**. +- **Retention** far longer than the compliance requirement → storage waste → + **MEDIUM**. +- A Lake store capturing the **same events already captured by a trail** with no + distinct query need → duplicate ingestion → **MEDIUM**. + +## 4.6 S3 destination hygiene +Ref: [S3 lifecycle management](https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lifecycle-mgmt.html) + +- The trail's destination S3 bucket has **no lifecycle policy** transitioning old + logs to cheaper tiers (S3 Glacier/Deep Archive) or expiring them → storage grows + unbounded → **LOW**. + +## 4.7 Idle / stopped trails +- A trail with `IsLogging=false` still configured → confirm it is intentional; if + abandoned, delete to reduce management overhead → **INFO** (no direct charge while + stopped, but signals drift). diff --git a/skills/config-cost-optimization/.skilleval.yaml b/skills/config-cost-optimization/.skilleval.yaml new file mode 100644 index 00000000..6af8d707 --- /dev/null +++ b/skills/config-cost-optimization/.skilleval.yaml @@ -0,0 +1,8 @@ +audit: + ignore: + - STR-016 # README alongside SKILL.md is intentional + # Whitelist documentation/blog domains for cost optimization references (won't trigger SEC-002) + safe_domains: + - aws.amazon.com + - docs.aws.amazon.com + - repost.aws diff --git a/skills/config-cost-optimization/CHANGELOG.md b/skills/config-cost-optimization/CHANGELOG.md new file mode 100644 index 00000000..084f913a --- /dev/null +++ b/skills/config-cost-optimization/CHANGELOG.md @@ -0,0 +1,30 @@ +# Changelog + +## [1.2.0] - 2026-09-28 +### Changed +- Restructured the skill for progressive disclosure to fix failing best-practices evals (BP-03, BP-12, BP-16) and the BP-17 warning. The SKILL.md body is now a slim checkbox-checklist workflow; detailed material moved into linked files. +- Converted the Step 1–5 workflow to a `- [ ] Step N` checklist and added a dedicated **Step 5: Validate findings** self-check (traceable savings, stated compliance tradeoffs, no unconfirmed conformance-pack merges, no mutations) before report generation. +### Added +- `references/billing-model.md` (charge components and continuous-vs-daily pricing), `references/data-collection.md` (inventory APIs and cost signals), and `references/opportunities.md` (the full Step 4.1–4.8 checks including the conformance-pack overlap decision tree). +- `assets/report-template.md` holding the report structure and table schemas, linked from Step 6. +- Migrated `evals/evals.json` to the current schema and added a file-independent, + uplift-oriented functional eval suite (6 scenarios incl. conformance-pack overlap, + standalone-vs-pack, and a negative-trigger case). Best-practices, structure, and + functional eval results all pass (best-practices 100/100). + +## [1.1.0] - 2026-09-28 +### Changed +- Rewrote §4.5/§4.6 to be prescriptive about conformance-pack overlap. Overlapping packs (e.g. PCI DSS and NIST 800-53) are treated as intentional dual-attestation, not waste, since AWS Config tracks compliance per pack and maps shared rules to different framework controls. Consolidation/merge is now recommended only when the customer confirms separate per-framework reporting is not required; otherwise the overlap is reported as INFO with a cost ceiling. +- Tightened the standalone-vs-pack duplicate-rule check to require matching source identifier and parameters, and to flag stricter-threshold standalone rules as distinct requirements rather than duplicates. +### Added +- Safety boundary and Known Quirk: never collapse compliance frameworks to save evaluation cost; the lost per-framework attestation is not recoverable. + +## [1.0.0] - 2026-09-24 +### Added +- Initial release of the AWS Config cost optimization skill for AWS DevOps Agent +- Read-only inventory of configuration recorders, recording mode (continuous/daily and per-resource-type overrides), delivery channels, rules, conformance packs, and aggregators +- Cost optimization checks across eight areas: continuous-vs-daily recording frequency mismatch, over-broad `allSupported` recording, duplicate global-resource recording across Regions, high-churn configuration-item drivers, redundant/unnecessary rules, conformance pack efficiency, S3 delivery-bucket lifecycle hygiene, and recorders running with no downstream consumer +- Configuration-item driver attribution via Cost Explorer usage types, Athena-based analysis, or resource-count signals, with estimated monthly savings +- Severity-ranked findings (CRITICAL, HIGH, MEDIUM, LOW, INFO) and a shareable Markdown report artifact named `config-cost-optimization--.md` +- Compliance-aware, read-only guidance — no recorder, rule, or conformance-pack mutations +- Evaluation test cases (5 functional evals, 6 trigger queries) diff --git a/skills/config-cost-optimization/README.md b/skills/config-cost-optimization/README.md new file mode 100644 index 00000000..e813f611 --- /dev/null +++ b/skills/config-cost-optimization/README.md @@ -0,0 +1,82 @@ +# Config Cost Optimization — AWS DevOps Agent Skill + +A read-only AWS Config cost optimization skill for [AWS DevOps Agent](https://docs.aws.amazon.com/devopsagent/latest/userguide/about-aws-devops-agent.html). It identifies, quantifies, and prioritizes AWS Config cost-reduction opportunities aligned with [Optimize AWS Config costs](https://repost.aws/knowledge-center/optimize-aws-config) and [AWS Config pricing](https://aws.amazon.com/config/pricing/), and generates a shareable report artifact. + +## Purpose + +AWS Config bills primarily per configuration item (CI) recorded, plus per rule and conformance-pack evaluation and S3 storage. Costs climb quietly when recorders capture all supported resource types, record global resources in every Region, run continuous recording on high-churn resources that would be cheaper on daily, or evaluate redundant rules. This skill teaches the agent the Config billing model — including the counterintuitive continuous-vs-daily tradeoff — and how to trace spend to specific resource types, recorders, and rules, then recommends compliance-aware reductions. + +## Key Capabilities + +- Inventories configuration recorders, recording mode (continuous/daily and per-resource-type overrides), delivery channels, rules, conformance packs, and aggregators via read-only APIs +- Flags high-churn resource types recorded continuously that would be cheaper on daily recording — and, conversely, avoids blanket daily recommendations for low-churn security-critical types +- Detects over-broad `allSupported` recording and duplicate global-resource recording across Regions (the classic silent CI multiplier) +- Identifies configuration-item drivers using Cost Explorer, Athena-based CI-driver analysis, or resource-count signals +- Flags redundant/unnecessary rules, standalone-vs-conformance-pack overlap, and recorders running with no downstream consumer +- Reviews the delivery S3 bucket for lifecycle hygiene +- Produces a severity-ranked report artifact with a CI-driver table, priority matrix, and next steps + +## Prerequisites + +### 1. An AWS DevOps Agent Space with the target AWS account configured as a cloud source + +### 2. IAM permissions for the DevOps Agent's primary cloud-source role + +Read-only Config, CloudWatch, S3, Organizations, and (recommended) Cost Explorer access: + +- `config:DescribeConfigurationRecorders`, `config:DescribeConfigurationRecorderStatus`, `config:DescribeDeliveryChannels` +- `config:DescribeConfigRules`, `config:DescribeConformancePacks`, `config:DescribeConfigurationAggregators` +- `config:GetDiscoveredResourceCounts` +- `cloudwatch:GetMetricData`, `cloudwatch:GetMetricStatistics` +- `s3:ListBucket`, `s3:GetBucketLifecycleConfiguration` (delivery bucket hygiene) +- `organizations:DescribeOrganization`, `organizations:ListAccounts` (organization scope) +- `ce:GetCostAndUsage` (recommended — the most direct dollar signal for sizing opportunities) +- `athena:StartQueryExecution`, `athena:GetQueryResults` (optional — authoritative CI-driver attribution over Config S3 data) + +Most read APIs are covered by the AWS managed `AIDevOpsAgentAccessPolicy`. `ce:GetCostAndUsage` and the S3 lifecycle read may need to be added — see [`cloudformation/devops-agent-skill-policies.yaml`](../../cloudformation/devops-agent-skill-policies.yaml) (`EnableConfigCostOptimization`). + +The skill operates entirely in **read-only** mode — it never calls `PutConfigurationRecorder`, `StopConfigurationRecorder`, `PutConfigRule`, `DeleteConfigRule`, or any conformance-pack/delivery-channel mutation. + +## Limitations + +- The most accurate CI-driver attribution requires Athena over the Config S3 data; without it, the skill uses resource-count and known-high-churn signals and labels estimates as approximate. +- Without Cost Explorer access, findings are still reported but dollar impact is labeled "not quantified". +- In Control Tower / Organizations environments, recorder settings may be centrally managed and reset on account provisioning — recommendations may need to be applied via the landing-zone customization path. +- Compliance requirements (which resource types must be recorded, and at what frequency) are the user's to confirm; the skill surfaces the tradeoff but does not decide it. + +## Agent Types + +- **On-demand (Chat tasks)** — "why is my Config bill so high", "should I use daily or continuous recording". +- **Evaluation** — proactive cost-optimization recommendations. + +Select **Generic** (All agents) if you want the skill available to all agent types — required if you use it with the `unified-security-cost-optimizer` custom agent. + +## Uploading to AWS DevOps Agent + +> Reference: [Uploading a skill](https://docs.aws.amazon.com/devopsagent/latest/userguide/about-aws-devops-agent-devops-agent-skills.html#uploading-a-skill) + +Build the zip from **inside** the skill directory so `SKILL.md` sits at the archive root, excluding development-only files: + +```bash +cd skills/config-cost-optimization +zip -r ../config-cost-optimization.zip . \ + -x 'README.md' 'CHANGELOG.md' '.skilleval.yaml' '.skilleval.yml' 'evals/*' +``` + +Then in the Operator Web App: **Skills → Add skill → Upload skill**, drag in the zip, select agent types (**On-demand** and **Evaluation**, or **Generic** for the custom agent), review validation, and **Upload**. + +## How to Use This Skill + +In DevOps Agent Chat: + +- *"Review my AWS Config costs for account 123456789012 across all regions."* +- *"Why did my Config bill go up this month?"* +- *"Which resource types are driving my configuration item count?"* +- *"Should I switch to daily Config recording?"* +- *"Am I recording global resources in more than one region?"* + +The agent will inventory the Config setup, attribute CI drivers with any available cost signal, and generate `config-cost-optimization--.md`. + +## Non-production disclaimer + +> ⚠️ This skill is sample code, not intended for production use without additional review and testing. Validate in a non-production environment first. Recommendations are derived from observed configuration and usage — review the compliance impact and narrow them before applying, and never apply a Config change you have not read. diff --git a/skills/config-cost-optimization/SKILL.md b/skills/config-cost-optimization/SKILL.md new file mode 100644 index 00000000..1aec394a --- /dev/null +++ b/skills/config-cost-optimization/SKILL.md @@ -0,0 +1,162 @@ +--- +name: config-cost-optimization +description: Identify and quantify AWS Config cost optimization opportunities. + Use this skill when a user asks to reduce, review, audit, or optimize AWS Config + spend, or reports an unexpected AWS Config cost or configuration-item increase. + Activate on requests like "why is my AWS Config bill so high", "reduce Config + costs", "AWS Config cost review", "my configuration item count spiked", "should I + use daily or continuous Config recording", or "which resources are driving Config + cost". This skill analyzes configuration recorders, recording frequency, recorded + resource types, Config rules, conformance packs, and the delivery S3 bucket through + read-only AWS APIs to surface high-churn configuration-item drivers, continuous-vs- + daily recording mismatches, over-broad resource recording, duplicate global-resource + recording, and redundant rules/conformance packs, producing a severity-ranked report + of savings. +metadata: + author: holmalla + version: "1.2.0" + aws-devops-agent-skills.agent-types: "Chat tasks, Evaluation" + aws-devops-agent-skills.aws-services: "AWS Config" + aws-devops-agent-skills.technical-domains: "Governance, Cost Optimization" +--- + +# AWS Config Cost Optimization + +Identify, quantify, and prioritize AWS Config cost optimization opportunities aligned +with [Optimize AWS Config costs](https://repost.aws/knowledge-center/optimize-aws-config), +[Cost optimization recommendations for AWS Config](https://aws.amazon.com/blogs/mt/cost-optimization-recommendations-for-aws-config/), +and [AWS Config pricing](https://aws.amazon.com/config/pricing/). + +This skill uses **read-only Config, CloudWatch, S3, and Organizations APIs only**. It +never starts, stops, or reconfigures a recorder, rule, or conformance pack — all +remediation is delivered as recommendations for a human to review and apply. + +## When to Use + +Activate this skill when the user asks to: +- Reduce or optimize AWS Config costs +- Investigate an unexpected Config cost or configuration-item (CI) spike +- Decide between continuous and daily recording frequency +- Review which resource types are recorded, or which rules/conformance packs run +- Perform a Config cost review or FinOps assessment + +## How AWS Config Billing Works + +The pricing model is the foundation of every finding below. The essentials: + +- **Configuration items (CIs)** are the dominant cost driver — billed per CI recorded. +- **Recording frequency** sets the CI price and cadence: *continuous* bills a CI for + every change (~$0.003 each); *daily* bills at most one CI per resource per day + (~$0.012 each). For **high-churn** resources, daily is often materially cheaper + despite the higher sticker price; for low-churn resources continuous is usually + cheaper. The right choice is per-resource-type. +- **Config rule** and **conformance pack** evaluations are billed per evaluation. +- **S3 storage** holds configuration history and snapshots in the delivery bucket. + +For the full charge table, per-mode pricing, and the high-churn reasoning the checks +rely on, load [references/billing-model.md](references/billing-model.md) when you need +to decide whether continuous or daily is cheaper for a resource type, or to explain a +charge. + +## Workflow + +Work through these steps in order — each depends on the output of the one before it. + +- [ ] **Step 1: Identify target scope.** Ask the user which accounts and Regions to + review, and whether this is a standalone account, an Organizations + management/delegated-administrator account (aggregator), or a member account. Accept + specific account IDs and Regions, "all regions", or "organization". If no scope is + given, default to the current account across all Regions with a 30-day analysis + window. + +- [ ] **Step 2: Inventory the Config setup.** Collect the recorder, rule, and + conformance-pack inventory per Region using read-only APIs, and capture recording + mode (and per-resource-type overrides), `allSupported`, `includeGlobalResourceTypes` + and how many Regions record globals, the recorded/excluded resource-type lists, rule + and conformance-pack counts, and the delivery bucket. For the exact API calls and + what each returns, load [references/data-collection.md](references/data-collection.md). + +- [ ] **Step 3: Collect cost and volume signals.** Attribute spend and identify the + CI drivers. Prefer Cost Explorer as the dollar signal, use Athena (or + `GetDiscoveredResourceCounts` as an approximate fallback) for CI-driver attribution, + and check S3 delivery-bucket size for storage. The exact signals, preferred order, + and fallbacks are in [references/data-collection.md](references/data-collection.md). + If Cost Explorer is unavailable, still report configuration findings and label + dollar impact as "not quantified — enable Cost Explorer for sizing". + +- [ ] **Step 4: Analyze cost optimization opportunities.** Evaluate the setup against + the eight opportunity checks (§4.1 recording-frequency mismatch, §4.2 over-broad + resource recording, §4.3 duplicate global-resource recording, §4.4 high-churn CI + drivers, §4.5 redundant/duplicate rules, §4.6 conformance-pack overlap, §4.7 S3 + lifecycle, §4.8 recorder with no consumer). Load + [references/opportunities.md](references/opportunities.md) for the full check + definitions, severity guidance, and the critical **conformance-pack overlap decision + tree** (overlapping PCI/NIST packs are usually intentional dual attestation — do not + default to merging them; see §4.6). Assign each finding a severity (CRITICAL, HIGH, + MEDIUM, LOW, INFO) and, where a cost/volume signal exists, an estimated monthly + saving. + +- [ ] **Step 5: Validate findings.** Before writing the report, self-check the + findings: confirm each estimated saving traces to a cited signal (Cost Explorer, + Athena, or `GetDiscoveredResourceCounts`, with inventory-based numbers labeled + approximate); confirm no HIGH/CRITICAL finding that reduces recording, drops a rule, + or touches a conformance pack lacks a stated compliance tradeoff; confirm no + conformance-pack finding recommends merging or deleting a pack without the customer + having confirmed separate per-framework attestation is not required; and confirm no + mutation API was called. Drop or re-label any finding that fails these checks. + +- [ ] **Step 6: Generate report.** Produce a shareable Markdown report artifact + following the structure, section order, and table schemas in + [assets/report-template.md](assets/report-template.md). Load that template when + generating the report. + +## Severity Definitions + +| Severity | Definition | SLA | +|----------|------------|-----| +| CRITICAL | Runaway CI generation causing large ongoing overspend | Fix within 24–48 hours | +| HIGH | Clear, sizable recurring saving (frequency, resource scope, global duplication) | Fix within 1 week | +| MEDIUM | Notable saving (redundant rules, conformance packs, unused recorder) | Plan within 30 days | +| LOW | Minor saving or hygiene (S3 lifecycle) | Address when convenient | +| INFO | Observation, no action required | N/A | + +## Safety and Boundaries + +- **Read-only.** The skill calls only `Describe*`, `Get*`, `List*` APIs. It never + calls `PutConfigurationRecorder`, `StopConfigurationRecorder`, `DeleteConfigRule`, + `PutConfigRule`, or any conformance-pack/delivery-channel mutation. +- **Compliance first.** Before recommending recording fewer resource types, switching + to daily, or removing a rule, state the compliance/security tradeoff. Real-time + detection of IAM and security-group changes is often worth the continuous cost. + Never recommend dropping recording below the organization's audit requirements. +- **Never collapse compliance frameworks to save evaluation cost.** Two conformance + packs that overlap (e.g. PCI DSS and NIST 800-53) usually exist to produce two + independent per-framework attestations. Do not recommend merging them into a union + pack, or deleting one, unless the customer confirms separate per-framework reporting + is not required. The overlapping-rule evaluation cost is small; the lost per-framework + compliance view is not recoverable by re-running the report. +- **Proposed changes are suggestions.** Every recommendation is for a human to review + and apply. + +## Known Quirks + +- **Daily's higher per-CI price is not a reason to avoid it** — for high-churn + resources, daily's once-per-day cap beats continuous billing every change. Reason + per-resource-type on change frequency, not on the sticker price. +- `GetDiscoveredResourceCounts` reflects the current resource inventory, not the CI + generation rate — a small number of high-churn resources can dominate cost. Use + Athena over the Config S3 data for authoritative CI-driver attribution and label + inventory-based estimates as approximate. +- In Control Tower / Organizations environments, recorder settings may be centrally + managed and reset on account provisioning — flag that recommendations may need to be + applied through the landing-zone customization path rather than per-account. +- Global resource types recorded in multiple Regions are the classic silent multiplier + — always check `includeGlobalResourceTypes` across all recording Regions. +- **Overlapping conformance packs are usually intentional, not waste.** AWS Config + tracks compliance per pack, and the AWS-provided templates deliberately map the same + technical rule to different framework controls. A rule shared between a PCI pack and + a NIST pack is billed twice but also produces two independent framework scorecards — + that is how one resource check satisfies two attestations. Only treat the overlap as + a saving when the customer confirms they do not need to attest to both frameworks + separately; otherwise report it as an INFO observation with the cost ceiling, not a + consolidation recommendation. diff --git a/skills/config-cost-optimization/assets/report-template.md b/skills/config-cost-optimization/assets/report-template.md new file mode 100644 index 00000000..23e2c3ef --- /dev/null +++ b/skills/config-cost-optimization/assets/report-template.md @@ -0,0 +1,52 @@ +# AWS Config Cost Optimization Report Template + +Output template for the report artifact. Load this when generating the final report so +the structure, section order, and table schemas are consistent. + +Artifact naming: `config-cost-optimization--.md` +Example: `config-cost-optimization-123456789012-2026-09-24.md` + +--- + +### Report Header +``` +# AWS Config Cost Optimization — +Date: | Scope: | Analysis window: to +``` + +### Executive Summary +- Estimated total monthly savings (sum of quantified opportunities) or "not quantified" +- Finding counts by severity +- Top 3 opportunities by estimated saving + +### Config Setup Inventory +| Region | Recording mode | allSupported | Global types | # Resource types | # Rules | # Conformance packs | +|--------|---------------|--------------|--------------|------------------|---------|---------------------| + +### Configuration-Item Drivers +| Resource Type | CI Volume (approx) | Recording Mode | Recommendation | +|---------------|--------------------|----------------|----------------| + +### Cost Optimization Opportunities +| # | Opportunity | Severity | Current State | Recommendation | Est. Monthly Saving | +|---|-------------|----------|---------------|----------------|---------------------| + +### Cost Attribution (if Cost Explorer available) +| Usage Type | 30-Day Cost | Share | +|------------|-------------|-------| + +### Priority Matrix +| # | Opportunity | Severity | Effort | Est. Saving | +|---|-------------|----------|--------|-------------| + +### Next Steps +- Immediate (HIGH — within 7 days) +- Short-term (MEDIUM — within 30 days) +- Long-term (LOW — within 90 days) + +### Appendix — Reference Links +- [Optimize AWS Config costs](https://repost.aws/knowledge-center/optimize-aws-config) +- [Cost optimization recommendations for AWS Config](https://aws.amazon.com/blogs/mt/cost-optimization-recommendations-for-aws-config/) +- [Best practices for analyzing AWS Config recording frequencies](https://aws.amazon.com/blogs/mt/best-practices-for-analyzing-aws-config-recording-frequencies/) +- [Identifying resources with the most configuration changes](https://aws.amazon.com/blogs/mt/identifying-resources-most-configuration-changes-aws-config/) +- [AWS Config pricing](https://aws.amazon.com/config/pricing/) diff --git a/skills/config-cost-optimization/evals/best-practices/v1/benchmark.json b/skills/config-cost-optimization/evals/best-practices/v1/benchmark.json new file mode 100644 index 00000000..7160c8e7 --- /dev/null +++ b/skills/config-cost-optimization/evals/best-practices/v1/benchmark.json @@ -0,0 +1,325 @@ +{ + "timestamp": "2026-09-29T13:04:47Z", + "version": "v1", + "model": "us.anthropic.claude-sonnet-5", + "iterations": 3, + "avg_confidence": "high", + "consistency": { + "consistency_score": 100, + "reports": [ + { + "iteration": 1, + "result": "passed", + "score": 100, + "total": 17, + "passed": 17, + "failed": 0, + "skipped": 0, + "warning": 0, + "errored": 0, + "low_confidence": 0, + "avg_confidence": "high" + }, + { + "iteration": 2, + "result": "passed", + "score": 100, + "total": 17, + "passed": 17, + "failed": 0, + "skipped": 0, + "warning": 0, + "errored": 0, + "low_confidence": 0, + "avg_confidence": "high" + }, + { + "iteration": 3, + "result": "passed", + "score": 100, + "total": 17, + "passed": 17, + "failed": 0, + "skipped": 0, + "warning": 0, + "errored": 0, + "low_confidence": 0, + "avg_confidence": "high" + } + ], + "per_test": [ + { + "id": "BP-01", + "name": "Effective description", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "medium", + "medium" + ], + "avg_confidence": "medium", + "consistent": true + }, + { + "id": "BP-02", + "name": "Verbosity and conciseness", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "medium" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-03", + "name": "Detailed reference materials must not be in body", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "medium" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-04", + "name": "Reference files must be linked", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-05", + "name": "Reference links must specify when to load", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-06", + "name": "Reference path format", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-07", + "name": "Prescription vs description", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "medium", + "medium", + "medium" + ], + "avg_confidence": "medium", + "consistent": true + }, + { + "id": "BP-08", + "name": "Defaults, not menus", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-09", + "name": "Favor procedures over declarations", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-10", + "name": "Gotchas section", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-11", + "name": "Templates and outputs missing", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-12", + "name": "Templates and outputs must not be in body", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "medium" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-13", + "name": "Asset files must be linked", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-14", + "name": "Asset links must specify when to load", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-15", + "name": "Asset path format", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-16", + "name": "Step-by-step guidance", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-17", + "name": "Validation loops", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + } + ] + } +} \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/best-practices/v1/iteration-1/best-practices-tests-results.json b/skills/config-cost-optimization/evals/best-practices/v1/iteration-1/best-practices-tests-results.json new file mode 100644 index 00000000..4785bd50 --- /dev/null +++ b/skills/config-cost-optimization/evals/best-practices/v1/iteration-1/best-practices-tests-results.json @@ -0,0 +1,170 @@ +{ + "version": "v1", + "iteration": 1, + "timestamp": "2026-09-29T13:04:44Z", + "test_type": "best-practices", + "passing_score": 100, + "score": 100, + "result": "passed", + "summary": { + "total": 17, + "passed": 17, + "failed": 0, + "skipped": 0, + "warning": 0, + "errored": 0, + "low_confidence": 0, + "avg_confidence": "high" + }, + "tests": [ + { + "id": "BP-01", + "name": "Effective description", + "result": "passed", + "confidence": "high", + "reasoning": "The description uses imperative phrasing ('Use this skill when...'), focuses on user intent with concrete trigger phrases like 'why is my AWS Config bill so high', and lists explicit trigger contexts covering both named and unnamed domain requests. It is a single dense paragraph (concise for the scope covered) though on the longer side, it still reads as one coherent unit without redundancy.", + "evidence": "\"Use this skill when a user asks to reduce, review, audit, or optimize AWS Config spend, or reports an unexpected AWS Config cost or configuration-item increase. Activate on requests like \\\"why is my AWS Config bill so high\\\", \\\"reduce Config costs\\\"...\"", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/optimizing-descriptions" + }, + { + "id": "BP-02", + "name": "Verbosity and conciseness", + "result": "passed", + "confidence": "high", + "reasoning": "The body is focused on domain-specific procedures (Config billing model, workflow steps, severity definitions, safety boundaries) rather than explaining general concepts the agent already knows. Content is dense with AWS Config-specific facts.", + "evidence": "Configuration items (CIs) are the dominant cost driver \u2014 billed per CI recorded.", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#add-what-the-agent-lacks-omit-what-it-knows" + }, + { + "id": "BP-03", + "name": "Detailed reference materials must not be in body", + "result": "passed", + "confidence": "high", + "reasoning": "Detailed reference material (API calls, full pricing tables, opportunity check definitions) is offloaded to references/ files and only summarized briefly in the body. No large blocks of detailed data or conditional-branch reference data are embedded in the body.", + "evidence": "For the full charge table, per-mode pricing, and the high-churn reasoning the checks rely on, load references/billing-model.md", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#structure-large-skills-with-progressive-disclosure" + }, + { + "id": "BP-04", + "name": "Reference files must be linked", + "result": "passed", + "confidence": "high", + "reasoning": "All three reference files are linked with markdown links in the body.", + "evidence": "[references/billing-model.md](references/billing-model.md)" + }, + { + "id": "BP-05", + "name": "Reference links must specify when to load", + "result": "passed", + "confidence": "high", + "reasoning": "Each reference link specifies the condition or purpose for loading, e.g., when deciding continuous vs daily, or for API call details.", + "evidence": "load references/billing-model.md when you need to decide whether continuous or daily is cheaper for a resource type, or to explain a charge.", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#structure-large-skills-with-progressive-disclosure" + }, + { + "id": "BP-06", + "name": "Reference path format", + "result": "passed", + "confidence": "high", + "reasoning": "All reference links use relative paths from the skill root (references/filename.md format).", + "evidence": "[references/data-collection.md](references/data-collection.md)", + "agent_skills_spec_reference": "https://agentskills.io/specification#file-references" + }, + { + "id": "BP-07", + "name": "Prescription vs description", + "result": "passed", + "confidence": "medium", + "reasoning": "Fragile operations (read-only API safety boundary, compliance tradeoffs, conformance-pack decision tree) are given exact, prescriptive rules, while flexible tasks (report generation approach, scope selection) allow agent judgment with explained rationale.", + "evidence": "Never recommend dropping recording below the organization's audit requirements.", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#match-specificity-to-fragility" + }, + { + "id": "BP-08", + "name": "Defaults, not menus", + "result": "passed", + "confidence": "high", + "reasoning": "Where multiple approaches exist (e.g., Cost Explorer vs Athena vs GetDiscoveredResourceCounts), a clear preferred order and default is given with fallbacks noted.", + "evidence": "Prefer Cost Explorer as the dollar signal, use Athena (or GetDiscoveredResourceCounts as an approximate fallback) for CI-driver attribution", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#provide-defaults-not-menus" + }, + { + "id": "BP-09", + "name": "Favor procedures over declarations", + "result": "passed", + "confidence": "high", + "reasoning": "The workflow teaches a generalizable procedure (scope identification, inventory, cost signal collection, opportunity analysis, validation, reporting) applicable to any AWS Config cost review, not a one-off declaration.", + "evidence": "Step 1: Identify target scope. Ask the user which accounts and Regions to review...", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#favor-procedures-over-declarations" + }, + { + "id": "BP-10", + "name": "Gotchas section", + "result": "passed", + "confidence": "high", + "reasoning": "The skill includes a dedicated 'Known Quirks' section with concrete, non-obvious corrections specific to AWS Config cost domain.", + "evidence": "Daily's higher per-CI price is not a reason to avoid it \u2014 for high-churn resources, daily's once-per-day cap beats continuous billing every change.", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#gotchas-sections" + }, + { + "id": "BP-11", + "name": "Templates and outputs missing", + "result": "passed", + "confidence": "high", + "reasoning": "The skill produces a report and provides an explicit template in assets/, referenced from the body.", + "evidence": "Produce a shareable Markdown report artifact following the structure, section order, and table schemas in [assets/report-template.md](assets/report-template.md).", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#templates-for-output-format" + }, + { + "id": "BP-12", + "name": "Templates and outputs must not be in body", + "result": "passed", + "confidence": "high", + "reasoning": "No large output template is embedded inline in the body; the severity table is short and reference-only, while the full report template is stored in assets/.", + "evidence": "| Severity | Definition | SLA |\n|----------|------------|-----|\n| CRITICAL | Runaway CI generation causing large ongoing overspend | Fix within 24\u201348 hours |", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#templates-for-output-format" + }, + { + "id": "BP-13", + "name": "Asset files must be linked", + "result": "passed", + "confidence": "high", + "reasoning": "The single asset file report-template.md is linked in the body.", + "evidence": "[assets/report-template.md](assets/report-template.md)" + }, + { + "id": "BP-14", + "name": "Asset links must specify when to load", + "result": "passed", + "confidence": "high", + "reasoning": "The asset link specifies the condition for loading it \u2014 when generating the report.", + "evidence": "Produce a shareable Markdown report artifact following the structure, section order, and table schemas in [assets/report-template.md](assets/report-template.md). Load that template when generating the report." + }, + { + "id": "BP-15", + "name": "Asset path format", + "result": "passed", + "confidence": "high", + "reasoning": "The asset reference uses a relative path from the skill root.", + "evidence": "[assets/report-template.md](assets/report-template.md)" + }, + { + "id": "BP-16", + "name": "Step-by-step guidance", + "result": "passed", + "confidence": "high", + "reasoning": "The workflow is presented as an ordered checkbox checklist with 'Step N:' labels, matching the required format, and there are no separate detailed sections with mismatched headings.", + "evidence": "- [ ] **Step 1: Identify target scope.** ... - [ ] **Step 2: Inventory the Config setup.**", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#checklists-for-multi-step-workflows" + }, + { + "id": "BP-17", + "name": "Validation loops", + "result": "passed", + "confidence": "high", + "reasoning": "Step 5 explicitly instructs the agent to self-check findings for accuracy, compliance tradeoffs, and correctness before presenting the report.", + "evidence": "Step 5: Validate findings. Before writing the report, self-check the findings: confirm each estimated saving traces to a cited signal... Drop or re-label any finding that fails these checks.", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#validation-loops" + } + ] +} \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/eval_queries.json b/skills/config-cost-optimization/evals/eval_queries.json new file mode 100644 index 00000000..e9cacd0e --- /dev/null +++ b/skills/config-cost-optimization/evals/eval_queries.json @@ -0,0 +1,8 @@ +[ + {"query": "Which skill would help me reduce my AWS Config costs? Just name it; do not run it.", "should_trigger": true}, + {"query": "Is there a skill for reviewing AWS Config configuration item costs and recording frequency? Answer yes or no with the skill name; do not execute it.", "should_trigger": true}, + {"query": "Name the skill that tells me whether to use daily or continuous AWS Config recording to save money. Do not run any review.", "should_trigger": true}, + {"query": "Write a Python script that sorts a list of numbers", "should_trigger": false}, + {"query": "What's the weather forecast for Denver this weekend?", "should_trigger": false}, + {"query": "Create a CloudFormation template for an S3 bucket", "should_trigger": false} +] diff --git a/skills/config-cost-optimization/evals/evals.json b/skills/config-cost-optimization/evals/evals.json new file mode 100644 index 00000000..a64ed776 --- /dev/null +++ b/skills/config-cost-optimization/evals/evals.json @@ -0,0 +1,76 @@ +{ + "skill_name": "config-cost-optimization", + "evals": [ + { + "id": "config-cost-severity-definitions", + "task_type": "chat", + "prompt": "List the five severity levels the AWS Config cost optimization skill uses for its findings, in order from most to least urgent. No account access required.", + "expected_output": "Lists CRITICAL, HIGH, MEDIUM, LOW, INFO in that order.", + "should_trigger": true, + "assertions": [ + {"text": "lists CRITICAL", "evaluator": "regex", "pattern": "CRITICAL"}, + {"text": "lists HIGH", "evaluator": "regex", "pattern": "HIGH"}, + {"text": "lists MEDIUM", "evaluator": "regex", "pattern": "MEDIUM"}, + {"text": "lists LOW", "evaluator": "regex", "pattern": "LOW"}, + {"text": "lists INFO", "evaluator": "regex", "pattern": "INFO"}, + "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)" + ] + }, + { + "id": "config-cost-billing-model", + "task_type": "chat", + "prompt": "For an AWS Config resource type that changes many times per day, which recording mode is usually cheaper - continuous or daily - and why? No account access required.", + "expected_output": "Explains that daily recording is usually cheaper for high-churn resources because it bills at most one configuration item per resource per day, whereas continuous recording bills every change, so continuous can cost more overall despite its lower per-CI price.", + "should_trigger": true, + "assertions": [ + "The response identifies daily recording as usually cheaper for a high-churn resource", + "The response explains that continuous recording bills every change while daily bills at most one configuration item per resource per day", + "The response notes that daily's higher per-CI price is outweighed by the once-per-day cap for high-churn resources" + ] + }, + { + "id": "config-cost-conformance-overlap", + "task_type": "chat", + "prompt": "My AWS Config setup has two conformance packs - a NIST 800-53 pack and a PCI DSS pack - that share about 40% of their rules. Separate auditors consume the NIST compliance report and the PCI compliance report independently. To cut Config evaluation costs, should I merge them into one combined conformance pack? Explain the tradeoff. No account access required.", + "expected_output": "Advises NOT merging the packs when both frameworks must be attested independently. Explains that AWS Config tracks compliance per pack and the shared rules deliberately map to different framework controls, so merging destroys the separate per-framework compliance reporting the auditors rely on. Treats the overlapping-rule evaluation cost as a small, deliberate cost of dual attestation (an INFO observation), and recommends verifying the compliance consumer before any consolidation.", + "should_trigger": true, + "assertions": [ + "The response advises against merging the two packs into one (does not recommend consolidation as the fix)", + "The response explains that compliance is tracked per pack and separate per-framework attestation/reporting would be lost by merging", + "The response characterizes the overlapping-rule evaluation cost as small relative to the lost per-framework reporting, or frames the overlap as acceptable/INFO rather than waste" + ] + }, + { + "id": "config-cost-standalone-vs-pack", + "task_type": "chat", + "prompt": "In AWS Config I have a standalone acm-certificate-expiration-check rule with a 14-day threshold, and my conformance pack also includes acm-certificate-expiration-check but with a 90-day threshold. Is the standalone rule just a duplicate I should delete to save on evaluations? No account access required.", + "expected_output": "Explains that the standalone rule is NOT a pure duplicate because its 14-day threshold differs from the pack's 90-day threshold - it enforces a stricter, different requirement. Recommends flagging the threshold conflict for the customer to reconcile rather than deleting the standalone rule outright, and only removing a standalone rule when its source identifier AND parameters match the pack's and it serves no distinct purpose.", + "should_trigger": true, + "assertions": [ + "The response states the standalone rule is not simply a duplicate because its threshold differs from the pack's", + "The response recommends reconciling or reviewing the threshold conflict rather than deleting the standalone rule outright", + "The response ties the duplicate determination to matching parameters/thresholds, not just the rule name or source identifier" + ] + }, + { + "id": "config-cost-artifact-naming", + "task_type": "chat", + "prompt": "For an AWS Config cost optimization review of account 123456789012, state the report artifact filename you would generate (use today's date in YYYY-MM-DD form). Do not run the review.", + "expected_output": "Proposes an artifact name of the form config-cost-optimization-123456789012-.md.", + "should_trigger": true, + "assertions": [ + {"text": "The response proposes an artifact filename of the form config-cost-optimization--.md", "evaluator": "regex", "pattern": "config-cost-optimization-[0-9]+-\\d{4}-\\d{2}-\\d{2}\\.md"} + ] + }, + { + "id": "config-cost-negative-trigger", + "task_type": "chat", + "prompt": "Help me tune the parameter group on my Amazon RDS PostgreSQL instance to improve query performance.", + "expected_output": "The AWS Config cost optimization skill should not activate - this is an RDS performance tuning request unrelated to AWS Config cost.", + "should_trigger": false, + "assertions": [ + "The response addresses RDS parameter group / performance tuning and does not steer the user into an AWS Config cost optimization review" + ] + } + ] +} diff --git a/skills/config-cost-optimization/evals/files/config-context.json b/skills/config-cost-optimization/evals/files/config-context.json new file mode 100644 index 00000000..3953eae5 --- /dev/null +++ b/skills/config-cost-optimization/evals/files/config-context.json @@ -0,0 +1,30 @@ +{ + "account": "$accountId", + "regions": [ + { + "region": "us-east-1", + "recorderRunning": true, + "recordingMode": "continuous", + "allSupported": true, + "includeGlobalResourceTypes": true, + "resourceTypeCount": 220, + "ruleCount": 45, + "conformancePackCount": 3 + }, + { + "region": "us-west-2", + "recorderRunning": true, + "recordingMode": "continuous", + "allSupported": true, + "includeGlobalResourceTypes": true, + "resourceTypeCount": 210, + "ruleCount": 12, + "conformancePackCount": 0 + } + ], + "highChurnResourceTypes": [ + { "type": "AWS::AutoScaling::AutoScalingGroup", "recordingMode": "continuous" }, + { "type": "AWS::EC2::Instance", "recordingMode": "continuous" } + ], + "deliveryBucket": "config-delivery-logs" +} diff --git a/skills/config-cost-optimization/evals/functional/v1/benchmark.json b/skills/config-cost-optimization/evals/functional/v1/benchmark.json new file mode 100644 index 00000000..3586a8c5 --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/benchmark.json @@ -0,0 +1,1022 @@ +{ + "summary": "This A/B evaluation covered six chat-based AWS Config governance/cost-optimization tasks, run 3 iterations each (33 total iterations, 0 failed runs).\n\n**Trigger firing**: This is measured on only one variant's data path as a shared eval property, not split by variant. Trigger fired 3/3 for \"severity-definitions\" and the \"negative-trigger\" eval (as expected, since negative-trigger intentionally checks the trigger does NOT fire behavior \u2014 that eval was otherwise skipped entirely since it's a should_trigger:false case, so no other data exists for it). For three evals (billing-model, conformance-overlap, standalone-vs-pack, artifact-naming) trigger_fired is reported as 0/3 \u2014 since expected_output and assertions were still scored for these, this looks like a metric that didn't apply/record cleanly rather than a real failure; treat it as absent data rather than a finding.\n\n**Expected output met**: Results are mixed and eval-dependent:\n- severity-definitions: with_skill met expected output 3/3 (high confidence); without_skill 0/3 (medium confidence) \u2014 a clear, consistent gap here.\n- billing-model: with_skill 3/3 vs without_skill 2/3 (both high confidence) \u2014 a small gap.\n- conformance-overlap, standalone-vs-pack, artifact-naming: both variants 3/3 \u2014 no difference.\n- negative-trigger: expected-output scoring skipped (not applicable for a should_trigger:false eval).\n\n**Assertions**: Also eval-dependent. In severity-definitions, with_skill passed 18/18 vs without_skill's 6/12, driven mostly by flaky (run-to-run inconsistent) failures on without_skill for four regex checks (CRITICAL/HIGH/LOW/INFO listing) plus a full miss on an LLM-graded ordering assertion (with_skill 3/3 vs without_skill 0/2, both high confidence) \u2014 this is the most consistent, high-confidence gap in the dataset. In billing-model, both variants failed the same assertion 0/3 (\"daily's higher per-CI price outweighed by cap\") \u2014 indicating that assertion/behavior may need rework rather than reflecting a variant weakness, while another assertion passed for both (3/3 each), and one showed with_skill slightly ahead (3/3 vs 2/3). In conformance-overlap, without_skill did somewhat better (8/9 vs 6/9), with the two variants tied on two assertions and without_skill ahead on the flaky third. In standalone-vs-pack, both variants passed all assertions (9/9 each) \u2014 no difference. In artifact-naming, with_skill passed its single filename-format assertion 3/3 while without_skill failed it 0/3 \u2014 a clear, isolated difference.\n\n**Runtime and cost**: Differences are small in absolute terms. with_skill tended to run faster/cheaper where nonzero (e.g., severity-definitions: 5s/$0.04 vs without_skill's 7s/$0.06); most other evals reported near-0s/$0.00 for both, suggesting minimal measurable cost differential overall.\n\n**Quality comparison**: No quality pairs were evaluated in any eval (all marked as skipped, 3 pairs skipped per eval), so no direct quality-comparison signal is available across evals.\n\n**Output consistency**: Only measured for without_skill (with_skill's consistency data is null throughout, so no comparison is possible on this dimension). Where measured, without_skill ranged from \"inconsistent\" (billing-model, score 1.33, high confidence) to \"mostly_consistent\" (conformance-overlap, standalone-vs-pack, artifact-naming, scores 2.33\u20132.67) \u2014 suggesting some run-to-run variability in without_skill's outputs on at least one task, but this can't be benchmarked against with_skill since no matching data exists for it.\n\n**Overall pattern**: The clearest, most confidently-supported differences favor with_skill on two evals \u2014 severity-definitions (expected-output and assertions, high confidence) and artifact-naming (a single format assertion). Other evals show ties (standalone-vs-pack), a small edge to with_skill (billing-model, with a shared always-failing assertion suggesting that particular check needs revisiting), or a moderate edge to without_skill (conformance-overlap). Quality-pair comparisons and with_skill consistency data are entirely absent, which limits how much can be concluded about overall output quality or with_skill's run-to-run stability. Runtime/cost differences are minor. The negative-trigger eval and the anomalous 0/3 trigger_fired readings on several evals should be read as data gaps rather than performance findings.", + "timestamp": "2026-09-29T13:10:00Z", + "version": "v1", + "model": "us.anthropic.claude-sonnet-5", + "iterations": 3, + "total_evals": 6, + "total_iterations_run": 33, + "total_failed": 0, + "cleanup_skipped": false, + "understanding_agent_space_skill": { + "enabled": false, + "found": 0, + "timed_out": 0, + "errored": 0, + "not_waited": 33 + }, + "evals": { + "config-cost-severity-definitions": { + "summary": "Both variants reliably triggered the behavior under test (3/3), so the eval scenario itself fired correctly for both.\n\nOn the expected-output check, the two variants diverge sharply: with_skill met the expected output in all 3 runs (100%, high confidence), while without_skill met it in 0/3 runs (0%, medium confidence \u2014 a somewhat weaker signal, but the gap is large enough that this isn't just measurement noise).\n\nPer-assertion results tell a consistent story. Out of 6 distinct assertions checked repeatedly across runs:\n- with_skill passed all of them in every run (18/18 total assertion checks, 100%).\n- without_skill passed only 6/12 (50%).\n- One assertion (\"lists MEDIUM\") passed for without_skill in all runs, so it doesn't discriminate between the variants here.\n- Four assertions (\"lists CRITICAL\", \"lists HIGH\", \"lists LOW\", \"lists INFO\") were flaky for without_skill \u2014 passing in one run and failing in another out of 2 runs recorded \u2014 while with_skill passed them consistently every time. This points to run-to-run inconsistency in without_skill's output on these specific checks rather than a uniform failure.\n- One assertion (ordering severity levels from CRITICAL to INFO, an LLM-judged check with high confidence) passed 3/3 for with_skill and 0/2 for without_skill, a clear and consistent split rather than a flaky result \u2014 without_skill appears to reliably fail this particular ordering requirement.\n\nOn efficiency, with_skill ran faster (5s vs 7s avg) and cost less ($0.04 vs $0.06 avg) than without_skill. Context window utilization was low and similar for both (4.4% vs 3.8%), with no compaction needed for either.\n\nNo quality-comparison data is available: all 3 pairs were skipped, so we have no independent LLM-judged quality comparison to weigh alongside the assertion results. Output consistency (run-to-run stability) was also not computed for either variant (null), despite the flakiness visible in the per-assertion breakdown for without_skill.\n\nOverall, on the dimensions that were measured, with_skill met the expected output and passed assertions more often and consistently, and was also somewhat faster and cheaper, while without_skill showed flakiness on several list-content assertions and a consistent failure on the severity-ordering assertion. However, the expected-output confidence for without_skill was only medium, and no quality or consistency scores are available to corroborate or contextualize these findings further.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0, + "low_confidence": 0, + "avg_confidence": "medium" + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "lists CRITICAL", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "1/2", + "percentage": 50 + }, + "classification": "flaky" + }, + { + "index": 1, + "text": "lists HIGH", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "1/2", + "percentage": 50 + }, + "classification": "flaky" + }, + { + "index": 2, + "text": "lists MEDIUM", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "2/2", + "percentage": 100 + }, + "classification": "always_passes" + }, + { + "index": 3, + "text": "lists LOW", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "1/2", + "percentage": 50 + }, + "classification": "flaky" + }, + { + "index": 4, + "text": "lists INFO", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "1/2", + "percentage": 50 + }, + "classification": "flaky" + }, + { + "index": 5, + "text": "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "0/2", + "percentage": 0, + "avg_confidence": "high" + }, + "classification": "skill_uplift" + } + ], + "with_skill": { + "pass_rate": "18/18", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "6/12", + "percentage": 50 + } + }, + "metrics": { + "with_skill": { + "runtime_avg": "5s", + "cost_avg": "$0.04", + "context_window_avg": { + "utilization": "4.4%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "7s", + "cost_avg": "$0.06", + "context_window_avg": { + "utilization": "3.8%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 0, + "pairs_skipped": 3, + "skip_reasons": [ + "without_skill expected_output test failed" + ], + "overall": { + "with_skill_wins": 0, + "without_skill_wins": 0, + "equivalent": 0, + "winner": "equivalent", + "summary": "Equivalent overall (0 vs 0 criterion wins out of 0 judgments)." + }, + "per_criterion": {}, + "iterations": [ + { + "iteration": 1, + "skipped": true, + "skip_reason": "without_skill expected_output test failed" + }, + { + "iteration": 2, + "skipped": true, + "skip_reason": "without_skill expected_output test failed" + }, + { + "iteration": 3, + "skipped": true, + "skip_reason": "without_skill expected_output test failed" + } + ] + } + }, + "output_consistency": { + "comparison": { + "applicable": false, + "reason": "with_skill was not judged: Bedrock consistency evaluation failed: Bedrock returned 'dimensions' as str, not an array, and it could not be recovered as JSON: '[{\"dimension\":\"answer_consistency\",\"verdict\":\"consistent\",\"confidence\":\"high\",\"reasoning\":\"All three outputs list the exact same five severity levels (CRITICAL, HIGH, MEDIUM, LOW, INFO) in the same o" + }, + "with_skill": { + "skipped": true, + "skip_reason": "Bedrock consistency evaluation failed: Bedrock returned 'dimensions' as str, not an array, and it could not be recovered as JSON: '[{\"dimension\":\"answer_consistency\",\"verdict\":\"consistent\",\"confidence\":\"high\",\"reasoning\":\"All three outputs list the exact same five severity levels (CRITICAL, HIGH, MEDIUM, LOW, INFO) in the same o" + }, + "without_skill": { + "skipped": true, + "skip_reason": "Only 2 usable output(s); consistency needs at least 3.", + "excluded": [ + { + "iteration": 3, + "reason": "no output text to compare" + } + ] + } + } + }, + "config-cost-billing-model": { + "summary": "This chat-task eval compared without_skill and with_skill on questions about AWS Config recording cost tradeoffs (daily vs. continuous recording).\n\nTrigger check: the \"trigger_fired\" metric (whether the behavior under test fired at all) was 0/3 for both, so this dimension provides no usable signal here \u2014 treat it as absent/inapplicable data rather than a mark against either variant.\n\nExpected output: with_skill met the expected output in 3/3 runs (100%), without_skill in 2/3 (67%), both with high-confidence judgments, so this gap is reasonably trustworthy though based on a very small sample (3 runs each).\n\nAssertions (9 total per variant, aggregated from 3 underlying checks \u00d7 3 runs): with_skill passed 6/9 (67%) vs without_skill 5/9 (56%). Breaking this down by individual assertion is more informative than the aggregate:\n- One assertion (\"continuous recording bills every change vs. daily caps at one CI/day\") passed 3/3 for both variants \u2014 this check doesn't differentiate them.\n- One assertion (\"daily's higher per-CI price outweighed by once-per-day cap for high-churn resources\") failed 0/3 for both variants \u2014 neither variant satisfies this, suggesting the underlying behavior or the assertion itself needs attention.\n- One assertion (\"daily recording usually cheaper for high-churn resource\") is where the variants diverge: with_skill passed 3/3, without_skill passed 2/3 (flagged as a \"flaky\" pattern), which accounts for the overall assertion-rate gap.\n\nMetrics: with_skill's runtime and cost were reported as ~0s/$0.00, while without_skill averaged ~3s runtime and ~$0.03 cost. Context window utilization was nearly identical (~3.6% vs 3.7%) with no compaction for either. The 0s/$0 figures for with_skill are unusually low and may reflect a measurement/logging artifact rather than genuinely free, instant execution \u2014 worth treating with some caution rather than a strict cost/speed advantage.\n\nQuality comparison: no pairs could be evaluated (0 evaluated, 3 skipped), so there is no direct quality-comparison data to weigh here.\n\nOutput consistency: without_skill was rated \"inconsistent\" across runs (score 1.33, with 2 of 3 dimensions inconsistent and 1 mostly consistent, high confidence in this judgment). with_skill has no consistency data recorded (null), so we cannot compare run-to-run stability between the two \u2014 this is a gap in the data, not evidence that with_skill was more consistent.\n\nOverall: with_skill showed a modest edge in meeting expected output and in the one assertion where the variants diverged, alongside lower reported runtime/cost, while without_skill showed some run-to-run inconsistency. However, sample sizes are small (3 runs), one key assertion failed for both variants, one passed identically for both, quality-comparison data is entirely missing, and with_skill's consistency and cost/runtime figures are unverified/missing or unusually low \u2014 so these findings should be read as directional signals rather than conclusive differences.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "2/3", + "percentage": 67, + "low_confidence": 0, + "avg_confidence": "high" + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "The response identifies daily recording as usually cheaper for a high-churn resource", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "2/3", + "percentage": 67, + "avg_confidence": "high" + }, + "classification": "flaky" + }, + { + "index": 1, + "text": "The response explains that continuous recording bills every change while daily bills at most one configuration item per resource per day", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 2, + "text": "The response notes that daily's higher per-CI price is outweighed by the once-per-day cap for high-churn resources", + "evaluator": "llm", + "with_skill": { + "pass_rate": "0/3", + "percentage": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0, + "avg_confidence": "high" + }, + "classification": "always_fails" + } + ], + "with_skill": { + "pass_rate": "6/9", + "percentage": 67 + }, + "without_skill": { + "pass_rate": "5/9", + "percentage": 56 + } + }, + "metrics": { + "with_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.6%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "3s", + "cost_avg": "$0.03", + "context_window_avg": { + "utilization": "3.7%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 0, + "pairs_skipped": 3, + "skip_reasons": [ + "with_skill trigger test failed" + ], + "overall": { + "with_skill_wins": 0, + "without_skill_wins": 0, + "equivalent": 0, + "winner": "equivalent", + "summary": "Equivalent overall (0 vs 0 criterion wins out of 0 judgments)." + }, + "per_criterion": {}, + "iterations": [ + { + "iteration": 1, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 2, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 3, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + } + ] + } + }, + "output_consistency": { + "comparison": { + "applicable": false, + "reason": "with_skill was not judged: Only 0 usable output(s); consistency needs at least 3." + }, + "with_skill": { + "skipped": true, + "skip_reason": "Only 0 usable output(s); consistency needs at least 3.", + "excluded": [ + { + "iteration": 1, + "reason": "trigger test failed" + }, + { + "iteration": 2, + "reason": "trigger test failed" + }, + { + "iteration": 3, + "reason": "trigger test failed" + } + ] + }, + "without_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "inconsistent", + "overall_score": 1.33, + "dimension_counts": { + "mostly_consistent": 1, + "inconsistent": 2 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "inconsistent", + "confidence": "high", + "reasoning": "Iteration 1 concludes continuous recording is cheaper for frequently-changing resources, while iterations 2 and 3 conclude daily recording is cheaper for the same scenario. This is a direct contradiction on the core question asked by the user, not just a difference in framing or additional detail.", + "evidence": "Iteration 1: 'For a resource type that changes many times a day, continuous recording is usually cheaper.' Iteration 2: 'daily recording mode is almost always cheaper, and it's not particularly close.' Iteration 3: 'daily recording is usually cheaper \u2014 and the gap gets bigger the more frequently the resource changes.'", + "diverging_iterations": [ + 1 + ] + }, + "recommendation_consistency": { + "verdict": "inconsistent", + "confidence": "high", + "reasoning": "Because the core answer diverges, the implicit recommendation (which mode to choose for high-change resources) also diverges: iteration 1 recommends continuous mode, while iterations 2 and 3 recommend daily mode. Additionally, iteration 3 offers a follow-up action (checking account config) that the others do not.", + "evidence": "Iteration 1 frames continuous as the cost-effective choice; iterations 2/3 frame daily as the cost-effective choice. Iteration 3 uniquely adds: 'Want me to check which recording mode your account currently has configured for specific resource types?'", + "diverging_iterations": [ + 1, + 3 + ] + }, + "format_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "All three responses use a similar shape: a direct answer stated upfront in bold, followed by prose/bullet explanation of the billing mechanics and a tradeoff/caveat section. Iteration 1 includes numeric pricing figures and a specific crossover threshold not present in others; iteration 3 adds a closing offer to check account settings; iteration 2 is more heavily bolded with bullet lists. These are minor stylistic differences within a recognizably similar structure.", + "evidence": "Iteration 1 includes '$0.003/CI for continuous vs. $0.012/CI for daily' and a 'crossover point' framing not found in iterations 2 or 3. Iteration 3 ends with an offer to check the user's account configuration, which is absent in 1 and 2.", + "diverging_iterations": [ + 1, + 3 + ] + } + } + } + } + }, + "config-cost-conformance-overlap": { + "summary": "Both variants met the overall \"expected output\" criterion in all 3 test cases (3/3, 100%), meaning at the top level both produced acceptable responses. Note however that confidence differed: without_skill's expected-output judgments were rated \"high\" confidence, while with_skill's were rated \"medium\" confidence, so the equivalence at this level is somewhat more solidly established for without_skill.\n\nAt the more granular assertion level, differences emerge. without_skill passed 8/9 assertion checks (89%) versus with_skill's 6/9 (67%). Breaking this down by the three distinct assertions (each tested across 3 runs):\n- One assertion (\"advises against merging the two packs\") passed 3/3 for both variants \u2014 this check does not differentiate them.\n- A second assertion (\"explains that compliance is tracked per pack and per-framework reporting would be lost\") also passed 3/3 for both variants \u2014 again, no differentiation here.\n- The third assertion (\"characterizes overlapping-rule cost as small/acceptable rather than waste\") is where the variants diverge: without_skill passed 2/3 (67%), while with_skill passed 0/3 (0%). This is flagged as a \"flaky\" pattern for without_skill and a consistent failure for with_skill, both at high confidence. This single assertion accounts for the entire gap in aggregate assertion pass rates \u2014 the other two assertions are identical between variants.\n\nThe \"trigger_fired\" metric shows 0/3 (0%), but this is a fact tracked independently of variant performance (whether the underlying test behavior fired at all), not a variant-specific score.\n\nOn runtime, cost, and context-window utilization, both variants were essentially identical (~0s, $0.00, ~3.6-3.7% context utilization) \u2014 no meaningful difference here.\n\nQuality comparison data is not usable: all 3 pairs were skipped and 0 pairs were evaluated, so no head-to-head quality judgment is available.\n\nOutput consistency data is asymmetric: without_skill was measured as \"mostly_consistent\" (score 2.33, medium confidence, with 1 fully consistent and 2 mostly-consistent dimensions), while with_skill has no consistency data at all (null), so no comparison can be made on this dimension \u2014 this is an absence of data for with_skill rather than a poor score.\n\nOverall: the two variants are equivalent on the two assertions that recur most often, on the top-line expected-output pass rate, and on runtime/cost/context metrics. The one point of clear divergence is a single specific assertion about framing the overlapping-rule evaluation cost, where without_skill partially succeeded (2/3) and with_skill consistently failed (0/3). No quality-comparison or consistency data exists for with_skill to weigh against without_skill's consistency results, limiting how much can be concluded beyond the assertion-level finding.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "medium" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "The response advises against merging the two packs into one (does not recommend consolidation as the fix)", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 1, + "text": "The response explains that compliance is tracked per pack and separate per-framework attestation/reporting would be lost by merging", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 2, + "text": "The response characterizes the overlapping-rule evaluation cost as small relative to the lost per-framework reporting, or frames the overlap as acceptable/INFO rather than waste", + "evaluator": "llm", + "with_skill": { + "pass_rate": "0/3", + "percentage": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "2/3", + "percentage": 67, + "avg_confidence": "high" + }, + "classification": "flaky" + } + ], + "with_skill": { + "pass_rate": "6/9", + "percentage": 67 + }, + "without_skill": { + "pass_rate": "8/9", + "percentage": 89 + } + }, + "metrics": { + "with_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.7%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.6%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 0, + "pairs_skipped": 3, + "skip_reasons": [ + "with_skill trigger test failed" + ], + "overall": { + "with_skill_wins": 0, + "without_skill_wins": 0, + "equivalent": 0, + "winner": "equivalent", + "summary": "Equivalent overall (0 vs 0 criterion wins out of 0 judgments)." + }, + "per_criterion": {}, + "iterations": [ + { + "iteration": 1, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 2, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 3, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + } + ] + } + }, + "output_consistency": { + "comparison": { + "applicable": false, + "reason": "with_skill was not judged: Only 0 usable output(s); consistency needs at least 3." + }, + "with_skill": { + "skipped": true, + "skip_reason": "Only 0 usable output(s); consistency needs at least 3.", + "excluded": [ + { + "iteration": 1, + "reason": "trigger test failed" + }, + { + "iteration": 2, + "reason": "trigger test failed" + }, + { + "iteration": 3, + "reason": "trigger test failed" + } + ] + }, + "without_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "mostly_consistent", + "overall_score": 2.33, + "dimension_counts": { + "consistent": 1, + "mostly_consistent": 2 + }, + "avg_confidence": "medium", + "per_dimension": { + "answer_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "All three outputs converge on the core answer: don't merge the conformance packs, because it would break independent per-auditor compliance reporting while the cost savings are questionable/marginal. However, they diverge on a material technical fact: iteration 1 assumes merging would eliminate real duplicate evaluations (implying you ARE currently double-billed for the 40% overlap), while iterations 2 and 3 explicitly argue that Config bills per rule evaluation, and duplicate rules across packs may already be deduped or evaluated once (iteration 3 asserts this strongly as fact, iteration 2 says duplication exists but ties it to per-pack rule instantiation). This is a substantive disagreement about the underlying billing mechanism and whether cost savings are real, which is a material fact difference.", + "diverging_iterations": [ + 1, + 2, + 3 + ] + }, + "recommendation_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "All three agree on the primary recommendation: keep the packs separate rather than merging them, and offer to pull actual cost/rule data as a follow-up. However, the secondary recommendations differ materially: iteration 1 suggests exclusion by tags/scoped rules and a shared rule module/template approach; iteration 2 recommends deduping underlying managed rules, restructuring into a shared 'controls' pack plus two slim framework packs, or using AWS Audit Manager; iteration 3 recommends deduplicating parameters, scoping the Config recorder, and moving periodic rules to less frequent evaluation. These are different concrete next steps beyond the shared 'don't merge' conclusion, making this mostly consistent rather than fully consistent.", + "diverging_iterations": [ + 1, + 2, + 3 + ] + }, + "format_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three responses follow the same overall shape: a short-answer opening line, followed by markdown-style headers/bolded sections explaining why merging seems appealing/why it isn't a good trade, a section on better alternatives, and a closing offer to pull actual data. All use bullet lists and bolded sub-headers within prose, no tables, and end with a similar offer-to-help question." + } + } + } + } + }, + "config-cost-standalone-vs-pack": { + "summary": "Both without_skill and with_skill fully met the expected output on this eval (3/3, 100%, high confidence for both), and both passed all assertions (9/9, 100%). Looking at the three individual assertions, all of them passed for both variants every time (\"always_passes\" pattern) \u2014 meaning none of these assertions actually differentiate the two variants; they show both systems behaving the same on the tested criteria (recognizing threshold differences from the pack, recommending reconciliation rather than deletion, and tying duplicate determination to parameters/thresholds rather than names). One assertion (recommending reconciliation) showed medium average confidence for with_skill versus high for without_skill, a minor difference in evaluator certainty rather than in outcome.\n\nRuntime and cost were reported as effectively 0s/$0.00 for both variants, and context window utilization was identical (3.6%, no compaction) \u2014 so no meaningful cost/performance tradeoff is observable here, likely reflecting how this eval was measured rather than a substantive finding.\n\nA notable gap: the \"trigger_fired\" check (whether the behavior under test actually fired) was 0/3 (0%) \u2014 this is reported as a shared, single fact not broken out per variant, suggesting the triggering condition itself did not fire in the test runs as expected. This is worth flagging as a weakness in the eval/test setup rather than attributable to either variant specifically.\n\nQuality comparison data is essentially absent: all 3 pairs were skipped and none were evaluated, so no direct quality preference between without_skill and with_skill can be drawn from this dimension.\n\nOutput consistency data is asymmetric and incomplete: without_skill showed \"mostly_consistent\" behavior across repeated runs (score 2.67/3, with 2 dimensions fully consistent and 1 mostly consistent, high confidence), while with_skill has no consistency data reported (null). This means we can say something about without_skill's run-to-run stability but nothing comparable for with_skill \u2014 an absence of data rather than a sign that with_skill performed worse.\n\nOverall, on the dimensions where both variants have data (expected output, assertions), they are tied at 100%. The distinguishing signals available are minor (one confidence-level difference) and several key dimensions (quality comparison, trigger firing, and with_skill's consistency) are either skipped, failed to fire, or missing, limiting how much can be concluded about differences between the two variants from this particular eval.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "The response states the standalone rule is not simply a duplicate because its threshold differs from the pack's", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 1, + "text": "The response recommends reconciling or reviewing the threshold conflict rather than deleting the standalone rule outright", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "medium" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 2, + "text": "The response ties the duplicate determination to matching parameters/thresholds, not just the rule name or source identifier", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + } + ], + "with_skill": { + "pass_rate": "9/9", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "9/9", + "percentage": 100 + } + }, + "metrics": { + "with_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.6%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.6%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 0, + "pairs_skipped": 3, + "skip_reasons": [ + "with_skill trigger test failed" + ], + "overall": { + "with_skill_wins": 0, + "without_skill_wins": 0, + "equivalent": 0, + "winner": "equivalent", + "summary": "Equivalent overall (0 vs 0 criterion wins out of 0 judgments)." + }, + "per_criterion": {}, + "iterations": [ + { + "iteration": 1, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 2, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 3, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + } + ] + } + }, + "output_consistency": { + "comparison": { + "applicable": false, + "reason": "with_skill was not judged: Only 0 usable output(s); consistency needs at least 3." + }, + "with_skill": { + "skipped": true, + "skip_reason": "Only 0 usable output(s); consistency needs at least 3.", + "excluded": [ + { + "iteration": 1, + "reason": "trigger test failed" + }, + { + "iteration": 2, + "reason": "trigger test failed" + }, + { + "iteration": 3, + "reason": "trigger test failed" + } + ] + }, + "without_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "mostly_consistent", + "overall_score": 2.67, + "dimension_counts": { + "consistent": 2, + "mostly_consistent": 1 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs give the same core answer: the two rule instances are not true duplicates because AWS Config allows multiple deployments of the same managed rule with different parameters, and the differing thresholds (14-day vs 90-day) serve different purposes (urgent alert vs early-warning/governance). All note evaluation cost is a real but minor tradeoff, and that deleting the standalone rule would lose the tighter threshold signal.", + "evidence": "Iteration 1: 'no, they're not true duplicates \u2014 they're doing different jobs'; Iteration 2: 'the short answer is no, it's not a pure duplicate'; Iteration 3: 'no, don't delete it \u2014 they're not true duplicates'" + }, + "recommendation_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "All three recommend keeping both rules unless downstream consumption doesn't justify it, and all offer to check account details (scoping, alerting) as a next step. However, iteration 2 uniquely raises the alternative of standardizing on one threshold by editing the conformance pack's parameter, and discusses whether the pack's threshold is a hardcoded default vs override \u2014 a more detailed/different additional recommendation not mirrored in 1 and 3 (though iteration 3 also mentions adjusting the pack's parameter to consolidate). All three suggest checking if anything consumes the 14-day rule's alerts before deciding, which is the primary recommendation as common. Minor differences in emphasis and specifics.", + "evidence": "Iteration 2: '...edit the conformance pack's parameter to 14, or drop the standalone rule...' and mentions checking if 90-day is a hardcoded default vs override; Iteration 3: '...adjust the conformance pack's daysToExpiration parameter to 14 and drop the standalone rule'; Iteration 1 only checks scoping and downstream dependencies, not parameter consolidation as directly.", + "diverging_iterations": [ + 2 + ] + }, + "format_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three responses use a similar structure: a short direct answer up front, bolded sub-headers or bullet points explaining why the rules coexist, a section on the evaluation-cost angle, a section on what to consider/do next, and a closing question offering to check the account. This shape is consistent across all three.", + "evidence": "Iteration 1: '**Before deciding**, ...' + closing question; Iteration 2: '**What I'd consider instead of deleting:**' + closing question; Iteration 3: 'Where it *could* be worth simplifying:' + closing question \u2014 all end with an offer to check the account." + } + } + } + } + }, + "config-cost-artifact-naming": { + "summary": "This evaluation covered a single chat task (3 repeated runs) about proposing a cost-optimization artifact filename using AWS Config data.\n\nTrigger and expected output: The \"trigger_fired\" metric, which measures whether the behavior under test actually fired, was 0/3 for the shared trigger condition \u2014 meaning the underlying triggering behavior did not fire in any run. Despite that, both with_skill and without_skill were judged to meet the \"expected_output\" criterion in all 3 runs (3/3, 100%), with medium average confidence and no low-confidence judgments for either variant. This is a case where the top-line expected-output pass rate looks strong for both, but the trigger-fired signal it depends on was absent in every run, so this result should be read with some caution about what exactly \"meeting expectations\" reflects here.\n\nAssertions: This is where the two variants diverge clearly. There was one specific assertion checked \u2014 that the response proposes an artifact filename matching the pattern config-cost-optimization--.md, verified via regex. with_skill passed this assertion in all 3 runs (3/3, 100%), while without_skill failed it in all 3 runs (0/3, 0%). This is a clean, mechanically-verified split: the same concrete requirement was consistently satisfied by with_skill and consistently unsatisfied by without_skill, with no ambiguity in the check itself.\n\nRuntime, cost, and context usage: Both variants show effectively identical performance \u2014 average runtime reported as 0s, average cost $0.00, and near-identical context window utilization (3.6%) with no context compactions for either. No meaningful cost/runtime tradeoff is evident from these numbers, though the 0s/$0.00 figures suggest this data may be minimal or not fully populated rather than reflecting a true measured difference.\n\nQuality comparison: No quality comparison could be made \u2014 all 3 pairs were skipped and zero pairs were evaluated, so there is no data on relative output quality between the variants for this task.\n\nOutput consistency: without_skill's outputs were rated \"mostly_consistent\" across repeated runs (score 2.33, with 1 \"consistent\" and 2 \"mostly_consistent\" dimension ratings, high average confidence). with_skill has no consistency data reported (null), so no comparison of run-to-run stability can be made between the two variants \u2014 this is an absent measurement for with_skill rather than a poor result.\n\nOverall, the one concrete, well-verified difference in this evaluation is the filename-format assertion, which with_skill passed consistently and without_skill failed consistently. Other dimensions (expected output, cost, runtime, context usage) show no differentiation or are undermined by the trigger not firing, and quality comparisons and with_skill's consistency data are simply unavailable rather than unfavorable.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "medium" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "medium" + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "The response proposes an artifact filename of the form config-cost-optimization--.md", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "classification": "skill_uplift" + } + ], + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0 + } + }, + "metrics": { + "with_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.6%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.6%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 0, + "pairs_skipped": 3, + "skip_reasons": [ + "with_skill trigger test failed" + ], + "overall": { + "with_skill_wins": 0, + "without_skill_wins": 0, + "equivalent": 0, + "winner": "equivalent", + "summary": "Equivalent overall (0 vs 0 criterion wins out of 0 judgments)." + }, + "per_criterion": {}, + "iterations": [ + { + "iteration": 1, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 2, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 3, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + } + ] + } + }, + "output_consistency": { + "comparison": { + "applicable": false, + "reason": "with_skill was not judged: Only 0 usable output(s); consistency needs at least 3." + }, + "with_skill": { + "skipped": true, + "skip_reason": "Only 0 usable output(s); consistency needs at least 3.", + "excluded": [ + { + "iteration": 1, + "reason": "trigger test failed" + }, + { + "iteration": 2, + "reason": "trigger test failed" + }, + { + "iteration": 3, + "reason": "trigger test failed" + } + ] + }, + "without_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "mostly_consistent", + "overall_score": 2.33, + "dimension_counts": { + "consistent": 1, + "mostly_consistent": 2 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs give the identical filename 'aws-config-cost-optimization-review-123456789012-2026-09-29.md' with the same key facts: account number, service name, date format, and file extension all match exactly.", + "evidence": "Iteration 1: 'aws-config-cost-optimization-review-123456789012-2026-09-29.md'; Iteration 2: 'aws-config-cost-optimization-review-123456789012-2026-09-29.md'; Iteration 3: 'aws-config-cost-optimization-review-123456789012-2026-09-29.md'" + }, + "recommendation_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "Iterations 1 and 2 both offer to run the review as a next step if the user wants, which is a consistent recommendation. Iteration 3 gives no additional recommendation or next-step offer at all, making it materially less specific than the other two.", + "evidence": "Iteration 1: 'Let me know if you'd like me to actually kick off that cost optimization review.' Iteration 2: 'just say the word and I'll kick it off.' Iteration 3: contains no such offer or recommendation.", + "diverging_iterations": [ + 3 + ] + }, + "format_consistency": { + "verdict": "mostly_consistent", + "confidence": "high", + "reasoning": "All outputs present the filename first. Iterations 1 and 2 follow with an explanatory prose sentence plus an offer to proceed, forming a two-part structure (filename + prose). Iteration 3 consists of only the filename with no accompanying text, differing in structure/shape from the other two.", + "evidence": "Iteration 1 and 2 both have a filename line followed by explanatory prose sentences. Iteration 3 is just: 'aws-config-cost-optimization-review-123456789012-2026-09-29.md' with nothing else.", + "diverging_iterations": [ + 3 + ] + } + } + } + } + }, + "config-cost-negative-trigger": { + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": null + }, + "expected_output": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + }, + "assertions": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + }, + "metrics": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + }, + "comparison": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + }, + "output_consistency": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + } + } + } +} \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/evals.json b/skills/config-cost-optimization/evals/functional/v1/evals.json new file mode 100644 index 00000000..a64ed776 --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/evals.json @@ -0,0 +1,76 @@ +{ + "skill_name": "config-cost-optimization", + "evals": [ + { + "id": "config-cost-severity-definitions", + "task_type": "chat", + "prompt": "List the five severity levels the AWS Config cost optimization skill uses for its findings, in order from most to least urgent. No account access required.", + "expected_output": "Lists CRITICAL, HIGH, MEDIUM, LOW, INFO in that order.", + "should_trigger": true, + "assertions": [ + {"text": "lists CRITICAL", "evaluator": "regex", "pattern": "CRITICAL"}, + {"text": "lists HIGH", "evaluator": "regex", "pattern": "HIGH"}, + {"text": "lists MEDIUM", "evaluator": "regex", "pattern": "MEDIUM"}, + {"text": "lists LOW", "evaluator": "regex", "pattern": "LOW"}, + {"text": "lists INFO", "evaluator": "regex", "pattern": "INFO"}, + "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)" + ] + }, + { + "id": "config-cost-billing-model", + "task_type": "chat", + "prompt": "For an AWS Config resource type that changes many times per day, which recording mode is usually cheaper - continuous or daily - and why? No account access required.", + "expected_output": "Explains that daily recording is usually cheaper for high-churn resources because it bills at most one configuration item per resource per day, whereas continuous recording bills every change, so continuous can cost more overall despite its lower per-CI price.", + "should_trigger": true, + "assertions": [ + "The response identifies daily recording as usually cheaper for a high-churn resource", + "The response explains that continuous recording bills every change while daily bills at most one configuration item per resource per day", + "The response notes that daily's higher per-CI price is outweighed by the once-per-day cap for high-churn resources" + ] + }, + { + "id": "config-cost-conformance-overlap", + "task_type": "chat", + "prompt": "My AWS Config setup has two conformance packs - a NIST 800-53 pack and a PCI DSS pack - that share about 40% of their rules. Separate auditors consume the NIST compliance report and the PCI compliance report independently. To cut Config evaluation costs, should I merge them into one combined conformance pack? Explain the tradeoff. No account access required.", + "expected_output": "Advises NOT merging the packs when both frameworks must be attested independently. Explains that AWS Config tracks compliance per pack and the shared rules deliberately map to different framework controls, so merging destroys the separate per-framework compliance reporting the auditors rely on. Treats the overlapping-rule evaluation cost as a small, deliberate cost of dual attestation (an INFO observation), and recommends verifying the compliance consumer before any consolidation.", + "should_trigger": true, + "assertions": [ + "The response advises against merging the two packs into one (does not recommend consolidation as the fix)", + "The response explains that compliance is tracked per pack and separate per-framework attestation/reporting would be lost by merging", + "The response characterizes the overlapping-rule evaluation cost as small relative to the lost per-framework reporting, or frames the overlap as acceptable/INFO rather than waste" + ] + }, + { + "id": "config-cost-standalone-vs-pack", + "task_type": "chat", + "prompt": "In AWS Config I have a standalone acm-certificate-expiration-check rule with a 14-day threshold, and my conformance pack also includes acm-certificate-expiration-check but with a 90-day threshold. Is the standalone rule just a duplicate I should delete to save on evaluations? No account access required.", + "expected_output": "Explains that the standalone rule is NOT a pure duplicate because its 14-day threshold differs from the pack's 90-day threshold - it enforces a stricter, different requirement. Recommends flagging the threshold conflict for the customer to reconcile rather than deleting the standalone rule outright, and only removing a standalone rule when its source identifier AND parameters match the pack's and it serves no distinct purpose.", + "should_trigger": true, + "assertions": [ + "The response states the standalone rule is not simply a duplicate because its threshold differs from the pack's", + "The response recommends reconciling or reviewing the threshold conflict rather than deleting the standalone rule outright", + "The response ties the duplicate determination to matching parameters/thresholds, not just the rule name or source identifier" + ] + }, + { + "id": "config-cost-artifact-naming", + "task_type": "chat", + "prompt": "For an AWS Config cost optimization review of account 123456789012, state the report artifact filename you would generate (use today's date in YYYY-MM-DD form). Do not run the review.", + "expected_output": "Proposes an artifact name of the form config-cost-optimization-123456789012-.md.", + "should_trigger": true, + "assertions": [ + {"text": "The response proposes an artifact filename of the form config-cost-optimization--.md", "evaluator": "regex", "pattern": "config-cost-optimization-[0-9]+-\\d{4}-\\d{2}-\\d{2}\\.md"} + ] + }, + { + "id": "config-cost-negative-trigger", + "task_type": "chat", + "prompt": "Help me tune the parameter group on my Amazon RDS PostgreSQL instance to improve query performance.", + "expected_output": "The AWS Config cost optimization skill should not activate - this is an RDS performance tuning request unrelated to AWS Config cost.", + "should_trigger": false, + "assertions": [ + "The response addresses RDS parameter group / performance tuning and does not steer the user into an AWS Config cost optimization review" + ] + } + ] +} diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-artifact-naming/with_skill/functional-tests-results.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-artifact-naming/with_skill/functional-tests-results.json new file mode 100644 index 00000000..9c4f0e69 --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-artifact-naming/with_skill/functional-tests-results.json @@ -0,0 +1,47 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "config-cost-artifact-naming", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "failed", + "message": "Skill 'config-cost-optimization' was NOT triggered (no skills were loaded)", + "skill_loads_found": 0 + }, + "expected_output": { + "result": "passed", + "reasoning": "The expected output specifies a filename pattern config-cost-optimization-123456789012-.md. The agent's response \"aws-config-cost-optimization-123456789012-2026-09-29.md\" matches this pattern closely - it includes the account number (123456789012), the date in YYYY-MM-DD format, the .md extension, and the core \"config-cost-optimization\" naming convention (with an additional \"aws-\" prefix, which is a minor stylistic variation that doesn't change the substance of the naming convention). The key elements (account ID, date format, topic identifier, file extension) are all present and correctly structured.", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response proposes an artifact filename of the form config-cost-optimization--.md", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'config-cost-optimization-123456789012-2026-09-29.md'" + } + ], + "summary": { + "passed": 1, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 1, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.6%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-artifact-naming/with_skill/outputs/journal_records.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-artifact-naming/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..4f8b327e --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-artifact-naming/with_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "16cf7929-e17d-41cb-b010-a3a906943df1", + "executionId": "64fc2069-dc89-40c7-ae9d-ed90bb415914", + "recordId": "bab0b57f-2409-4952-8f18-08e2dae7d733", + "content": "{\"id\": \"bab0b57f-2409-4952-8f18-08e2dae7d733\", \"role\": \"user\", \"content\": [{\"text\": \"For an AWS Config cost optimization review of account 123456789012, state the report artifact filename you would generate (use today's date in YYYY-MM-DD form). Do not run the review.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:08:15.181000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "16cf7929-e17d-41cb-b010-a3a906943df1", + "executionId": "64fc2069-dc89-40c7-ae9d-ed90bb415914", + "recordId": "32b336ae-b81a-4586-983e-7ed111e3e92f", + "content": "{\"id\": \"dd1003fd-40ee-4923-b97f-bfea80eed174\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"AWS Config cost optimization report generation\"}]}", + "createdAt": "2026-09-29T09:08:15.934000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "16cf7929-e17d-41cb-b010-a3a906943df1", + "executionId": "64fc2069-dc89-40c7-ae9d-ed90bb415914", + "recordId": "889d24e2-14d6-4814-bba5-abc7e4ab6b10", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:08:18.778000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "16cf7929-e17d-41cb-b010-a3a906943df1", + "executionId": "64fc2069-dc89-40c7-ae9d-ed90bb415914", + "recordId": "44cdb282-85b7-4dc4-aef3-3dd56acfdac4", + "content": "{\"id\": \"44cdb282-85b7-4dc4-aef3-3dd56acfdac4\", \"role\": \"assistant\", \"content\": [{\"text\": \"aws-config-cost-optimization-123456789012-2026-09-29.md\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:08:18.894000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "16cf7929-e17d-41cb-b010-a3a906943df1", + "executionId": "64fc2069-dc89-40c7-ae9d-ed90bb415914", + "recordId": "af0d919b-1cff-4b7f-b7b4-558ddf5911f5", + "content": "{\"id\": \"a8a34041-617f-42dd-bb3a-b618e8a9d375\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"aws-config-cost-optimization-123456789012-2026-09-29.md\"}]}", + "createdAt": "2026-09-29T09:08:18.960000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-artifact-naming/without_skill/functional-tests-results.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-artifact-naming/without_skill/functional-tests-results.json new file mode 100644 index 00000000..52b1be4e --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-artifact-naming/without_skill/functional-tests-results.json @@ -0,0 +1,44 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "config-cost-artifact-naming", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "passed", + "reasoning": "The agent proposed a filename \"aws-config-cost-optimization-review-123456789012-2026-09-29.md\" which follows the expected pattern of including \"config-cost-optimization\", the account ID 123456789012, and a date in YYYY-MM-DD format, ending in .md. While the exact wording differs slightly (includes \"aws-\" prefix and \"-review\" suffix), the substance matches the expected naming convention: cost-optimization related to AWS Config, account ID, and date. The agent also correctly did not run the review, as instructed.", + "evidence": "\"aws-config-cost-optimization-review-123456789012-2026-09-29.md\"", + "confidence": "medium" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response proposes an artifact filename of the form config-cost-optimization--.md", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + } + ], + "summary": { + "passed": 0, + "failed": 1, + "errored": 0, + "low_confidence": 0, + "total": 1, + "pass_rate": 0.0 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.6%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-artifact-naming/without_skill/outputs/journal_records.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-artifact-naming/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..3edacdf1 --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-artifact-naming/without_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "b0c95065-ebd4-425a-9714-458dc42bdb7a", + "executionId": "9cb48457-19fa-4086-b41e-967432a08ae0", + "recordId": "b46d08d1-a808-417b-a6b5-0db9d6fa08e1", + "content": "{\"id\": \"b46d08d1-a808-417b-a6b5-0db9d6fa08e1\", \"role\": \"user\", \"content\": [{\"text\": \"For an AWS Config cost optimization review of account 123456789012, state the report artifact filename you would generate (use today's date in YYYY-MM-DD form). Do not run the review.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:08:16.112000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "b0c95065-ebd4-425a-9714-458dc42bdb7a", + "executionId": "9cb48457-19fa-4086-b41e-967432a08ae0", + "recordId": "f1bccee7-2c2d-43c0-a687-55150d52fd17", + "content": "{\"id\": \"946e5bc7-cc49-4384-a30c-9f2807e3f0a5\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"AWS Config cost optimization report artifact\"}]}", + "createdAt": "2026-09-29T09:08:17.034000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "b0c95065-ebd4-425a-9714-458dc42bdb7a", + "executionId": "9cb48457-19fa-4086-b41e-967432a08ae0", + "recordId": "e6c4163b-267e-456d-a306-f00e3197554b", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:08:19.500000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "b0c95065-ebd4-425a-9714-458dc42bdb7a", + "executionId": "9cb48457-19fa-4086-b41e-967432a08ae0", + "recordId": "bedc480a-23ea-4d79-8fcb-6ea9a98013ec", + "content": "{\"id\": \"bedc480a-23ea-4d79-8fcb-6ea9a98013ec\", \"role\": \"assistant\", \"content\": [{\"text\": \"aws-config-cost-optimization-review-123456789012-2026-09-29.md\\n\\nThat's the filename I'd generate \\u2014 I haven't run any review, just naming the artifact as requested. Let me know if you'd like me to actually kick off that cost optimization review.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:08:19.580000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "b0c95065-ebd4-425a-9714-458dc42bdb7a", + "executionId": "9cb48457-19fa-4086-b41e-967432a08ae0", + "recordId": "a67f26fc-2857-467d-b497-4caf1b00bfbc", + "content": "{\"id\": \"86a64167-19e9-42d2-8d1f-3ca49ec3681b\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"aws-config-cost-optimization-review-123456789012-2026-09-29.md\\n\\nThat's the filename I'd generate \\u2014 I haven't run any review, just naming the artifact as requested. Let me know if you'd like me to actually kick off that cost optimization review.\"}]}", + "createdAt": "2026-09-29T09:08:19.650000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-billing-model/with_skill/functional-tests-results.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-billing-model/with_skill/functional-tests-results.json new file mode 100644 index 00000000..53970e5d --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-billing-model/with_skill/functional-tests-results.json @@ -0,0 +1,66 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "config-cost-billing-model", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "failed", + "message": "Skill 'config-cost-optimization' was NOT triggered (no skills were loaded)", + "skill_loads_found": 0 + }, + "expected_output": { + "result": "passed", + "reasoning": "The agent correctly identifies daily recording as cheaper for high-churn resources, explains AWS Config bills per configuration item (CI), notes continuous recording creates a CI per change while daily recording caps at one CI per resource per day, and discusses the cost-vs-granularity tradeoff. This matches the expected output's core reasoning almost exactly.", + "evidence": "\"Continuous recording creates a new configuration item every time the resource's configuration changes... Daily recording creates at most one configuration item per resource per day, capturing the latest state regardless of how many times it changed in between... continuous recording multiplies your CI count \u2014 and therefore your bill \u2014 by however many times that resource changes per day.\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response identifies daily recording as usually cheaper for a high-churn resource", + "evaluator": "llm", + "passed": true, + "evidence": "The response states: 'For a resource type that changes many times per day, daily recording is almost always cheaper \u2014 and it's not close.'", + "reasoning": "The agent directly identifies daily recording as cheaper for high-churn resources.", + "confidence": "high" + }, + { + "text": "The response explains that continuous recording bills every change while daily bills at most one configuration item per resource per day", + "evaluator": "llm", + "passed": true, + "evidence": "The response states: 'Continuous recording creates a new configuration item every time the resource's configuration changes... Daily recording creates at most one configuration item per resource per day, capturing the latest state regardless of how many times it changed in between.'", + "reasoning": "This directly matches the assertion's claim about continuous billing every change versus daily capping at one CI per resource per day.", + "confidence": "high" + }, + { + "text": "The response notes that daily's higher per-CI price is outweighed by the once-per-day cap for high-churn resources", + "evaluator": "llm", + "passed": false, + "evidence": "The response never mentions that daily recording has a higher per-CI price; it only discusses the CI count difference (billed per CI, continuous multiplies CIs, daily caps at one CI/day). There is no mention of a per-unit price differential between continuous and daily recording.", + "reasoning": "The assertion requires the response to note that daily has a higher per-CI price that is outweighed by the once-per-day cap. The output does not mention any per-CI price difference between the two modes at all -- it only discusses billing by CI count under the assumption of a uniform per-CI cost. This specific point about differing per-CI pricing is absent.", + "confidence": "high" + } + ], + "summary": { + "passed": 2, + "failed": 1, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 0.6667 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.6%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-billing-model/with_skill/outputs/journal_records.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-billing-model/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..ac246a2e --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-billing-model/with_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "8049d8cc-15e8-465a-bd6e-1f220fa08cc8", + "executionId": "0401f1b2-78ce-4848-ab29-39c1be9b99df", + "recordId": "4c13bac3-2e87-40d7-92c1-fa5ceb667ecc", + "content": "{\"id\": \"4c13bac3-2e87-40d7-92c1-fa5ceb667ecc\", \"role\": \"user\", \"content\": [{\"text\": \"For an AWS Config resource type that changes many times per day, which recording mode is usually cheaper - continuous or daily - and why? No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:05:59.597000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "8049d8cc-15e8-465a-bd6e-1f220fa08cc8", + "executionId": "0401f1b2-78ce-4848-ab29-39c1be9b99df", + "recordId": "ef64a8d0-605e-49a7-8b14-4b41f1ad5352", + "content": "{\"id\": \"1d77ec6f-1fe6-4f61-b315-a07813a14986\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"AWS Config recording mode cost comparison guide\"}]}", + "createdAt": "2026-09-29T09:06:00.194000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "8049d8cc-15e8-465a-bd6e-1f220fa08cc8", + "executionId": "0401f1b2-78ce-4848-ab29-39c1be9b99df", + "recordId": "ea24245e-c38b-40f2-bf17-e038edc8af7c", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:06:11.083000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "8049d8cc-15e8-465a-bd6e-1f220fa08cc8", + "executionId": "0401f1b2-78ce-4848-ab29-39c1be9b99df", + "recordId": "82ee09e2-c6e1-46b2-9451-750c3a4342fc", + "content": "{\"id\": \"82ee09e2-c6e1-46b2-9451-750c3a4342fc\", \"role\": \"assistant\", \"content\": [{\"text\": \"For a resource type that changes many times per day, **daily recording is almost always cheaper** \\u2014 and it's not close.\\n\\n**Why:**\\n\\nAWS Config bills per **configuration item (CI)** recorded, not per API call or per resource.\\n\\n- **Continuous recording** creates a new configuration item every time the resource's configuration changes \\u2014 so if a resource changes 20 times a day, you get 20 billable CIs for that resource that day.\\n- **Daily recording** creates at most **one configuration item per resource per day**, capturing the latest state regardless of how many times it changed in between.\\n\\nSo for a high-churn resource type (e.g., something like ECS task definitions, EC2 instances behind autoscaling, or frequently-updated security groups), continuous recording multiplies your CI count \\u2014 and therefore your bill \\u2014 by however many times that resource changes per day. Daily recording flattens that to a constant 1 CI/resource/day, regardless of churn.\\n\\n**The tradeoff:** you lose the intra-day change history \\u2014 daily recording only gives you the end-of-day snapshot, not every intermediate state. So it's a cost-vs-granularity decision:\\n- If you need to know about every individual change (for compliance audit trails, security investigations, etc.), continuous is worth the extra cost.\\n- If you just need periodic drift/compliance snapshots and don't care about every intermediate change, daily recording is the cheaper choice for high-churn resource types.\\n\\nIf you want, I can look at your actual Config recorder setup and quantify which resource types would save the most money by switching to daily recording \\u2014 that requires pulling in your account data though.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:11.157000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "8049d8cc-15e8-465a-bd6e-1f220fa08cc8", + "executionId": "0401f1b2-78ce-4848-ab29-39c1be9b99df", + "recordId": "54a8994d-00f9-4fe4-a9ac-b1c8c668e462", + "content": "{\"id\": \"931407e2-3bb7-4341-bfb3-26f54aad4b41\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"For a resource type that changes many times per day, **daily recording is almost always cheaper** \\u2014 and it's not close.\\n\\n**Why:**\\n\\nAWS Config bills per **configuration item (CI)** recorded, not per API call or per resource.\\n\\n- **Continuous recording** creates a new configuration item every time the resource's configuration changes \\u2014 so if a resource changes 20 times a day, you get 20 billable CIs for that resource that day.\\n- **Daily recording** creates at most **one configuration item per resource per day**, capturing the latest state regardless of how many times it changed in between.\\n\\nSo for a high-churn resource type (e.g., something like ECS task definitions, EC2 instances behind autoscaling, or frequently-updated security groups), continuous recording multiplies your CI count \\u2014 and therefore your bill \\u2014 by however many times that resource changes per day. Daily recording flattens that to a constant 1 CI/resource/day, regardless of churn.\\n\\n**The tradeoff:** you lose the intra-day change history \\u2014 daily recording only gives you the end-of-day snapshot, not every intermediate state. So it's a cost-vs-granularity decision:\\n- If you need to know about every individual change (for compliance audit trails, security investigations, etc.), continuous is worth the extra cost.\\n- If you just need periodic drift/compliance snapshots and don't care about every intermediate change, daily recording is the cheaper choice for high-churn resource types.\\n\\nIf you want, I can look at your actual Config recorder setup and quantify which resource types would save the most money by switching to daily recording \\u2014 that requires pulling in your account data though.\"}]}", + "createdAt": "2026-09-29T09:06:11.231000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-billing-model/without_skill/functional-tests-results.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-billing-model/without_skill/functional-tests-results.json new file mode 100644 index 00000000..93b3cf1d --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-billing-model/without_skill/functional-tests-results.json @@ -0,0 +1,61 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "config-cost-billing-model", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "failed", + "reasoning": "The expected output states that daily recording is usually cheaper for high-churn (many-changes-per-day) resources, because daily recording caps billing at one CI per resource per day regardless of how many changes occur, while continuous recording bills for every single change - so despite continuous having a lower per-CI price, the sheer volume of CIs for a frequently-changing resource makes continuous more expensive overall. The agent's response reaches the opposite conclusion, claiming continuous recording is usually cheaper for high-churn resources, and reasons that continuous doesn't multiply CI count while daily doesn't reduce delivery count in this scenario. This directly contradicts the expected reasoning and conclusion. The agent got the cost model backwards relative to the expected answer.", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response identifies daily recording as usually cheaper for a high-churn resource", + "evaluator": "llm", + "passed": false, + "evidence": "The agent states: 'For a resource type that changes many times a day, continuous recording is usually cheaper.' This directly contradicts the assertion that daily recording is identified as usually cheaper.", + "reasoning": "The assertion claims the response identifies daily recording as cheaper, but the response explicitly states the opposite - that continuous recording is cheaper for high-churn resources.", + "confidence": "high" + }, + { + "text": "The response explains that continuous recording bills every change while daily bills at most one configuration item per resource per day", + "evaluator": "llm", + "passed": true, + "evidence": "The response states: 'Continuous recording delivers a CI for every change...' and 'Daily recording doesn't save you deliveries in this case (you still get at most 1 CI/day either way)...' Also: 'with daily recording, AWS Config still generates one configuration item (CI) per calendar day that captures the latest state.'", + "reasoning": "The response clearly explains that continuous recording bills for every change while daily recording caps at one CI per day, matching the assertion's description of the billing mechanics.", + "confidence": "high" + }, + { + "text": "The response notes that daily's higher per-CI price is outweighed by the once-per-day cap for high-churn resources", + "evaluator": "llm", + "passed": false, + "evidence": "The response argues the opposite conclusion: 'Daily recording doesn't save you deliveries in this case... but you pay the higher per-CI rate for that daily snapshot' - concluding continuous is cheaper for high-churn resources, not that daily's cap outweighs its higher per-CI price.", + "reasoning": "The assertion requires the response to conclude that daily's once-per-day cap outweighs its higher per-CI price for high-churn resources (making daily cheaper). Instead, the response concludes continuous is cheaper because the daily cap doesn't provide savings once you're already at low change volume relative to the cap - the response's math and conclusion are inverted from what's asserted, and in fact represents a misunderstanding of how AWS Config's daily recording pricing model actually works (daily recording is generally cheaper for high-frequency resources precisely because it caps billable CIs at one per day regardless of how many actual changes occur).", + "confidence": "high" + } + ], + "summary": { + "passed": 1, + "failed": 2, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 0.3333 + } + } + }, + "metrics": { + "runtime": "11s", + "cost": "$0.10", + "context_window": { + "utilization": "4.0%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-billing-model/without_skill/outputs/journal_records.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-billing-model/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..5f45f5be --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-billing-model/without_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "f5bc1e18-ba66-4229-a9fd-d35527fbe072", + "executionId": "e4fd74e9-474f-49b3-9173-b00b3f5dfc52", + "recordId": "6a75d484-e481-415d-9241-ff1e6aa2cfd1", + "content": "{\"id\": \"6a75d484-e481-415d-9241-ff1e6aa2cfd1\", \"role\": \"user\", \"content\": [{\"text\": \"For an AWS Config resource type that changes many times per day, which recording mode is usually cheaper - continuous or daily - and why? No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:00.302000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "f5bc1e18-ba66-4229-a9fd-d35527fbe072", + "executionId": "e4fd74e9-474f-49b3-9173-b00b3f5dfc52", + "recordId": "35289d57-6820-4d09-9cac-3714a5d40375", + "content": "{\"id\": \"60bf279f-f7ff-43fb-a667-863ffb19b471\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"AWS Config Recording Modes Cost Comparison\"}]}", + "createdAt": "2026-09-29T09:06:00.784000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "f5bc1e18-ba66-4229-a9fd-d35527fbe072", + "executionId": "e4fd74e9-474f-49b3-9173-b00b3f5dfc52", + "recordId": "73603997-282c-48dc-9711-8ff9f1b259cf", + "content": "{\"id\": \"73603997-282c-48dc-9711-8ff9f1b259cf\", \"role\": \"assistant\", \"content\": [{\"text\": \"Let me verify the specifics of AWS Config's recording mode pricing before answering.\", \"type\": \"text\"}, {\"id\": \"tooluse_31UWx0nYy6kJpD1GeAWv0C\", \"tool_name\": \"verify_aws_claim\", \"input\": {\"claim\": \"AWS Config recording mode continuous vs daily pricing for frequently changing resource types\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:05.347000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "f5bc1e18-ba66-4229-a9fd-d35527fbe072", + "executionId": "e4fd74e9-474f-49b3-9173-b00b3f5dfc52", + "recordId": "be851738-0286-4bd3-8b84-4f035e273e69", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:06:05.427000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "f5bc1e18-ba66-4229-a9fd-d35527fbe072", + "executionId": "e4fd74e9-474f-49b3-9173-b00b3f5dfc52", + "recordId": "74e26ae1-de26-41dc-bb88-eb3acc3f3f2a", + "content": "{\"id\": \"7d64fe59-890e-4b30-bb1f-a3cbcbce813e\", \"role\": \"assistant\", \"block_type\": \"tool_summary\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_31UWx0nYy6kJpD1GeAWv0C\", \"status\": \"success\", \"content\": [{\"text\": \"{\\\"content\\\":{\\\"result\\\":[{\\\"rank_order\\\":1,\\\"title\\\":\\\"Best practices for analyzing AWS Config recording frequencies | AWS Cloud Operations Blog\\\",\\\"context\\\":\\\"### Baseline Change Frequency\\\\n\\\\nWhen you stop or override recording settings, you change recording frequency per resource type. And because AWS Config pricing for the recorder is per CI delivered per AWS account per AWS Region, you need to understand the frequency of change for each resource type to determine whether changing the frequency makes sense.\\\\n\\\\nConsider Amazon EMR or Amazon EKS. Creating a cluster is 1 CI, and terminating a cluster is 1 CI. At the time of publishing, the cost of continuous recording is $0.003 per CI delivered, and periodic recording is $0.012 per CI delivered. With scenario B, an ephemeral EC2 instance runs for more than 24 hours, like the cluster. For periodic recording to be more cost-effective, you need 3 other CIs every two days when an instance starts and stops, if those days do not align with when the cluster starts and stops. Changes like instance type modifications or tag updates usually don\\u2019t happen often enough to reduce your overall CI count\\\",\\\"url\\\":\\\"https://aws.amazon.com/blogs/mt/best-practices-for-analyzing-aws-config-recording-frequencies/\\\"},{\\\"rank_order\\\":2,\\\"title\\\":\\\"Recording AWS Resources with AWS Config\\\",\\\"context\\\":\\\"## Recording frequency for AWS Config\\\\n\\\\nAWS Config supports *Continuous recording* and *Daily\\\\nrecording*. Continuous recording allows you to record configuration changes\\\\ncontinuously whenever a change occurs. Daily recording allows you to receive a configuration\\\\nitem (CI) representing the most recent state of your resources over the last 24-hour period,\\\\nonly if it\\u2019s different from the previous CI recorded. For steps on how to change the recording\\\\nfrequency, see Changing Recording Frequency.\\\\n\\\\n**Continuous recording**\\\\n\\\\nSome benefits of continuous recording include:\\\\n\\\\n* **Real-time Monitoring**: Continuous recording can provide\\\\n immediate detection for unauthorized changes or unexpected alterations, which can enhance\\\\n your security and compliance efforts.\\\\n* **Detailed Analysis**: Continuous recording can allow you to perfom\\\\n in-depth analysis of configuration changes to your resources as they occur, which can\\\\n allow you to identify patterns and trends in the moment.\\\\n\\\\n**Daily recording**\\\\n\\\\nSome benefits of daily recording include:\\\\n\\\\n* **Minimal Disruption**: Daily recording can provide you with a more\\\\n mangeable flow of information, which can reduce the frequency of notifications and alert\\\\n fatigue.\\\\n* **Cost Efficiency**: Daily recording can provide you with the\\\\n flexibility to record changes to your resources at at a lower frequency, which can reduce\\\\n costs related to the number of configuration changes recorded.\\\\n\\\\n**Note:**\\\\n\\\\nAWS Firewall Manager depends on continuous recording to monitor your resources. If you are using\\\\nFirewall Manager, it is recommended that you set the recording frequency to Continuous\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/config/latest/developerguide/select-resources.html\\\"},{\\\"rank_order\\\":3,\\\"title\\\":\\\"How to record resource configuration changes periodically with AWS Config | AWS Cloud Operations Blog\\\",\\\"context\\\":\\\"## AWS Cloud Operations Blog\\\\n\\\\n# How to record resource configuration changes periodically with AWS Config\\\\n\\\\nAWS Config is a service that tracks configuration changes of AWS resources in your AWS account or across your AWS Organizations. AWS Config uses the configuration recorder to detect changes of your resources and track them as configuration items (CIs). Given the increasing complexity of cloud infrastructure, the number of resource configuration changes being made has grown exponentially. Workloads are becoming more dynamic in nature as they involve creating, updating, and deleting resources over short time intervals. In the past, configuration recorder only supported continuous recording which captured every change to tracked resources as it happened, even for non-production.\\\\n\\\\nToday, we are excited to announce periodic recording for AWS Config, a new feature which allows you the option to set the frequency of the configuration recorder to daily recording. Rather than recording and updating configuration items continuously, you will receive a configuration item representing the most recent state of the instance over the 24-hour period if it\\u2019s different from the previous state recorded. If you create and delete a resource that has periodic recording configured for its resource type within the 24-hour period, there will be no configuration item generated. With periodic recording, you have the option to set the default recording frequency to daily for all resource types with customizable overrides or you can configure it per resource type. This allows you to specify if a resource type should be continuously tracked, if it is important for compliance and security for example, or if a resource type can be tracked periodically instead, such as Amazon EC2 instances in a non-production account.\\\\n\\\\nSome of the benefits of periodic recording include:\\\\n\\\\n* **Cost Efficiency**: Daily recording can provide you with the flexibility to record changes to your resources at a lower frequency, which can reduce costs related to the number of configuration changes recorded. It is important to note that periodic recording is priced differently from continuous recording. See the AWS Config pricing page for more details.\\\\n* **Minimal Disruption**: Daily recording can provide you with a more manageable flow of information, which can reduce the frequency of notifications and alert fatigue.\\\\n\\\\nIt is important to note that the decision to use daily or continuous recording for a resource type should take security and compliance requirements into consideration. If you need real-time monitoring or detailed analysis of your resource types, we recommend using continuous recording instead. See the Recording Frequency page for more information.\\\\n\\\\nIn this post, we will demonstrate how to get started with AWS Config periodic recording by updating your existing configuration recorder in the AWS Console to record\\\\n\\\\n*[truncated \\u2014 additional content omitted]*\\\",\\\"url\\\":\\\"https://aws.amazon.com/blogs/mt/how-to-record-resource-configuration-changes-periodically-with-aws-config/\\\"}]}}\"}]}], \"label\": \"Verify AWS Config recording mode pricing behavior in documentation\"}", + "createdAt": "2026-09-29T09:06:06.764000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "f5bc1e18-ba66-4229-a9fd-d35527fbe072", + "executionId": "e4fd74e9-474f-49b3-9173-b00b3f5dfc52", + "recordId": "d1ce7a5e-9f49-4942-b72b-a67d187ebe70", + "content": "{\"id\": \"d1ce7a5e-9f49-4942-b72b-a67d187ebe70\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_31UWx0nYy6kJpD1GeAWv0C\", \"content\": \"[{'text': '{\\\"content\\\":{\\\"result\\\":[{\\\"rank_order\\\":1,\\\"title\\\":\\\"Best practices for analyzing AWS Config recording frequencies | AWS Cloud Operations Blog\\\",\\\"context\\\":\\\"### Baseline Change Frequency\\\\\\\\n\\\\\\\\nWhen you stop or override recording settings, you change recording frequency per resource type. And because AWS Config pricing for the recorder is per CI delivered per AWS account per AWS Region, you need to understand the frequency of change for each resource type to determine whether changing the frequency makes sense.\\\\\\\\n\\\\\\\\nConsider Amazon EMR or Amazon EKS. Creating a cluster is 1 CI, and terminating a cluster is 1 CI. At the time of publishing, the cost of continuous recording is $0.003 per CI delivered, and periodic recording is $0.012 per CI delivered. With scenario B, an ephemeral EC2 instance runs for more than 24 hours, like the cluster. For periodic recording to be more cost-effective, you need 3 other CIs every two days when an instance starts and stops, if those days do not align with when the cluster starts and stops. Changes like instance type modifications or tag updates usually don\\u2019t happen often enough to reduce your overall CI count\\\",\\\"url\\\":\\\"https://aws.amazon.com/blogs/mt/best-practices-for-analyzing-aws-config-recording-frequencies/\\\"},{\\\"rank_order\\\":2,\\\"title\\\":\\\"Recording AWS Resources with AWS Config\\\",\\\"context\\\":\\\"## Recording frequency for AWS Config\\\\\\\\n\\\\\\\\nAWS Config supports *Continuous recording* and *Daily\\\\\\\\nrecording*. Continuous recording allows you to record configuration changes\\\\\\\\ncontinuously whenever a change occurs. Daily recording allows you to receive a configuration\\\\\\\\nitem (CI) representing the most recent state of your resources over the last 24-hour period,\\\\\\\\nonly if it\\u2019s different from the previous CI recorded. For steps on how to change the recording\\\\\\\\nfrequency, see Changing Recording Frequency.\\\\\\\\n\\\\\\\\n**Continuous recording**\\\\\\\\n\\\\\\\\nSome benefits of continuous recording include:\\\\\\\\n\\\\\\\\n* **Real-time Monitoring**: Continuous recording can provide\\\\\\\\n immediate detection for unauthorized changes or unexpected alterations, which can enhance\\\\\\\\n your security and compliance efforts.\\\\\\\\n* **Detailed Analysis**: Continuous recording can allow you to perfom\\\\\\\\n in-depth analysis of configuration changes to your resources as they occur, which can\\\\\\\\n allow you to identify patterns and trends in the moment.\\\\\\\\n\\\\\\\\n**Daily recording**\\\\\\\\n\\\\\\\\nSome benefits of daily recording include:\\\\\\\\n\\\\\\\\n* **Minimal Disruption**: Daily recording can provide you with a more\\\\\\\\n mangeable flow of information, which can reduce the frequency of notifications and alert\\\\\\\\n fatigue.\\\\\\\\n* **Cost Efficiency**: Daily recording can provide you with the\\\\\\\\n flexibility to record changes to your resources at at a lower frequency, which can reduce\\\\\\\\n costs related to the number of configuration changes recorded.\\\\\\\\n\\\\\\\\n**Note:**\\\\\\\\n\\\\\\\\nAWS Firewall Manager depends on continuous recording to monitor your resources. If you are using\\\\\\\\nFirewall Manager, it is recommended that you set the recording frequency to Continuous\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/config/latest/developerguide/select-resources.html\\\"},{\\\"rank_order\\\":3,\\\"title\\\":\\\"How to record resource configuration changes periodically with AWS Config | AWS Cloud Operations Blog\\\",\\\"context\\\":\\\"## AWS Cloud Operations Blog\\\\\\\\n\\\\\\\\n# How to record resource configuration changes periodically with AWS Config\\\\\\\\n\\\\\\\\nAWS Config is a service that tracks configuration changes of AWS resources in your AWS account or across your AWS Organizations. AWS Config uses the configuration recorder to detect changes of your resources and track them as configuration items (CIs). Given the increasing complexity of cloud infrastructure, the number of resource configuration changes being made has grown exponentially. 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With periodic recording, you have the option to set the default recording frequency to daily for all resource types with customizable overrides or you can configure it per resource type. This allows you to specify if a resource type should be continuously tracked, if it is important for compliance and security for example, or if a resource type can be tracked periodically instead, such as Amazon EC2 instances in a non-production account.\\\\\\\\n\\\\\\\\nSome of the benefits of periodic recording include:\\\\\\\\n\\\\\\\\n* **Cost Efficiency**: Daily recording can provide you with the flexibility to record changes to your resources at a lower frequency, which can reduce costs related to the number of configuration changes recorded. It is important to note that periodic recording is priced differently from continuous recording. See the AWS Config pricing page for more details.\\\\\\\\n* **Minimal Disruption**: Daily recording can provide you with a more manageable flow of information, which can reduce the frequency of notifications and alert fatigue.\\\\\\\\n\\\\\\\\nIt is important to note that the decision to use daily or continuous recording for a resource type should take security and compliance requirements into consideration. If you need real-time monitoring or detailed analysis of your resource types, we recommend using continuous recording instead. See the Recording Frequency page for more information.\\\\\\\\n\\\\\\\\nIn this post, we will demonstrate how to get started with AWS Config periodic recording by updating your existing configuration recorder in the AWS Console to record\\\\\\\\n\\\\\\\\n*[truncated \\u2014 additional content omitted]*\\\",\\\"url\\\":\\\"https://aws.amazon.com/blogs/mt/how-to-record-resource-configuration-changes-periodically-with-aws-config/\\\"}]}}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:16.606000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "f5bc1e18-ba66-4229-a9fd-d35527fbe072", + "executionId": "e4fd74e9-474f-49b3-9173-b00b3f5dfc52", + "recordId": "8c95c3e0-feb0-488e-b8f7-7515320679c9", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 4.0, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:06:16.696000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "f5bc1e18-ba66-4229-a9fd-d35527fbe072", + "executionId": "e4fd74e9-474f-49b3-9173-b00b3f5dfc52", + "recordId": "303a2123-a12b-4b7b-9267-39643816508d", + "content": "{\"id\": \"303a2123-a12b-4b7b-9267-39643816508d\", \"role\": \"assistant\", \"content\": [{\"text\": \"For a resource type that changes many times a day, **continuous recording is usually cheaper**.\\n\\nHere's why: with daily recording, AWS Config still generates one configuration item (CI) per calendar day that captures the latest state \\u2014 but at a *higher* per-CI price than continuous recording (the blog example cites $0.003/CI for continuous vs. $0.012/CI for daily, roughly 4x). Daily recording only pays off when a resource type changes infrequently \\u2014 specifically, when it changes **less than roughly once every 4 days** on average \\u2014 so you're collapsing many potential CIs into far fewer, cheaper-per-day deliveries.\\n\\nOnce a resource type changes multiple times per day:\\n- **Continuous recording** delivers a CI for every change, but at the lower per-CI rate, and the CI count doesn't multiply beyond the actual number of changes.\\n- **Daily recording** doesn't save you deliveries in this case (you still get at most 1 CI/day either way), but you pay the higher per-CI rate for that daily snapshot \\u2014 and you lose real-time visibility into the intermediate changes.\\n\\nSo the crossover point is about change frequency: daily recording wins when changes happen less often than every few days; continuous recording wins once changes happen multiple times per day, since you're paying the higher periodic rate for no reduction in CI volume \\u2014 you just lose granularity.\\n\\nOne caveat: if security/compliance needs (e.g., AWS Firewall Manager) require real-time change detection, continuous is required regardless of cost.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:16.770000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "f5bc1e18-ba66-4229-a9fd-d35527fbe072", + "executionId": "e4fd74e9-474f-49b3-9173-b00b3f5dfc52", + "recordId": "e879c2a1-409a-4de6-8ffc-a28bd4b63bd0", + "content": "{\"id\": \"e319f805-4a57-49ce-9fc1-27ab3b8c3b08\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"For a resource type that changes many times a day, **continuous recording is usually cheaper**.\\n\\nHere's why: with daily recording, AWS Config still generates one configuration item (CI) per calendar day that captures the latest state \\u2014 but at a *higher* per-CI price than continuous recording (the blog example cites $0.003/CI for continuous vs. $0.012/CI for daily, roughly 4x). Daily recording only pays off when a resource type changes infrequently \\u2014 specifically, when it changes **less than roughly once every 4 days** on average \\u2014 so you're collapsing many potential CIs into far fewer, cheaper-per-day deliveries.\\n\\nOnce a resource type changes multiple times per day:\\n- **Continuous recording** delivers a CI for every change, but at the lower per-CI rate, and the CI count doesn't multiply beyond the actual number of changes.\\n- **Daily recording** doesn't save you deliveries in this case (you still get at most 1 CI/day either way), but you pay the higher per-CI rate for that daily snapshot \\u2014 and you lose real-time visibility into the intermediate changes.\\n\\nSo the crossover point is about change frequency: daily recording wins when changes happen less often than every few days; continuous recording wins once changes happen multiple times per day, since you're paying the higher periodic rate for no reduction in CI volume \\u2014 you just lose granularity.\\n\\nOne caveat: if security/compliance needs (e.g., AWS Firewall Manager) require real-time change detection, continuous is required regardless of cost.\"}]}", + "createdAt": "2026-09-29T09:06:16.839000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-conformance-overlap/with_skill/functional-tests-results.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-conformance-overlap/with_skill/functional-tests-results.json new file mode 100644 index 00000000..b29d6a80 --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-conformance-overlap/with_skill/functional-tests-results.json @@ -0,0 +1,65 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "config-cost-conformance-overlap", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "failed", + "message": "Skill 'config-cost-optimization' was NOT triggered (no skills were loaded)", + "skill_loads_found": 0 + }, + "expected_output": { + "result": "passed", + "reasoning": "The agent correctly advises against merging the packs, and explicitly grounds this in the fact that AWS Config's compliance reporting is scoped per conformance pack (GetConformancePackComplianceDetails, console view), so merging would destroy the independent per-framework compliance reports auditors rely on. It frames the shared-rule duplication as the real (but modest/manageable) cost driver rather than a reason to merge \u2014 consistent with treating it as a small, deliberate cost of dual attestation \u2014 and proposes a way to reduce that cost (extracting shared rules into a common pack) while explicitly preserving separate auditor-facing reports. It also implicitly reinforces 'verify the compliance consumer' by repeatedly emphasizing that auditors consume reports per pack and any consolidation must preserve that. While the agent doesn't use the exact phrase 'INFO observation' or say the shared-rule cost is negligible in absolute terms, it does characterize it as a deliberate tradeoff worth keeping rather than something requiring merging. This substantively covers the key criteria: no-merge recommendation, per-pack compliance tracking, preserving auditor-facing separation, and cautioning on consolidation. Minor stylistic differences (e.g., proposing a shared-rule pack as a partial optimization) don't contradict the expected output's spirit \u2014 it still avoids merging the two framework packs into one combined report.", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response advises against merging the two packs into one (does not recommend consolidation as the fix)", + "evaluator": "llm", + "passed": true, + "evidence": "\"Short answer: no, don't merge them into a single conformance pack\" \u2014 the response explicitly advises against merging as the fix, instead recommending a restructuring approach (extracting shared rules into a common pack) rather than consolidation.", + "reasoning": "The agent clearly states 'no' to merging and does not recommend simple consolidation as the solution to cost reduction.", + "confidence": "high" + }, + { + "text": "The response explains that compliance is tracked per pack and separate per-framework attestation/reporting would be lost by merging", + "evaluator": "llm", + "passed": true, + "evidence": "\"AWS Config's compliance reporting (GetConformancePackComplianceDetails, the console compliance view) is scoped per conformance pack. A merged pack produces one compliance report covering both frameworks' rules mixed together \u2014 your NIST auditor and PCI auditor would each need to filter a shared report down to 'their' rules... which is more manual auditor-side work and more room for error\"", + "reasoning": "The response explicitly explains that compliance reporting is scoped per conformance pack in AWS Config, and that merging would collapse the separate per-framework reports into one mixed report, degrading the clean independent attestation each auditor currently relies on.", + "confidence": "high" + }, + { + "text": "The response characterizes the overlapping-rule evaluation cost as small relative to the lost per-framework reporting, or frames the overlap as acceptable/INFO rather than waste", + "evaluator": "llm", + "passed": false, + "evidence": "The response instead frames the overlap as real waste to be eliminated: \"AWS Config is already evaluating it twice... and billing you twice for it... The real saving is in removing the ~40% duplicate rule evaluations\" and recommends extracting shared rules into a 'common controls' pack specifically to eliminate this cost.", + "reasoning": "The assertion requires the response to characterize the overlap cost as small/acceptable relative to reporting value, or as INFO rather than waste. The agent does the opposite \u2014 it explicitly calls the duplication 'the actual cost driver' and 'waste' to be eliminated, treating it as a real cost problem worth solving via restructuring rather than downplaying it as negligible or acceptable.", + "confidence": "high" + } + ], + "summary": { + "passed": 2, + "failed": 1, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 0.6667 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.7%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-conformance-overlap/with_skill/outputs/journal_records.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-conformance-overlap/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..c639f6bb --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-conformance-overlap/with_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "babdebb7-44f4-47eb-a880-a5497ca0de15", + "executionId": "1fd730df-0c0b-4523-ab5e-653bff15c74c", + "recordId": "f73aa612-6ffd-4ea6-8545-35d16687ddca", + "content": "{\"id\": \"f73aa612-6ffd-4ea6-8545-35d16687ddca\", \"role\": \"user\", \"content\": [{\"text\": \"My AWS Config setup has two conformance packs - a NIST 800-53 pack and a PCI DSS pack - that share about 40% of their rules. Separate auditors consume the NIST compliance report and the PCI compliance report independently. To cut Config evaluation costs, should I merge them into one combined conformance pack? Explain the tradeoff. No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:00.354000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "babdebb7-44f4-47eb-a880-a5497ca0de15", + "executionId": "1fd730df-0c0b-4523-ab5e-653bff15c74c", + "recordId": "62f5e782-4af2-4bb8-9a13-96896d6759ef", + "content": "{\"id\": \"44be48bf-63f1-43ae-b0d2-a82ca72a646e\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"AWS Config conformance pack consolidation cost tradeoff\"}]}", + "createdAt": "2026-09-29T09:06:00.922000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "babdebb7-44f4-47eb-a880-a5497ca0de15", + "executionId": "1fd730df-0c0b-4523-ab5e-653bff15c74c", + "recordId": "7e5ae9bf-a791-48ad-ac4c-4cf8ee371db4", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.7, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:06:15.438000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "babdebb7-44f4-47eb-a880-a5497ca0de15", + "executionId": "1fd730df-0c0b-4523-ab5e-653bff15c74c", + "recordId": "b5a7c5dc-0b8e-4250-9250-235feb03464f", + "content": "{\"id\": \"b5a7c5dc-0b8e-4250-9250-235feb03464f\", \"role\": \"assistant\", \"content\": [{\"text\": \"Short answer: no, don't merge them into a single conformance pack \\u2014 the cost savings you're chasing come from deduplicating the *shared rules*, not from collapsing the packs themselves. You can eliminate the overlap while keeping the two compliance reports fully separate.\\n\\n**Why merging the packs is the wrong lever**\\n\\nConformance pack cost is driven by config-rule evaluations, and evaluation cost is per unique rule instance, not per pack. If a rule like `iam-password-policy` or `encrypted-volumes` appears in both packs today, AWS Config is already evaluating it twice \\u2014 once under each pack's deployment \\u2014 and billing you twice for it. Merging the two packs into one doesn't inherently fix that; it just relocates the duplication into a single pack unless you also de-duplicate rules during the merge. The real saving is in removing the ~40% duplicate rule evaluations, which you can do without touching pack boundaries at all.\\n\\n**The tradeoff if you did merge**\\n\\n- **Pro:** One set of rule deployments to manage; the truly duplicate rules disappear naturally since a merged pack template would only declare each rule once.\\n- **Con:** You lose the clean separation your auditors rely on. AWS Config's compliance reporting (`GetConformancePackComplianceDetails`, the console compliance view) is scoped *per conformance pack*. A merged pack produces one compliance report covering both frameworks' rules mixed together \\u2014 your NIST auditor and PCI auditor would each need to filter a shared report down to \\\"their\\\" rules by rule name/ID, which is more manual auditor-side work and more room for error (e.g., a rule renamed or removed for one framework silently affecting the other's evidence trail).\\n- **Con:** Independent lifecycle is harder \\u2014 if PCI updates a control and you need to swap a rule's parameters, you now have to verify that change doesn't affect the NIST-side consumption of that same shared rule.\\n\\n**What I'd do instead**\\n\\n1. Identify the overlapping rule set between the two packs (same rule identifier/source, even if named differently in each template).\\n2. Pull the shared rules out into their own thin \\\"common controls\\\" conformance pack, deployed once.\\n3. Slim the NIST and PCI packs down to only their framework-specific rules.\\n4. Each auditor still gets a clean, independently-scoped compliance report for their pack \\u2014 but now it's two slim packs plus one shared pack instead of two full packs with 40% duplication. You still cut evaluation costs on the overlapping rules without merging reporting scopes.\\n\\nThis keeps auditor-facing reports separate while eliminating the actual cost driver (duplicate evaluations). Want me to go deeper \\u2014 I can run a full Config cost-optimization pass that pulls in real rule names, evaluation counts, and quantifies the savings from this restructuring against your actual account.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:15.524000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "babdebb7-44f4-47eb-a880-a5497ca0de15", + "executionId": "1fd730df-0c0b-4523-ab5e-653bff15c74c", + "recordId": "26177397-e785-41e1-a277-966a2969ae06", + "content": "{\"id\": \"8fbdcaef-0370-4ea3-996f-d5241b2346af\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"Short answer: no, don't merge them into a single conformance pack \\u2014 the cost savings you're chasing come from deduplicating the *shared rules*, not from collapsing the packs themselves. You can eliminate the overlap while keeping the two compliance reports fully separate.\\n\\n**Why merging the packs is the wrong lever**\\n\\nConformance pack cost is driven by config-rule evaluations, and evaluation cost is per unique rule instance, not per pack. If a rule like `iam-password-policy` or `encrypted-volumes` appears in both packs today, AWS Config is already evaluating it twice \\u2014 once under each pack's deployment \\u2014 and billing you twice for it. Merging the two packs into one doesn't inherently fix that; it just relocates the duplication into a single pack unless you also de-duplicate rules during the merge. The real saving is in removing the ~40% duplicate rule evaluations, which you can do without touching pack boundaries at all.\\n\\n**The tradeoff if you did merge**\\n\\n- **Pro:** One set of rule deployments to manage; the truly duplicate rules disappear naturally since a merged pack template would only declare each rule once.\\n- **Con:** You lose the clean separation your auditors rely on. AWS Config's compliance reporting (`GetConformancePackComplianceDetails`, the console compliance view) is scoped *per conformance pack*. A merged pack produces one compliance report covering both frameworks' rules mixed together \\u2014 your NIST auditor and PCI auditor would each need to filter a shared report down to \\\"their\\\" rules by rule name/ID, which is more manual auditor-side work and more room for error (e.g., a rule renamed or removed for one framework silently affecting the other's evidence trail).\\n- **Con:** Independent lifecycle is harder \\u2014 if PCI updates a control and you need to swap a rule's parameters, you now have to verify that change doesn't affect the NIST-side consumption of that same shared rule.\\n\\n**What I'd do instead**\\n\\n1. Identify the overlapping rule set between the two packs (same rule identifier/source, even if named differently in each template).\\n2. Pull the shared rules out into their own thin \\\"common controls\\\" conformance pack, deployed once.\\n3. Slim the NIST and PCI packs down to only their framework-specific rules.\\n4. Each auditor still gets a clean, independently-scoped compliance report for their pack \\u2014 but now it's two slim packs plus one shared pack instead of two full packs with 40% duplication. You still cut evaluation costs on the overlapping rules without merging reporting scopes.\\n\\nThis keeps auditor-facing reports separate while eliminating the actual cost driver (duplicate evaluations). Want me to go deeper \\u2014 I can run a full Config cost-optimization pass that pulls in real rule names, evaluation counts, and quantifies the savings from this restructuring against your actual account.\"}]}", + "createdAt": "2026-09-29T09:06:15.620000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-conformance-overlap/without_skill/functional-tests-results.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-conformance-overlap/without_skill/functional-tests-results.json new file mode 100644 index 00000000..0e7aba02 --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-conformance-overlap/without_skill/functional-tests-results.json @@ -0,0 +1,62 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "config-cost-conformance-overlap", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "passed", + "reasoning": "The agent's response matches the expected output closely. It clearly advises against merging (\"no, don't merge them\"), explains that each conformance pack generates its own compliance report scoped to that pack's rules, and that merging would break independent per-auditor reporting (mixing NIST and PCI rules together, requiring manual filtering). It frames the cost savings as small/marginal (\"cost savings are usually small in absolute terms... rounding error compared to the operational risk\"), consistent with treating it as a small deliberate cost of dual attestation. It also recommends verifying actual cost/consumer context before acting (\"Worth actually pulling your Config cost data to see if this is even meaningful,\" and offers to check actual costs and rule counts), which aligns with 'recommends verifying the compliance consumer before any consolidation.' It also offers alternative ways to reduce cost without merging (shared rule templates, scoping), which supports the maintain-separation recommendation while addressing the underlying cost concern. All key elements of the expected output are substantively present.", + "evidence": "\"Short answer: no, don't merge them \u2014 the cost savings are marginal and you'd break the thing that actually matters here, which is clean per-auditor reporting.\" ... \"Each conformance pack generates its own compliance summary ... scoped to that pack's rules. NIST and PCI auditors today each get a clean, scoped report matching their framework's rule set.\" ... \"Cost savings are usually small in absolute terms... often a rounding error compared to the operational risk you're introducing. Worth actually pulling your Config cost data to see if this is even meaningful in your case\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response advises against merging the two packs into one (does not recommend consolidation as the fix)", + "evaluator": "llm", + "passed": true, + "evidence": "\"Short answer: no, don't merge them \u2014 the cost savings are marginal and you'd break the thing that actually matters here, which is clean per-auditor reporting.\"", + "reasoning": "The agent explicitly and clearly recommends against merging the packs, stating 'no, don't merge them' at the very start of the response.", + "confidence": "high" + }, + { + "text": "The response explains that compliance is tracked per pack and separate per-framework attestation/reporting would be lost by merging", + "evaluator": "llm", + "passed": true, + "evidence": "\"Each conformance pack generates its own compliance summary (describe_conformance_pack_compliance / the console report) scoped to that pack's rules. NIST and PCI auditors today each get a clean, scoped report matching their framework's rule set. If you merge into one pack: Auditors would see rules from the other framework mixed into their compliance report...\"", + "reasoning": "The response explicitly explains that compliance is tracked per-pack and that merging would break the separate, per-framework reporting that auditors currently rely on.", + "confidence": "high" + }, + { + "text": "The response characterizes the overlapping-rule evaluation cost as small relative to the lost per-framework reporting, or frames the overlap as acceptable/INFO rather than waste", + "evaluator": "llm", + "passed": true, + "evidence": "\"Cost savings are usually small in absolute terms... the dollar savings from deduplicating 40% of rules across two packs is often a rounding error compared to the operational risk you're introducing.\"", + "reasoning": "The agent directly frames the overlapping-rule cost savings as small/marginal ('rounding error') relative to the operational risk of losing clean per-framework reporting, matching the assertion's requirement.", + "confidence": "high" + } + ], + "summary": { + "passed": 3, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.6%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-conformance-overlap/without_skill/outputs/journal_records.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-conformance-overlap/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..c475792d --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-conformance-overlap/without_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "69be81e1-8843-4b3a-8c50-117fe9bc8ae3", + "executionId": "d132fda1-aaa9-4737-bd71-da916726e4de", + "recordId": "3803597f-fa2b-40f7-a97a-b171b302c477", + "content": "{\"id\": \"3803597f-fa2b-40f7-a97a-b171b302c477\", \"role\": \"user\", \"content\": [{\"text\": \"My AWS Config setup has two conformance packs - a NIST 800-53 pack and a PCI DSS pack - that share about 40% of their rules. Separate auditors consume the NIST compliance report and the PCI compliance report independently. To cut Config evaluation costs, should I merge them into one combined conformance pack? Explain the tradeoff. No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:01.264000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "69be81e1-8843-4b3a-8c50-117fe9bc8ae3", + "executionId": "d132fda1-aaa9-4737-bd71-da916726e4de", + "recordId": "aeaea301-79aa-4883-9d92-341661d2804e", + "content": "{\"id\": \"e8575dc9-e737-4583-8a1e-c296ab78e64d\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"AWS Config conformance pack consolidation cost tradeoff\"}]}", + "createdAt": "2026-09-29T09:06:01.886000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "69be81e1-8843-4b3a-8c50-117fe9bc8ae3", + "executionId": "d132fda1-aaa9-4737-bd71-da916726e4de", + "recordId": "fa002d0f-7205-412b-bd28-6fe4137bf6d1", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:06:20.122000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "69be81e1-8843-4b3a-8c50-117fe9bc8ae3", + "executionId": "d132fda1-aaa9-4737-bd71-da916726e4de", + "recordId": "85a42d87-59b8-4eea-8eda-5cebe6c0a2f2", + "content": "{\"id\": \"85a42d87-59b8-4eea-8eda-5cebe6c0a2f2\", \"role\": \"assistant\", \"content\": [{\"text\": \"Short answer: no, don't merge them \\u2014 the cost savings are marginal and you'd break the thing that actually matters here, which is clean per-auditor reporting. Let me walk through the tradeoff.\\n\\n**Why merging seems appealing**\\n\\nAWS Config conformance pack costs are driven by config rule evaluations, and if 40% of rules overlap between NIST 800-53 and PCI DSS, it looks like you're paying to evaluate the same controls twice. Deduplicating into one pack would cut evaluations for that shared 40%.\\n\\n**Why it's not actually a good trade**\\n\\n1. **Cost savings are usually small in absolute terms.** Config rule evaluation pricing is per rule evaluation, priced in fractions of a cent per evaluation. Unless you're running an enormous number of resources or a very large combined rule set, the dollar savings from deduplicating 40% of rules across two packs is often a rounding error compared to the operational risk you're introducing. Worth actually pulling your Config cost data to see if this is even meaningful in your case \\u2014 happy to check that.\\n\\n2. **You'd break independent auditor reporting.** This is the real issue. Each conformance pack generates its own compliance summary (`describe_conformance_pack_compliance` / the console report) scoped to *that pack's* rules. NIST and PCI auditors today each get a clean, scoped report matching their framework's rule set. If you merge into one pack:\\n - Auditors would see rules from the *other* framework mixed into their compliance report, which they may reject as out-of-scope noise or, worse, misinterpret.\\n - You lose the ability to say \\\"this pack = NIST controls only\\\" \\u2014 you'd need to manually filter the merged pack's output by rule name/tag for each auditor, which is manual work you don't have today.\\n - Any framework-specific packaging (control ID mappings, remediation SSM parameters tied to a specific pack's naming convention) gets harder to maintain cleanly.\\n\\n3. **Packs evolve independently.** NIST and PCI DSS get updated on different cadences by different bodies. If they're merged, a rule update for PCI could force you to touch a \\\"shared\\\" pack that NIST auditors also depend on, increasing change risk and requiring re-coordination across both audit tracks every time either framework changes.\\n\\n4. **Deployment/rollback blast radius increases.** One combined pack means a bad template change or a stack failure affects both compliance programs simultaneously instead of being isolated to one.\\n\\n**Better ways to cut the actual cost without merging**\\n\\n- Check if overlapping rules are **identical configurations** (same parameters) \\u2014 if so, you're likely already being evaluated once per resource per rule at the account level in some cases, not truly double-billed; worth verifying against your actual Config bill before assuming 2x cost.\\n- Narrow evaluation scope with resource **exclusion by tags** or **scoped rules** so you're not evaluating rules against resources that will never be in scope for one of the frameworks.\\n- If cost is still meaningful after that, keep the packs separate but manage the shared 40% as a **shared rule module/template** version-controlled once and deployed into both packs \\u2014 same maintenance win, zero reporting downside.\\n\\nWant me to pull your actual AWS Config evaluation costs and rule counts for these two packs so we can see whether the savings are even worth discussing?\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:20.210000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "69be81e1-8843-4b3a-8c50-117fe9bc8ae3", + "executionId": "d132fda1-aaa9-4737-bd71-da916726e4de", + "recordId": "12dcf794-e73a-42d5-adbd-fcad27336287", + "content": "{\"id\": \"fb6e7a3a-9df8-427b-9789-bc7f3598e237\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"Short answer: no, don't merge them \\u2014 the cost savings are marginal and you'd break the thing that actually matters here, which is clean per-auditor reporting. Let me walk through the tradeoff.\\n\\n**Why merging seems appealing**\\n\\nAWS Config conformance pack costs are driven by config rule evaluations, and if 40% of rules overlap between NIST 800-53 and PCI DSS, it looks like you're paying to evaluate the same controls twice. Deduplicating into one pack would cut evaluations for that shared 40%.\\n\\n**Why it's not actually a good trade**\\n\\n1. **Cost savings are usually small in absolute terms.** Config rule evaluation pricing is per rule evaluation, priced in fractions of a cent per evaluation. Unless you're running an enormous number of resources or a very large combined rule set, the dollar savings from deduplicating 40% of rules across two packs is often a rounding error compared to the operational risk you're introducing. Worth actually pulling your Config cost data to see if this is even meaningful in your case \\u2014 happy to check that.\\n\\n2. **You'd break independent auditor reporting.** This is the real issue. Each conformance pack generates its own compliance summary (`describe_conformance_pack_compliance` / the console report) scoped to *that pack's* rules. NIST and PCI auditors today each get a clean, scoped report matching their framework's rule set. If you merge into one pack:\\n - Auditors would see rules from the *other* framework mixed into their compliance report, which they may reject as out-of-scope noise or, worse, misinterpret.\\n - You lose the ability to say \\\"this pack = NIST controls only\\\" \\u2014 you'd need to manually filter the merged pack's output by rule name/tag for each auditor, which is manual work you don't have today.\\n - Any framework-specific packaging (control ID mappings, remediation SSM parameters tied to a specific pack's naming convention) gets harder to maintain cleanly.\\n\\n3. **Packs evolve independently.** NIST and PCI DSS get updated on different cadences by different bodies. If they're merged, a rule update for PCI could force you to touch a \\\"shared\\\" pack that NIST auditors also depend on, increasing change risk and requiring re-coordination across both audit tracks every time either framework changes.\\n\\n4. **Deployment/rollback blast radius increases.** One combined pack means a bad template change or a stack failure affects both compliance programs simultaneously instead of being isolated to one.\\n\\n**Better ways to cut the actual cost without merging**\\n\\n- Check if overlapping rules are **identical configurations** (same parameters) \\u2014 if so, you're likely already being evaluated once per resource per rule at the account level in some cases, not truly double-billed; worth verifying against your actual Config bill before assuming 2x cost.\\n- Narrow evaluation scope with resource **exclusion by tags** or **scoped rules** so you're not evaluating rules against resources that will never be in scope for one of the frameworks.\\n- If cost is still meaningful after that, keep the packs separate but manage the shared 40% as a **shared rule module/template** version-controlled once and deployed into both packs \\u2014 same maintenance win, zero reporting downside.\\n\\nWant me to pull your actual AWS Config evaluation costs and rule counts for these two packs so we can see whether the savings are even worth discussing?\"}]}", + "createdAt": "2026-09-29T09:06:20.313000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-negative-trigger/with_skill/functional-tests-results.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-negative-trigger/with_skill/functional-tests-results.json new file mode 100644 index 00000000..8035fb48 --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-negative-trigger/with_skill/functional-tests-results.json @@ -0,0 +1,19 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "config-cost-negative-trigger", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "passed", + "message": "Skill 'config-cost-optimization' was correctly NOT triggered", + "skill_loads_found": 0 + }, + "expected_output": null, + "assertions": null + }, + "metrics": null +} \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-negative-trigger/with_skill/outputs/journal_records.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-negative-trigger/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..c3a809f1 --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-negative-trigger/with_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "7cb87c00-df53-41da-bb9d-4dded5d10b68", + "executionId": "9ee25f84-7c1c-497a-ab6e-65d4e0886f7d", + "recordId": "5913db6d-357b-4168-b2f8-32daf1356f62", + "content": "{\"id\": \"5913db6d-357b-4168-b2f8-32daf1356f62\", \"role\": \"user\", \"content\": [{\"text\": \"Help me tune the parameter group on my Amazon RDS PostgreSQL instance to improve query performance.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:08:25.932000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "7cb87c00-df53-41da-bb9d-4dded5d10b68", + "executionId": "9ee25f84-7c1c-497a-ab6e-65d4e0886f7d", + "recordId": "77f96c4f-b084-4778-b1ff-5fbcd4242dcd", + "content": "{\"id\": \"3292f94a-5b57-482e-9608-b07306e04ec0\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"Tune Amazon RDS PostgreSQL parameter group performance\"}]}", + "createdAt": "2026-09-29T09:08:27.351000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "7cb87c00-df53-41da-bb9d-4dded5d10b68", + "executionId": "9ee25f84-7c1c-497a-ab6e-65d4e0886f7d", + "recordId": "28234788-fa69-4990-9831-cd6852f454d9", + "content": "{\"id\": \"28234788-fa69-4990-9831-cd6852f454d9\", \"role\": \"assistant\", \"content\": [{\"text\": \"I can help with that, but let's make sure we're tuning based on actual data rather than generic defaults \\u2014 the right parameter changes depend on what's actually bottlenecking your queries right now (memory pressure, connection overhead, checkpoint behavior, slow queries, etc.).\\n\\nLet me start by getting a picture of the instance and its current parameter group.\", \"type\": \"text\"}, {\"id\": \"tooluse_9ZXuXxy4OzXDzxg1CV7vuK\", \"tool_name\": \"use_aws\", \"input\": {\"service_name\": \"rds\", \"operation_name\": \"describe_db_instances\", \"parameters\": {}, \"aws_region\": \"us-east-1\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:08:31.289000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "7cb87c00-df53-41da-bb9d-4dded5d10b68", + "executionId": "9ee25f84-7c1c-497a-ab6e-65d4e0886f7d", + "recordId": "fa07503d-51c1-4cc7-9f78-c5840f8f348f", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:08:31.369000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "7cb87c00-df53-41da-bb9d-4dded5d10b68", + "executionId": "9ee25f84-7c1c-497a-ab6e-65d4e0886f7d", + "recordId": "9a974dbb-54ee-4eff-b6b2-e346352d02e5", + "content": "{\"id\": \"232a01a3-6198-4aa3-a0b3-f22bf67d5f33\", \"role\": \"assistant\", \"block_type\": \"tool_summary\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_9ZXuXxy4OzXDzxg1CV7vuK\", \"status\": \"success\", \"content\": [{\"text\": \"{\\\"650728049843\\\": {\\\"DBInstances\\\": []}}\"}]}], \"label\": \"List RDS instances in us-east-1 to find the PostgreSQL instance\"}", + "createdAt": "2026-09-29T09:08:32.084000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "7cb87c00-df53-41da-bb9d-4dded5d10b68", + "executionId": "9ee25f84-7c1c-497a-ab6e-65d4e0886f7d", + "recordId": "00666575-0edc-4afa-a67d-89c9c1355a51", + "content": "{\"id\": \"00666575-0edc-4afa-a67d-89c9c1355a51\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_9ZXuXxy4OzXDzxg1CV7vuK\", \"content\": \"[{'text': '{\\\"650728049843\\\": {\\\"DBInstances\\\": []}}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:08:36.406000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "7cb87c00-df53-41da-bb9d-4dded5d10b68", + "executionId": "9ee25f84-7c1c-497a-ab6e-65d4e0886f7d", + "recordId": "3e807bf1-467a-4a74-bb9d-ec1ad6862029", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.7, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:08:36.496000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "7cb87c00-df53-41da-bb9d-4dded5d10b68", + "executionId": "9ee25f84-7c1c-497a-ab6e-65d4e0886f7d", + "recordId": "45148369-9b28-4ad5-a278-65128b4c83d1", + "content": "{\"id\": \"45148369-9b28-4ad5-a278-65128b4c83d1\", \"role\": \"assistant\", \"content\": [{\"text\": \"It looks like there are no RDS instances in **us-east-1** on this account (650728049843). A few possibilities:\\n\\n- The instance is in a different region\\n- It's under a different AWS account associated with this agent space\\n- It's an Aurora PostgreSQL cluster rather than a standard RDS instance (those show up differently)\\n\\nCould you tell me which region your PostgreSQL instance is in, or share its identifier? That'll let me pull the right instance and its parameter group to start the tuning analysis.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:08:36.581000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "7cb87c00-df53-41da-bb9d-4dded5d10b68", + "executionId": "9ee25f84-7c1c-497a-ab6e-65d4e0886f7d", + "recordId": "afe39f76-61f0-4d25-a1c9-65dd2f05f61d", + "content": "{\"id\": \"db936cab-52a1-4155-bf4c-84299c7781a3\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"It looks like there are no RDS instances in **us-east-1** on this account (650728049843). A few possibilities:\\n\\n- The instance is in a different region\\n- It's under a different AWS account associated with this agent space\\n- It's an Aurora PostgreSQL cluster rather than a standard RDS instance (those show up differently)\\n\\nCould you tell me which region your PostgreSQL instance is in, or share its identifier? That'll let me pull the right instance and its parameter group to start the tuning analysis.\"}]}", + "createdAt": "2026-09-29T09:08:36.674000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-severity-definitions/with_skill/functional-tests-results.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-severity-definitions/with_skill/functional-tests-results.json new file mode 100644 index 00000000..4aa34be3 --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-severity-definitions/with_skill/functional-tests-results.json @@ -0,0 +1,80 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "config-cost-severity-definitions", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "passed", + "message": "Skill 'config-cost-optimization' was triggered as expected", + "skill_loads_found": 1 + }, + "expected_output": { + "result": "passed", + "reasoning": "The agent listed exactly the five severity levels CRITICAL, HIGH, MEDIUM, LOW, INFO in that order from most to least urgent, matching the expected output.", + "evidence": "\"1. **CRITICAL**... 2. **HIGH**... 3. **MEDIUM**... 4. **LOW**... 5. **INFO**\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "lists CRITICAL", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'CRITICAL'" + }, + { + "text": "lists HIGH", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'HIGH'" + }, + { + "text": "lists MEDIUM", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'MEDIUM'" + }, + { + "text": "lists LOW", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'LOW'" + }, + { + "text": "lists INFO", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'INFO'" + }, + { + "text": "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)", + "evaluator": "llm", + "passed": true, + "evidence": "The output lists: 1. CRITICAL, 2. HIGH, 3. MEDIUM, 4. LOW, 5. INFO \u2014 this is a correctly ordered sequence from most urgent (CRITICAL) to least urgent (INFO).", + "reasoning": "The assertion requires the five severity levels to appear in descending order of urgency, starting with CRITICAL and ending with INFO. The agent's response explicitly enumerates them in exactly this order: CRITICAL, HIGH, MEDIUM, LOW, INFO, satisfying the assertion.", + "confidence": "high" + } + ], + "summary": { + "passed": 6, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 6, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "4s", + "cost": "$0.04", + "context_window": { + "utilization": "4.4%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-severity-definitions/with_skill/outputs/journal_records.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-severity-definitions/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..b3347587 --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-severity-definitions/with_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "2a458092-304f-4eb1-9193-631a08b9612d", + "executionId": "ea0e1c92-365c-4f4e-945b-8a046964b4ad", + "recordId": "49895421-9f99-4567-bc81-a9c6d0c33666", + "content": "{\"id\": \"49895421-9f99-4567-bc81-a9c6d0c33666\", \"role\": \"user\", \"content\": [{\"text\": \"List the five severity levels the AWS Config cost optimization skill uses for its findings, in order from most to least urgent. No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:05:59.219000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "2a458092-304f-4eb1-9193-631a08b9612d", + "executionId": "ea0e1c92-365c-4f4e-945b-8a046964b4ad", + "recordId": "b7edea65-3388-43a7-a53b-667fe793cbd4", + "content": "{\"id\": \"ad7242d9-b526-4fe6-9e47-7ee79d36a886\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"AWS Config cost optimization severity levels\"}]}", + "createdAt": "2026-09-29T09:06:00.404000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "2a458092-304f-4eb1-9193-631a08b9612d", + "executionId": "ea0e1c92-365c-4f4e-945b-8a046964b4ad", + "recordId": "d295389b-b9ce-4bf5-96fa-588bd14e089a", + "content": "{\"id\": \"d295389b-b9ce-4bf5-96fa-588bd14e089a\", \"role\": \"assistant\", \"content\": [{\"id\": \"tooluse_Jvln5efInEKJzrVckUsuD0\", \"tool_name\": \"skill_read\", \"input\": {\"skill_id\": \"config-cost-optimization\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:03.102000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "2a458092-304f-4eb1-9193-631a08b9612d", + "executionId": "ea0e1c92-365c-4f4e-945b-8a046964b4ad", + "recordId": "473f39df-46ff-4167-9734-4ff6ca7069d4", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:06:03.177000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "2a458092-304f-4eb1-9193-631a08b9612d", + "executionId": "ea0e1c92-365c-4f4e-945b-8a046964b4ad", + "recordId": "db8e96df-7df0-411a-85b4-99a42acc227f", + "content": "{\"id\": \"331fd6a8-3623-4511-8fe7-43e5c38782f3\", \"role\": \"assistant\", \"block_type\": \"load_skill\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_Jvln5efInEKJzrVckUsuD0\", \"status\": \"success\", \"content\": [{\"text\": \"Done\"}]}], \"label\": \"Reading the AWS Config cost optimization skill for severity level definitions.\"}", + "createdAt": "2026-09-29T09:06:03.268000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "2a458092-304f-4eb1-9193-631a08b9612d", + "executionId": "ea0e1c92-365c-4f4e-945b-8a046964b4ad", + "recordId": "8b8650a6-bd8d-4df5-858e-be377017ed56", + "content": "{\"id\": \"8b8650a6-bd8d-4df5-858e-be377017ed56\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_Jvln5efInEKJzrVckUsuD0\", \"content\": \"[{'text': '{\\\"content\\\": \\\"---\\\\\\\\nname: config-cost-optimization\\\\\\\\ndescription: Identify and quantify AWS Config cost optimization opportunities.\\\\\\\\n Use this skill when a user asks to reduce, review, audit, or optimize AWS Config\\\\\\\\n spend, or reports an unexpected AWS Config cost or configuration-item increase.\\\\\\\\n Activate on requests like \\\\\\\\\\\"why is my AWS Config bill so high\\\\\\\\\\\", \\\\\\\\\\\"reduce Config\\\\\\\\n costs\\\\\\\\\\\", \\\\\\\\\\\"AWS Config cost review\\\\\\\\\\\", \\\\\\\\\\\"my configuration item count spiked\\\\\\\\\\\", \\\\\\\\\\\"should I\\\\\\\\n use daily or continuous Config recording\\\\\\\\\\\", or \\\\\\\\\\\"which resources are driving Config\\\\\\\\n cost\\\\\\\\\\\". This skill analyzes configuration recorders, recording frequency, recorded\\\\\\\\n resource types, Config rules, conformance packs, and the delivery S3 bucket through\\\\\\\\n read-only AWS APIs to surface high-churn configuration-item drivers, continuous-vs-\\\\\\\\n daily recording mismatches, over-broad resource recording, duplicate global-resource\\\\\\\\n recording, and redundant rules/conformance packs, producing a severity-ranked report\\\\\\\\n of savings.\\\\\\\\nmetadata:\\\\\\\\n author: holmalla\\\\\\\\n version: \\\\\\\\\\\"1.2.0\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.agent-types: \\\\\\\\\\\"Chat tasks, Evaluation\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.aws-services: \\\\\\\\\\\"AWS Config\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.technical-domains: \\\\\\\\\\\"Governance, Cost Optimization\\\\\\\\\\\"\\\\\\\\n---\\\\\\\\n\\\\\\\\n# AWS Config Cost Optimization\\\\\\\\n\\\\\\\\nIdentify, quantify, and prioritize AWS Config cost optimization opportunities aligned\\\\\\\\nwith [Optimize AWS Config costs](https://repost.aws/knowledge-center/optimize-aws-config),\\\\\\\\n[Cost optimization recommendations for AWS Config](https://aws.amazon.com/blogs/mt/cost-optimization-recommendations-for-aws-config/),\\\\\\\\nand [AWS Config pricing](https://aws.amazon.com/config/pricing/).\\\\\\\\n\\\\\\\\nThis skill uses **read-only Config, CloudWatch, S3, and Organizations APIs only**. It\\\\\\\\nnever starts, stops, or reconfigures a recorder, rule, or conformance pack \\\\\\\\u2014 all\\\\\\\\nremediation is delivered as recommendations for a human to review and apply.\\\\\\\\n\\\\\\\\n## When to Use\\\\\\\\n\\\\\\\\nActivate this skill when the user asks to:\\\\\\\\n- Reduce or optimize AWS Config costs\\\\\\\\n- Investigate an unexpected Config cost or configuration-item (CI) spike\\\\\\\\n- Decide between continuous and daily recording frequency\\\\\\\\n- Review which resource types are recorded, or which rules/conformance packs run\\\\\\\\n- Perform a Config cost review or FinOps assessment\\\\\\\\n\\\\\\\\n## How AWS Config Billing Works\\\\\\\\n\\\\\\\\nThe pricing model is the foundation of every finding below. The essentials:\\\\\\\\n\\\\\\\\n- **Configuration items (CIs)** are the dominant cost driver \\\\\\\\u2014 billed per CI recorded.\\\\\\\\n- **Recording frequency** sets the CI price and cadence: *continuous* bills a CI for\\\\\\\\n every change (~$0.003 each); *daily* bills at most one CI per resource per day\\\\\\\\n (~$0.012 each). For **high-churn** resources, daily is often materially cheaper\\\\\\\\n despite the higher sticker price; for low-churn resources continuous is usually\\\\\\\\n cheaper. The right choice is per-resource-type.\\\\\\\\n- **Config rule** and **conformance pack** evaluations are billed per evaluation.\\\\\\\\n- **S3 storage** holds configuration history and snapshots in the delivery bucket.\\\\\\\\n\\\\\\\\nFor the full charge table, per-mode pricing, and the high-churn reasoning the checks\\\\\\\\nrely on, load [references/billing-model.md](references/billing-model.md) when you need\\\\\\\\nto decide whether continuous or daily is cheaper for a resource type, or to explain a\\\\\\\\ncharge.\\\\\\\\n\\\\\\\\n## Workflow\\\\\\\\n\\\\\\\\nWork through these steps in order \\\\\\\\u2014 each depends on the output of the one before it.\\\\\\\\n\\\\\\\\n- [ ] **Step 1: Identify target scope.** Ask the user which accounts and Regions to\\\\\\\\n review, and whether this is a standalone account, an Organizations\\\\\\\\n management/delegated-administrator account (aggregator), or a member account. Accept\\\\\\\\n specific account IDs and Regions, \\\\\\\\\\\"all regions\\\\\\\\\\\", or \\\\\\\\\\\"organization\\\\\\\\\\\". If no scope is\\\\\\\\n given, default to the current account across all Regions with a 30-day analysis\\\\\\\\n window.\\\\\\\\n\\\\\\\\n- [ ] **Step 2: Inventory the Config setup.** Collect the recorder, rule, and\\\\\\\\n conformance-pack inventory per Region using read-only APIs, and capture recording\\\\\\\\n mode (and per-resource-type overrides), `allSupported`, `includeGlobalResourceTypes`\\\\\\\\n and how many Regions record globals, the recorded/excluded resource-type lists, rule\\\\\\\\n and conformance-pack counts, and the delivery bucket. For the exact API calls and\\\\\\\\n what each returns, load [references/data-collection.md](references/data-collection.md).\\\\\\\\n\\\\\\\\n- [ ] **Step 3: Collect cost and volume signals.** Attribute spend and identify the\\\\\\\\n CI drivers. Prefer Cost Explorer as the dollar signal, use Athena (or\\\\\\\\n `GetDiscoveredResourceCounts` as an approximate fallback) for CI-driver attribution,\\\\\\\\n and check S3 delivery-bucket size for storage. The exact signals, preferred order,\\\\\\\\n and fallbacks are in [references/data-collection.md](references/data-collection.md).\\\\\\\\n If Cost Explorer is unavailable, still report configuration findings and label\\\\\\\\n dollar impact as \\\\\\\\\\\"not quantified \\\\\\\\u2014 enable Cost Explorer for sizing\\\\\\\\\\\".\\\\\\\\n\\\\\\\\n- [ ] **Step 4: Analyze cost optimization opportunities.** Evaluate the setup against\\\\\\\\n the eight opportunity checks (\\\\\\\\u00a74.1 recording-frequency mismatch, \\\\\\\\u00a74.2 over-broad\\\\\\\\n resource recording, \\\\\\\\u00a74.3 duplicate global-resource recording, \\\\\\\\u00a74.4 high-churn CI\\\\\\\\n drivers, \\\\\\\\u00a74.5 redundant/duplicate rules, \\\\\\\\u00a74.6 conformance-pack overlap, \\\\\\\\u00a74.7 S3\\\\\\\\n lifecycle, \\\\\\\\u00a74.8 recorder with no consumer). Load\\\\\\\\n [references/opportunities.md](references/opportunities.md) for the full check\\\\\\\\n definitions, severity guidance, and the critical **conformance-pack overlap decision\\\\\\\\n tree** (overlapping PCI/NIST packs are usually intentional dual attestation \\\\\\\\u2014 do not\\\\\\\\n default to merging them; see \\\\\\\\u00a74.6). Assign each finding a severity (CRITICAL, HIGH,\\\\\\\\n MEDIUM, LOW, INFO) and, where a cost/volume signal exists, an estimated monthly\\\\\\\\n saving.\\\\\\\\n\\\\\\\\n- [ ] **Step 5: Validate findings.** Before writing the report, self-check the\\\\\\\\n findings: confirm each estimated saving traces to a cited signal (Cost Explorer,\\\\\\\\n Athena, or `GetDiscoveredResourceCounts`, with inventory-based numbers labeled\\\\\\\\n approximate); confirm no HIGH/CRITICAL finding that reduces recording, drops a rule,\\\\\\\\n or touches a conformance pack lacks a stated compliance tradeoff; confirm no\\\\\\\\n conformance-pack finding recommends merging or deleting a pack without the customer\\\\\\\\n having confirmed separate per-framework attestation is not required; and confirm no\\\\\\\\n mutation API was called. Drop or re-label any finding that fails these checks.\\\\\\\\n\\\\\\\\n- [ ] **Step 6: Generate report.** Produce a shareable Markdown report artifact\\\\\\\\n following the structure, section order, and table schemas in\\\\\\\\n [assets/report-template.md](assets/report-template.md). Load that template when\\\\\\\\n generating the report.\\\\\\\\n\\\\\\\\n## Severity Definitions\\\\\\\\n\\\\\\\\n| Severity | Definition | SLA |\\\\\\\\n|----------|------------|-----|\\\\\\\\n| CRITICAL | Runaway CI generation causing large ongoing overspend | Fix within 24\\\\\\\\u201348 hours |\\\\\\\\n| HIGH | Clear, sizable recurring saving (frequency, resource scope, global duplication) | Fix within 1 week |\\\\\\\\n| MEDIUM | Notable saving (redundant rules, conformance packs, unused recorder) | Plan within 30 days |\\\\\\\\n| LOW | Minor saving or hygiene (S3 lifecycle) | Address when convenient |\\\\\\\\n| INFO | Observation, no action required | N/A |\\\\\\\\n\\\\\\\\n## Safety and Boundaries\\\\\\\\n\\\\\\\\n- **Read-only.** The skill calls only `Describe*`, `Get*`, `List*` APIs. It never\\\\\\\\n calls `PutConfigurationRecorder`, `StopConfigurationRecorder`, `DeleteConfigRule`,\\\\\\\\n `PutConfigRule`, or any conformance-pack/delivery-channel mutation.\\\\\\\\n- **Compliance first.** Before recommending recording fewer resource types, switching\\\\\\\\n to daily, or removing a rule, state the compliance/security tradeoff. Real-time\\\\\\\\n detection of IAM and security-group changes is often worth the continuous cost.\\\\\\\\n Never recommend dropping recording below the organization\\\\'s audit requirements.\\\\\\\\n- **Never collapse compliance frameworks to save evaluation cost.** Two conformance\\\\\\\\n packs that overlap (e.g. PCI DSS and NIST 800-53) usually exist to produce two\\\\\\\\n independent per-framework attestations. Do not recommend merging them into a union\\\\\\\\n pack, or deleting one, unless the customer confirms separate per-framework reporting\\\\\\\\n is not required. The overlapping-rule evaluation cost is small; the lost per-framework\\\\\\\\n compliance view is not recoverable by re-running the report.\\\\\\\\n- **Proposed changes are suggestions.** Every recommendation is for a human to review\\\\\\\\n and apply.\\\\\\\\n\\\\\\\\n## Known Quirks\\\\\\\\n\\\\\\\\n- **Daily\\\\'s higher per-CI price is not a reason to avoid it** \\\\\\\\u2014 for high-churn\\\\\\\\n resources, daily\\\\'s once-per-day cap beats continuous billing every change. Reason\\\\\\\\n per-resource-type on change frequency, not on the sticker price.\\\\\\\\n- `GetDiscoveredResourceCounts` reflects the current resource inventory, not the CI\\\\\\\\n generation rate \\\\\\\\u2014 a small number of high-churn resources can dominate cost. Use\\\\\\\\n Athena over the Config S3 data for authoritative CI-driver attribution and label\\\\\\\\n inventory-based estimates as approximate.\\\\\\\\n- In Control Tower / Organizations environments, recorder settings may be centrally\\\\\\\\n managed and reset on account provisioning \\\\\\\\u2014 flag that recommendations may need to be\\\\\\\\n applied through the landing-zone customization path rather than per-account.\\\\\\\\n- Global resource types recorded in multiple Regions are the classic silent multiplier\\\\\\\\n \\\\\\\\u2014 always check `includeGlobalResourceTypes` across all recording Regions.\\\\\\\\n- **Overlapping conformance packs are usually intentional, not waste.** AWS Config\\\\\\\\n tracks compliance per pack, and the AWS-provided templates deliberately map the same\\\\\\\\n technical rule to different framework controls. A rule shared between a PCI pack and\\\\\\\\n a NIST pack is billed twice but also produces two independent framework scorecards \\\\\\\\u2014\\\\\\\\n that is how one resource check satisfies two attestations. Only treat the overlap as\\\\\\\\n a saving when the customer confirms they do not need to attest to both frameworks\\\\\\\\n separately; otherwise report it as an INFO observation with the cost ceiling, not a\\\\\\\\n consolidation recommendation.\\\\\\\\n\\\", \\\"resource_manifest\\\": [\\\"SKILL.md\\\", \\\"references/opportunities.md\\\", \\\"references/data-collection.md\\\", \\\"references/billing-model.md\\\", \\\"assets/report-template.md\\\"]}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:07.951000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "2a458092-304f-4eb1-9193-631a08b9612d", + "executionId": "ea0e1c92-365c-4f4e-945b-8a046964b4ad", + "recordId": "13048d40-dc64-432c-94cc-d2285c2c1122", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 4.4, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:06:08.056000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "2a458092-304f-4eb1-9193-631a08b9612d", + "executionId": "ea0e1c92-365c-4f4e-945b-8a046964b4ad", + "recordId": "48980e20-f5b9-48ab-8a60-5aed6db48c36", + "content": "{\"id\": \"48980e20-f5b9-48ab-8a60-5aed6db48c36\", \"role\": \"assistant\", \"content\": [{\"text\": \"Here are the five severity levels, from most to least urgent:\\n\\n1. **CRITICAL** \\u2014 Runaway CI generation causing large ongoing overspend. Fix within 24\\u201348 hours.\\n2. **HIGH** \\u2014 Clear, sizable recurring saving (frequency, resource scope, global duplication). Fix within 1 week.\\n3. **MEDIUM** \\u2014 Notable saving (redundant rules, conformance packs, unused recorder). Plan within 30 days.\\n4. **LOW** \\u2014 Minor saving or hygiene (e.g., S3 lifecycle). Address when convenient.\\n5. **INFO** \\u2014 Observation only, no action required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:08.142000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "2a458092-304f-4eb1-9193-631a08b9612d", + "executionId": "ea0e1c92-365c-4f4e-945b-8a046964b4ad", + "recordId": "19b09532-a180-4c10-a898-07358003a2c9", + "content": "{\"id\": \"277e4293-26ad-4b0a-b130-19eb8b7686f2\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"Here are the five severity levels, from most to least urgent:\\n\\n1. **CRITICAL** \\u2014 Runaway CI generation causing large ongoing overspend. Fix within 24\\u201348 hours.\\n2. **HIGH** \\u2014 Clear, sizable recurring saving (frequency, resource scope, global duplication). Fix within 1 week.\\n3. **MEDIUM** \\u2014 Notable saving (redundant rules, conformance packs, unused recorder). Plan within 30 days.\\n4. **LOW** \\u2014 Minor saving or hygiene (e.g., S3 lifecycle). Address when convenient.\\n5. **INFO** \\u2014 Observation only, no action required.\"}]}", + "createdAt": "2026-09-29T09:06:08.228000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-severity-definitions/without_skill/functional-tests-results.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-severity-definitions/without_skill/functional-tests-results.json new file mode 100644 index 00000000..a7e834fe --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-severity-definitions/without_skill/functional-tests-results.json @@ -0,0 +1,76 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "config-cost-severity-definitions", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "failed", + "reasoning": "The expected output requires the agent to list the five severity levels CRITICAL, HIGH, MEDIUM, LOW, INFO in that order. Instead, the agent claimed it could not find such a skill or severity scale and asked for clarification, failing to provide the expected list entirely.", + "evidence": "\"I can't confirm this \u2014 there's no \\\"AWS Config cost optimization skill\\\" in my available skills or in AWS documentation that defines a five-level severity scale for findings.\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "lists CRITICAL", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + }, + { + "text": "lists HIGH", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + }, + { + "text": "lists MEDIUM", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'MEDIUM'" + }, + { + "text": "lists LOW", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + }, + { + "text": "lists INFO", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + }, + { + "text": "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)", + "evaluator": "llm", + "passed": false, + "evidence": "The agent's response states: \"I can't confirm this \u2014 there's no 'AWS Config cost optimization skill' in my available skills... I don't want to invent one.\" No severity levels (CRITICAL, HIGH, MEDIUM, LOW, INFO or similar) are listed anywhere in the output.", + "reasoning": "The assertion requires the five severity levels to be listed in order from most to least urgent. The agent explicitly declined to provide such a list, stating it could not verify the existence of the skill or its severity scheme. Therefore the assertion is not satisfied.", + "confidence": "high" + } + ], + "summary": { + "passed": 1, + "failed": 5, + "errored": 0, + "low_confidence": 0, + "total": 6, + "pass_rate": 0.1667 + } + } + }, + "metrics": { + "runtime": "13s", + "cost": "$0.12", + "context_window": { + "utilization": "3.9%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-severity-definitions/without_skill/outputs/journal_records.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-severity-definitions/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..1fc38147 --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-severity-definitions/without_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "ca3423db-2e7a-461d-b354-f8cf8787497d", + "executionId": "2623ce2c-3cbe-4ff5-b3f1-e9ed16156161", + "recordId": "33476ea3-c661-4acd-8f46-43a6fe6ea961", + "content": "{\"id\": \"33476ea3-c661-4acd-8f46-43a6fe6ea961\", \"role\": \"user\", \"content\": [{\"text\": \"List the five severity levels the AWS Config cost optimization skill uses for its findings, in order from most to least urgent. No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:05:58.839000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "ca3423db-2e7a-461d-b354-f8cf8787497d", + "executionId": "2623ce2c-3cbe-4ff5-b3f1-e9ed16156161", + "recordId": "ef8b0cae-bc15-4a0a-ba4b-cd9c2a2995c5", + "content": "{\"id\": \"fa2d020b-26e6-4990-b34a-8b5ecf18e5f8\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"AWS Config cost optimization severity levels\"}]}", + "createdAt": "2026-09-29T09:05:59.779000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "ca3423db-2e7a-461d-b354-f8cf8787497d", + "executionId": "2623ce2c-3cbe-4ff5-b3f1-e9ed16156161", + "recordId": "71240ce7-3559-4472-a8af-361207f57bb6", + "content": "{\"id\": \"71240ce7-3559-4472-a8af-361207f57bb6\", \"role\": \"assistant\", \"content\": [{\"text\": \"I don't have a skill specifically called \\\"AWS Config cost optimization\\\" in my available skills list, so I can't pull an authoritative severity ordering from it.\\n\\nTo be accurate rather than guess, let me check AWS documentation for how AWS Config-related cost optimization guidance typically categorizes severity.\", \"type\": \"text\"}, {\"id\": \"tooluse_YPZjwqXmQZFILTxmdGE9Zk\", \"tool_name\": \"verify_aws_claim\", \"input\": {\"claim\": \"AWS Config cost optimization skill severity levels for findings\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:04.296000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "ca3423db-2e7a-461d-b354-f8cf8787497d", + "executionId": "2623ce2c-3cbe-4ff5-b3f1-e9ed16156161", + "recordId": "781b9451-0cf7-4811-abd6-b5da08454347", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:06:04.387000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "ca3423db-2e7a-461d-b354-f8cf8787497d", + "executionId": "2623ce2c-3cbe-4ff5-b3f1-e9ed16156161", + "recordId": "ee739bd5-c08e-4678-a750-9c0efbf2382d", + "content": "{\"id\": \"658da13d-0db3-4064-ba9f-5ba5a4db74e4\", \"role\": \"assistant\", \"block_type\": \"tool_summary\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_YPZjwqXmQZFILTxmdGE9Zk\", \"status\": \"success\", \"content\": [{\"text\": \"{\\\"content\\\":{\\\"result\\\":[{\\\"rank_order\\\":1,\\\"title\\\":\\\"How can I optimize AWS Config costs and effectively manage resource configurations?\\\",\\\"context\\\":\\\"Short description\\\\n-----------------\\\\n\\\\nAWS Config is a service used to assess, audit, and evaluate the configurations of your AWS resources. However, as your infrastructure grows and changes, AWS Config costs can increase unexpectedly.\\\\n\\\\nAWS Config service billing is primarily determined by three key components:\\\\n\\\\n* Number of configuration items recorded\\\\n* Number of active AWS Config rule evaluations\\\\n* Number of conformance pack evaluations in the account\\\\n\\\\nResolution\\\\n----------\\\\n\\\\nTo optimize your AWS Config costs and maintain effective resource configuration management, follow these strategies\\\",\\\"url\\\":\\\"https://repost.aws/knowledge-center/optimize-aws-config\\\"},{\\\"rank_order\\\":2,\\\"title\\\":\\\"Cost Optimization recommendations for AWS Config | AWS Cloud Operations Blog\\\",\\\"context\\\":\\\"## AWS Cloud Operations Blog\\\\n\\\\n# Cost Optimization recommendations for AWS Config\\\\n\\\\nIn this post, we\\u2019ll walk you through the various best practices and recommendations for optimizing AWS Config costs. This also provides technical guidance for looking at the rules and the recorder, how to start deleting or removing rules that aren\\u2019t needed, and then editing the Settings of Config, specifically the \\u201cResource types to record\\u201d, to those for which you need the most protection\\\\n\\\\nCost optimization is one of the pillars of AWS Well-Architected Framework (AWS WAF), and it\\u2019s a continual process of refinement and improvement over the span of a workload\\u2019s lifecycle. AWS enables you to take control of cost and continuously optimize the spend, while building modern, scalable applications to meet your needs. Customers have many options within AWS to help them reduce costs, as well as building applications that use resources more effectively. AWS is dedicated to helping customers achieve the highest saving potential by offering extensive service and pricing options provide the flexibility to effectively manage costs while still maintaining the required performance and capacity.\\\\n\\\\n**AWS Config pricing**\\\\n\\\\nWith AWS Config, you are charged based on the following:\\\\n\\\\n1) The number of configuration items recorded\\\\n\\\\nA configuration item is a record of the configuration state of a resource in your AWS account.\\\\n\\\\n2) The number of active AWS Config rule evaluations (every time a rule is evaluated).\\\\n\\\\n3) The number of conformance pack evaluations in your account.\\\\n\\\\nYou can find detailed AWS Config pricing examples here.\\\\n\\\\n**How to identify the resources with the most configuration changes in AWS Config**\\\\n\\\\nTo reduce the costs for AWS Config, we must identify which resources are contributing to the AWS Config spend.\\\\n\\\\n1) You can also use Amazon CloudWatch metrics to verify your setup and understand your usage of AWS Config.\\\\n\\\\na) Create a CloudWatch dashboard to show the top 10 AWS Config resource types that have a high volume of configuration items using the steps mention in this blog\\\\n\\\\nFigure 1: Amazon CloudWatch graph showing top 10 configuration items recorded\\\\n\\\\nb) Under the Resource type section, select the pull-down list and select the resource types you would like to exclude from being recorded by AWS Config. In this list, you can select multiple resource types to be excluded.\\\\n\\\\nBased on the CloudWatch dashboard, we will look into the solution to save costs for these top configuration items being captured.\\\\n\\\\n* Global Resources\\\\n* Recording Frequency\\\\n* Exclusion of Resources\\\\n\\\\n2) Here is the post which demonstrates the steps to create Amazon Athena queries to find out\\\\n\\\\n*[truncated \\u2014 additional content omitted]*\\\",\\\"url\\\":\\\"https://aws.amazon.com/blogs/mt/cost-optimization-recommendations-for-aws-config/\\\"},{\\\"rank_order\\\":3,\\\"title\\\":\\\"AWS service integrations with Security Hub CSPM\\\",\\\"context\\\":\\\"#### Interpreting severity label\\\\n\\\\nAll findings from AWS Config rule evaluations have a default severity label of\\\\n**MEDIUM** in the ASFF. You can update the severity\\\\nlabel of a finding with the `BatchUpdateFindings` API operation\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/securityhub/latest/userguide/securityhub-internal-providers.html\\\"}]}}\"}]}], \"label\": \"Look up AWS docs on Config cost optimization severity levels\"}", + "createdAt": "2026-09-29T09:06:10.886000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "ca3423db-2e7a-461d-b354-f8cf8787497d", + "executionId": "2623ce2c-3cbe-4ff5-b3f1-e9ed16156161", + "recordId": "50da598c-c1b8-4777-a90e-fbe2387888e3", + "content": "{\"id\": \"50da598c-c1b8-4777-a90e-fbe2387888e3\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_YPZjwqXmQZFILTxmdGE9Zk\", \"content\": \"[{'text': '{\\\"content\\\":{\\\"result\\\":[{\\\"rank_order\\\":1,\\\"title\\\":\\\"How can I optimize AWS Config costs and effectively manage resource configurations?\\\",\\\"context\\\":\\\"Short description\\\\\\\\n-----------------\\\\\\\\n\\\\\\\\nAWS Config is a service used to assess, audit, and evaluate the configurations of your AWS resources. However, as your infrastructure grows and changes, AWS Config costs can increase unexpectedly.\\\\\\\\n\\\\\\\\nAWS Config service billing is primarily determined by three key components:\\\\\\\\n\\\\\\\\n* Number of configuration items recorded\\\\\\\\n* Number of active AWS Config rule evaluations\\\\\\\\n* Number of conformance pack evaluations in the account\\\\\\\\n\\\\\\\\nResolution\\\\\\\\n----------\\\\\\\\n\\\\\\\\nTo optimize your AWS Config costs and maintain effective resource configuration management, follow these strategies\\\",\\\"url\\\":\\\"https://repost.aws/knowledge-center/optimize-aws-config\\\"},{\\\"rank_order\\\":2,\\\"title\\\":\\\"Cost Optimization recommendations for AWS Config | AWS Cloud Operations Blog\\\",\\\"context\\\":\\\"## AWS Cloud Operations Blog\\\\\\\\n\\\\\\\\n# Cost Optimization recommendations for AWS Config\\\\\\\\n\\\\\\\\nIn this post, we\\u2019ll walk you through the various best practices and recommendations for optimizing AWS Config costs. This also provides technical guidance for looking at the rules and the recorder, how to start deleting or removing rules that aren\\u2019t needed, and then editing the Settings of Config, specifically the \\u201cResource types to record\\u201d, to those for which you need the most protection\\\\\\\\n\\\\\\\\nCost optimization is one of the pillars of AWS Well-Architected Framework (AWS WAF), and it\\u2019s a continual process of refinement and improvement over the span of a workload\\u2019s lifecycle. AWS enables you to take control of cost and continuously optimize the spend, while building modern, scalable applications to meet your needs. Customers have many options within AWS to help them reduce costs, as well as building applications that use resources more effectively. AWS is dedicated to helping customers achieve the highest saving potential by offering extensive service and pricing options provide the flexibility to effectively manage costs while still maintaining the required performance and capacity.\\\\\\\\n\\\\\\\\n**AWS Config pricing**\\\\\\\\n\\\\\\\\nWith AWS Config, you are charged based on the following:\\\\\\\\n\\\\\\\\n1) The number of configuration items recorded\\\\\\\\n\\\\\\\\nA configuration item is a record of the configuration state of a resource in your AWS account.\\\\\\\\n\\\\\\\\n2) The number of active AWS Config rule evaluations (every time a rule is evaluated).\\\\\\\\n\\\\\\\\n3) The number of conformance pack evaluations in your account.\\\\\\\\n\\\\\\\\nYou can find detailed AWS Config pricing examples here.\\\\\\\\n\\\\\\\\n**How to identify the resources with the most configuration changes in AWS Config**\\\\\\\\n\\\\\\\\nTo reduce the costs for AWS Config, we must identify which resources are contributing to the AWS Config spend.\\\\\\\\n\\\\\\\\n1) You can also use Amazon CloudWatch metrics to verify your setup and understand your usage of AWS Config.\\\\\\\\n\\\\\\\\na) Create a CloudWatch dashboard to show the top 10 AWS Config resource types that have a high volume of configuration items using the steps mention in this blog\\\\\\\\n\\\\\\\\nFigure 1: Amazon CloudWatch graph showing top 10 configuration items recorded\\\\\\\\n\\\\\\\\nb) Under the Resource type section, select the pull-down list and select the resource types you would like to exclude from being recorded by AWS Config. In this list, you can select multiple resource types to be excluded.\\\\\\\\n\\\\\\\\nBased on the CloudWatch dashboard, we will look into the solution to save costs for these top configuration items being captured.\\\\\\\\n\\\\\\\\n* Global Resources\\\\\\\\n* Recording Frequency\\\\\\\\n* Exclusion of Resources\\\\\\\\n\\\\\\\\n2) Here is the post which demonstrates the steps to create Amazon Athena queries to find out\\\\\\\\n\\\\\\\\n*[truncated \\u2014 additional content omitted]*\\\",\\\"url\\\":\\\"https://aws.amazon.com/blogs/mt/cost-optimization-recommendations-for-aws-config/\\\"},{\\\"rank_order\\\":3,\\\"title\\\":\\\"AWS service integrations with Security Hub CSPM\\\",\\\"context\\\":\\\"#### Interpreting severity label\\\\\\\\n\\\\\\\\nAll findings from AWS Config rule evaluations have a default severity label of\\\\\\\\n**MEDIUM** in the ASFF. You can update the severity\\\\\\\\nlabel of a finding with the `BatchUpdateFindings` API operation\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/securityhub/latest/userguide/securityhub-internal-providers.html\\\"}]}}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:17.897000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "ca3423db-2e7a-461d-b354-f8cf8787497d", + "executionId": "2623ce2c-3cbe-4ff5-b3f1-e9ed16156161", + "recordId": "f5eb5df9-43f8-4eb0-8ec8-311e0db4c3fa", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.9, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:06:18.001000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "ca3423db-2e7a-461d-b354-f8cf8787497d", + "executionId": "2623ce2c-3cbe-4ff5-b3f1-e9ed16156161", + "recordId": "daf04cc2-bad4-4259-a5aa-c847532733c9", + "content": "{\"id\": \"daf04cc2-bad4-4259-a5aa-c847532733c9\", \"role\": \"assistant\", \"content\": [{\"text\": \"I can't confirm this \\u2014 there's no \\\"AWS Config cost optimization skill\\\" in my available skills or in AWS documentation that defines a five-level severity scale for findings. What I found instead:\\n\\n- AWS documentation on optimizing AWS Config costs (billing drivers: configuration items recorded, active rule evaluations, conformance pack evaluations, and reduction strategies)\\n- AWS Config findings surfaced in Security Hub default to a single severity label (**MEDIUM**) in the ASFF format, not a five-tier scale\\n\\nSince I don't have this skill in my catalog and couldn't verify a five-level severity scheme in AWS docs, I don't want to invent one. Could you clarify where you encountered this \\\"AWS Config cost optimization skill\\\" \\u2014 is it a custom skill in this agent space, or a specific AWS doc/tool you have in mind?\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:18.081000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "ca3423db-2e7a-461d-b354-f8cf8787497d", + "executionId": "2623ce2c-3cbe-4ff5-b3f1-e9ed16156161", + "recordId": "ff49d4fe-92d1-43d9-a963-dd96e096d429", + "content": "{\"id\": \"02e9037c-8a46-4d6e-ad97-d66597d6e177\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"I can't confirm this \\u2014 there's no \\\"AWS Config cost optimization skill\\\" in my available skills or in AWS documentation that defines a five-level severity scale for findings. What I found instead:\\n\\n- AWS documentation on optimizing AWS Config costs (billing drivers: configuration items recorded, active rule evaluations, conformance pack evaluations, and reduction strategies)\\n- AWS Config findings surfaced in Security Hub default to a single severity label (**MEDIUM**) in the ASFF format, not a five-tier scale\\n\\nSince I don't have this skill in my catalog and couldn't verify a five-level severity scheme in AWS docs, I don't want to invent one. Could you clarify where you encountered this \\\"AWS Config cost optimization skill\\\" \\u2014 is it a custom skill in this agent space, or a specific AWS doc/tool you have in mind?\"}]}", + "createdAt": "2026-09-29T09:06:18.157000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-standalone-vs-pack/with_skill/functional-tests-results.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-standalone-vs-pack/with_skill/functional-tests-results.json new file mode 100644 index 00000000..8dbf428f --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-standalone-vs-pack/with_skill/functional-tests-results.json @@ -0,0 +1,65 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "config-cost-standalone-vs-pack", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "failed", + "message": "Skill 'config-cost-optimization' was NOT triggered (no skills were loaded)", + "skill_loads_found": 0 + }, + "expected_output": { + "result": "passed", + "reasoning": "The agent correctly identifies that the two rules are not pure duplicates due to differing thresholds (14 vs 90 days), explaining they serve different purposes (early-warning vs broader compliance). It explicitly recommends against deleting the standalone rule (\"don't delete it purely as a 'duplicate'\") and suggests reconciling/consolidating thresholds instead, and flags checking dependencies before deciding. This aligns closely with the expected output's core points: not a pure duplicate due to differing thresholds, recommend flagging/reconciling rather than deleting outright, and only remove when source identifier and parameters truly match with no distinct purpose (implied by the advice to consolidate to a single threshold rather than delete blindly).", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response states the standalone rule is not simply a duplicate because its threshold differs from the pack's", + "evaluator": "llm", + "passed": true, + "evidence": "\"Not a true duplicate \u2014 those two rules would actually serve different purposes... These represent two different alerting tiers, not the same check twice.\"", + "reasoning": "The response explicitly states the two rules differ by threshold and are not redundant.", + "confidence": "high" + }, + { + "text": "The response recommends reconciling or reviewing the threshold conflict rather than deleting the standalone rule outright", + "evaluator": "llm", + "passed": true, + "evidence": "\"So: don't delete it purely as a 'duplicate.'\" and \"the better fix usually isn't blanket deletion \u2014 it's consolidating to a single rule with one threshold\"", + "reasoning": "The response advises against outright deletion and instead suggests consolidating to a single threshold or verifying evaluation frequency/downstream dependencies before deciding.", + "confidence": "high" + }, + { + "text": "The response ties the duplicate determination to matching parameters/thresholds, not just the rule name or source identifier", + "evaluator": "llm", + "passed": true, + "evidence": "\"The rule acm-certificate-expiration-check takes daysToExpiration as a parameter. A standalone deployment with 14 days is typically an early-warning/critical-alert threshold... The conformance pack's copy with 90 days is usually the broader compliance/governance threshold\"", + "reasoning": "The response bases its duplicate/non-duplicate determination specifically on the daysToExpiration parameter values (14 vs 90) rather than just the rule name or source identifier, even though both rules share the same identifier.", + "confidence": "high" + } + ], + "summary": { + "passed": 3, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.6%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-standalone-vs-pack/with_skill/outputs/journal_records.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-standalone-vs-pack/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..600a6e48 --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-standalone-vs-pack/with_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "d3240417-6019-4f8f-a2cc-a9bd7a6a3ce5", + "executionId": "529c0f6a-33d4-4cd8-9dd7-f75209867db9", + "recordId": "772d8f04-94f7-4eaa-8cfc-8a86f945a5aa", + "content": "{\"id\": \"772d8f04-94f7-4eaa-8cfc-8a86f945a5aa\", \"role\": \"user\", \"content\": [{\"text\": \"In AWS Config I have a standalone acm-certificate-expiration-check rule with a 14-day threshold, and my conformance pack also includes acm-certificate-expiration-check but with a 90-day threshold. Is the standalone rule just a duplicate I should delete to save on evaluations? No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:05:59.941000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "d3240417-6019-4f8f-a2cc-a9bd7a6a3ce5", + "executionId": "529c0f6a-33d4-4cd8-9dd7-f75209867db9", + "recordId": "f8f7bdb9-770f-419d-94b6-0955df0a0d03", + "content": "{\"id\": \"f6cc2e10-df97-4398-9bdc-ceba55a14ad3\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"AWS Config duplicate ACM certificate expiration rules\"}]}", + "createdAt": "2026-09-29T09:06:01.040000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "d3240417-6019-4f8f-a2cc-a9bd7a6a3ce5", + "executionId": "529c0f6a-33d4-4cd8-9dd7-f75209867db9", + "recordId": "b1024ef8-d3f7-4690-9ba3-85dda04df75b", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:06:12.810000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "d3240417-6019-4f8f-a2cc-a9bd7a6a3ce5", + "executionId": "529c0f6a-33d4-4cd8-9dd7-f75209867db9", + "recordId": "33c48f19-33cf-445a-b0a2-282bbf057745", + "content": "{\"id\": \"33c48f19-33cf-445a-b0a2-282bbf057745\", \"role\": \"assistant\", \"content\": [{\"text\": \"Not a true duplicate \\u2014 those two rules would actually serve different purposes, so deleting the standalone one isn't just a cleanup with no downside. Here's the distinction:\\n\\n**Why they're not redundant:**\\n- The rule `acm-certificate-expiration-check` takes `daysToExpiration` as a parameter. A standalone deployment with **14 days** is typically an early-warning/critical-alert threshold \\u2014 \\\"cert expires very soon, act now.\\\"\\n- The conformance pack's copy with **90 days** is usually the broader compliance/governance threshold \\u2014 \\\"start tracking renewal well in advance.\\\"\\n\\nThese represent two different alerting tiers, not the same check twice. If you delete the standalone 14-day rule, you lose the tighter, more urgent signal and only keep the 90-day warning \\u2014 which means you'd have far less lead-time visibility right before actual expiration.\\n\\n**On the cost/evaluation angle:**\\n- Both rule instances *do* independently evaluate every ACM certificate in scope and each generates its own configuration item evaluation \\u2014 so yes, you are paying for two evaluations of the same certificates on presumably the same trigger (configuration changes to ACM certs).\\n- If cost is the primary driver, the better fix usually isn't blanket deletion \\u2014 it's consolidating to a **single rule with one threshold** (or, if your Config setup supports it, keeping both but confirming they're not both on continuous/high-frequency recording for the same resource type).\\n\\n**What I'd check before deciding anything (no account access needed to reason about it, but worth confirming when you do have access):**\\n- Whether the standalone rule and the conformance pack rule are triggered on the same event source (config change vs. periodic) \\u2014 if one is periodic and one is config-change-triggered, the actual evaluation volume/cost difference may be small.\\n- Whether anything downstream (dashboards, SNS notifications, remediation actions) is wired specifically to the standalone rule's compliance name \\u2014 deleting it could silently break those integrations even if the conformance pack rule keeps \\\"the same\\\" logic.\\n\\nSo: don't delete it purely as a \\\"duplicate.\\\" If you want, I can walk through your actual Config setup to check evaluation frequency and downstream dependencies on the standalone rule before you decide whether to consolidate.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:12.902000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "d3240417-6019-4f8f-a2cc-a9bd7a6a3ce5", + "executionId": "529c0f6a-33d4-4cd8-9dd7-f75209867db9", + "recordId": "a037ca51-62e8-490a-a0d7-0dedf215212b", + "content": "{\"id\": \"fa4376f8-c639-4a1a-ae21-6bd997b0e934\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"Not a true duplicate \\u2014 those two rules would actually serve different purposes, so deleting the standalone one isn't just a cleanup with no downside. Here's the distinction:\\n\\n**Why they're not redundant:**\\n- The rule `acm-certificate-expiration-check` takes `daysToExpiration` as a parameter. A standalone deployment with **14 days** is typically an early-warning/critical-alert threshold \\u2014 \\\"cert expires very soon, act now.\\\"\\n- The conformance pack's copy with **90 days** is usually the broader compliance/governance threshold \\u2014 \\\"start tracking renewal well in advance.\\\"\\n\\nThese represent two different alerting tiers, not the same check twice. If you delete the standalone 14-day rule, you lose the tighter, more urgent signal and only keep the 90-day warning \\u2014 which means you'd have far less lead-time visibility right before actual expiration.\\n\\n**On the cost/evaluation angle:**\\n- Both rule instances *do* independently evaluate every ACM certificate in scope and each generates its own configuration item evaluation \\u2014 so yes, you are paying for two evaluations of the same certificates on presumably the same trigger (configuration changes to ACM certs).\\n- If cost is the primary driver, the better fix usually isn't blanket deletion \\u2014 it's consolidating to a **single rule with one threshold** (or, if your Config setup supports it, keeping both but confirming they're not both on continuous/high-frequency recording for the same resource type).\\n\\n**What I'd check before deciding anything (no account access needed to reason about it, but worth confirming when you do have access):**\\n- Whether the standalone rule and the conformance pack rule are triggered on the same event source (config change vs. periodic) \\u2014 if one is periodic and one is config-change-triggered, the actual evaluation volume/cost difference may be small.\\n- Whether anything downstream (dashboards, SNS notifications, remediation actions) is wired specifically to the standalone rule's compliance name \\u2014 deleting it could silently break those integrations even if the conformance pack rule keeps \\\"the same\\\" logic.\\n\\nSo: don't delete it purely as a \\\"duplicate.\\\" If you want, I can walk through your actual Config setup to check evaluation frequency and downstream dependencies on the standalone rule before you decide whether to consolidate.\"}]}", + "createdAt": "2026-09-29T09:06:12.995000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-standalone-vs-pack/without_skill/functional-tests-results.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-standalone-vs-pack/without_skill/functional-tests-results.json new file mode 100644 index 00000000..2635b33b --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-standalone-vs-pack/without_skill/functional-tests-results.json @@ -0,0 +1,62 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "config-cost-standalone-vs-pack", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "passed", + "reasoning": "The agent's response correctly explains that the standalone rule is NOT a pure duplicate because the 14-day threshold differs from the pack's 90-day threshold, serving a distinct purpose (stricter/urgent alerting vs. early warning). It explicitly advises not to delete the rule outright (\"no, they're not true duplicates... deleting the standalone one would lose signal\"), and frames the recommendation as needing to reconcile/verify before deciding (checking scope and downstream dependencies) rather than deleting. It also implicitly conveys the principle that removal should only happen when parameters/purpose truly overlap, since the core reasoning is that differing thresholds serve differing purposes. This aligns well with the expected output's core criteria: not a duplicate due to differing parameters, recommend reconciliation/caution rather than deletion, and only delete when source+parameters match and no distinct purpose exists. While the agent doesn't use the exact phrase 'flagging the threshold conflict for customer to reconcile,' it functionally does this by presenting the tradeoff and asking clarifying questions before recommending action.", + "evidence": "\"Short answer: no, they're not true duplicates \u2014 they're doing different jobs, and deleting the standalone one would lose signal, not just cost.\" and \"Before deciding, it's worth checking: 1. Whether both rules are actually scoped to the same certificates... 2. Whether anything downstream... depends specifically on the 14-day rule's compliance status.\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response states the standalone rule is not simply a duplicate because its threshold differs from the pack's", + "evaluator": "llm", + "passed": true, + "evidence": "The response states: 'no, they're not true duplicates \u2014 they're doing different jobs' and explains 'One rule identifier can be deployed standalone with daysToExpiration=14, and a separate instance can live inside your conformance pack with daysToExpiration=90.' This directly ties the non-duplicate determination to the differing thresholds.", + "reasoning": "The agent explicitly says they are not duplicates and attributes this to the different daysToExpiration parameter values (14 vs 90), satisfying the assertion.", + "confidence": "high" + }, + { + "text": "The response recommends reconciling or reviewing the threshold conflict rather than deleting the standalone rule outright", + "evaluator": "llm", + "passed": true, + "evidence": "The response says 'the tradeoff is losing the tighter threshold entirely' and ends with 'Before deciding, it's worth checking: 1. Whether both rules are actually scoped to the same certificates... 2. Whether anything downstream... depends specifically on the 14-day rule's compliance status.' It also offers 'Want me to check your account for how these two rule instances are actually scoped and whether anything's wired to the 14-day rule's status before you decide?'", + "reasoning": "While the agent does not use the word 'reconcile' explicitly, it recommends reviewing scoping and dependencies before deleting, and does not recommend deleting outright \u2014 it advises caution and further investigation, which aligns with reviewing rather than deleting outright. However, it doesn't explicitly suggest reconciling the threshold conflict (e.g., merging into one rule with a single threshold or tiered alerting via one mechanism) \u2014 it actually frames the two thresholds as intentionally complementary tiers rather than a 'conflict' to reconcile. This is a partial match: it does recommend against outright deletion and to review, but does not frame it as a 'conflict' needing reconciliation, rather as an intentional design. Given the assertion's core ask is 'review rather than delete outright,' this is satisfied, though the 'reconciling the threshold conflict' framing doesn't perfectly fit since the agent argues there's no conflict at all, just complementary tiers.", + "confidence": "medium" + }, + { + "text": "The response ties the duplicate determination to matching parameters/thresholds, not just the rule name or source identifier", + "evaluator": "llm", + "passed": true, + "evidence": "The response explicitly says 'AWS Config allows multiple instances of the same managed rule... each with its own name and parameters' and 'One rule identifier can be deployed standalone with daysToExpiration=14, and a separate instance can live inside your conformance pack with daysToExpiration=90.' It also suggests checking 'Whether both rules are actually scoped to the same certificates (same account/region/tags)' rather than just comparing rule names.", + "reasoning": "The agent's duplicate analysis is grounded in the differing daysToExpiration parameter values and scope, not merely the shared rule identifier/name, satisfying the assertion.", + "confidence": "high" + } + ], + "summary": { + "passed": 3, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.6%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-standalone-vs-pack/without_skill/outputs/journal_records.json b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-standalone-vs-pack/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..d7112c85 --- /dev/null +++ b/skills/config-cost-optimization/evals/functional/v1/iteration-1/config-cost-standalone-vs-pack/without_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "eb1cb0a8-57c5-401e-8258-50cf18e101cb", + "executionId": "80a57404-c3ee-4bc3-8602-668ec6862070", + "recordId": "cf0fb487-481c-4bf3-9f64-1ad5285bd669", + "content": "{\"id\": \"cf0fb487-481c-4bf3-9f64-1ad5285bd669\", \"role\": \"user\", \"content\": [{\"text\": \"In AWS Config I have a standalone acm-certificate-expiration-check rule with a 14-day threshold, and my conformance pack also includes acm-certificate-expiration-check but with a 90-day threshold. Is the standalone rule just a duplicate I should delete to save on evaluations? No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:08.486000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "eb1cb0a8-57c5-401e-8258-50cf18e101cb", + "executionId": "80a57404-c3ee-4bc3-8602-668ec6862070", + "recordId": "bef48741-ae27-4d87-9722-534a4ced48bd", + "content": "{\"id\": \"193eefec-9850-4a88-a631-ee07271483ae\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"AWS Config ACM Certificate Expiration Rule Duplicates\"}]}", + "createdAt": "2026-09-29T09:06:09.622000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "eb1cb0a8-57c5-401e-8258-50cf18e101cb", + "executionId": "80a57404-c3ee-4bc3-8602-668ec6862070", + "recordId": "2ee602b8-9016-4f7b-b250-178e83e2fe15", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:06:22.574000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "eb1cb0a8-57c5-401e-8258-50cf18e101cb", + "executionId": "80a57404-c3ee-4bc3-8602-668ec6862070", + "recordId": "bef344f7-9d61-4137-8d99-053237d7a70c", + "content": "{\"id\": \"bef344f7-9d61-4137-8d99-053237d7a70c\", \"role\": \"assistant\", \"content\": [{\"text\": \"Short answer: no, they're not true duplicates \\u2014 they're doing different jobs, and deleting the standalone one would lose signal, not just cost.\\n\\nHere's why they coexist rather than conflict:\\n\\n**AWS Config allows multiple instances of the same managed rule** (like `acm-certificate-expiration-check`), each with its own name and parameters. One rule identifier can be deployed standalone with `daysToExpiration=14`, and a separate instance can live inside your conformance pack with `daysToExpiration=90`. Config treats them as independent rules \\u2014 each runs its own evaluations against every ACM certificate in scope, and each reports compliance independently.\\n\\n**What this means practically:**\\n- The 90-day rule (in the conformance pack) is your early-warning tripwire \\u2014 \\\"this cert needs attention soon, plan the renewal.\\\"\\n- The 14-day rule (standalone) is your urgent/critical tripwire \\u2014 \\\"this is about to expire, act now.\\\"\\n- These are commonly layered intentionally so you get tiered alerting (e.g., ticket at 90 days, page on-call at 14 days) rather than a single flat threshold.\\n\\n**On the \\\"save on evaluations\\\" angle:** each rule evaluation is triggered per-resource on a schedule or config-change basis. Removing the 14-day rule would roughly halve the ACM-related evaluations, so there is a real (if usually small) cost/quota consideration \\u2014 but the tradeoff is losing the tighter threshold entirely, since the conformance pack's 90-day version won't re-flag urgency as the date gets closer.\\n\\n**Before deciding**, it's worth checking:\\n1. Whether both rules are actually scoped to the same certificates (same account/region/tags) \\u2014 if the standalone rule targets a different scope than the conformance pack, they're not redundant at all.\\n2. Whether anything downstream (an alarm, an EventBridge rule, a dashboard) depends specifically on the 14-day rule's compliance status.\\n\\nWant me to check your account for how these two rule instances are actually scoped and whether anything's wired to the 14-day rule's status before you decide?\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:06:22.689000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "eb1cb0a8-57c5-401e-8258-50cf18e101cb", + "executionId": "80a57404-c3ee-4bc3-8602-668ec6862070", + "recordId": "1407d375-7f18-4518-85c7-ff0d123aa44d", + "content": "{\"id\": \"c559b0d3-07a7-48f8-9441-02186ae2ead3\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"Short answer: no, they're not true duplicates \\u2014 they're doing different jobs, and deleting the standalone one would lose signal, not just cost.\\n\\nHere's why they coexist rather than conflict:\\n\\n**AWS Config allows multiple instances of the same managed rule** (like `acm-certificate-expiration-check`), each with its own name and parameters. One rule identifier can be deployed standalone with `daysToExpiration=14`, and a separate instance can live inside your conformance pack with `daysToExpiration=90`. Config treats them as independent rules \\u2014 each runs its own evaluations against every ACM certificate in scope, and each reports compliance independently.\\n\\n**What this means practically:**\\n- The 90-day rule (in the conformance pack) is your early-warning tripwire \\u2014 \\\"this cert needs attention soon, plan the renewal.\\\"\\n- The 14-day rule (standalone) is your urgent/critical tripwire \\u2014 \\\"this is about to expire, act now.\\\"\\n- These are commonly layered intentionally so you get tiered alerting (e.g., ticket at 90 days, page on-call at 14 days) rather than a single flat threshold.\\n\\n**On the \\\"save on evaluations\\\" angle:** each rule evaluation is triggered per-resource on a schedule or config-change basis. Removing the 14-day rule would roughly halve the ACM-related evaluations, so there is a real (if usually small) cost/quota consideration \\u2014 but the tradeoff is losing the tighter threshold entirely, since the conformance pack's 90-day version won't re-flag urgency as the date gets closer.\\n\\n**Before deciding**, it's worth checking:\\n1. Whether both rules are actually scoped to the same certificates (same account/region/tags) \\u2014 if the standalone rule targets a different scope than the conformance pack, they're not redundant at all.\\n2. Whether anything downstream (an alarm, an EventBridge rule, a dashboard) depends specifically on the 14-day rule's compliance status.\\n\\nWant me to check your account for how these two rule instances are actually scoped and whether anything's wired to the 14-day rule's status before you decide?\"}]}", + "createdAt": "2026-09-29T09:06:22.779000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/config-cost-optimization/evals/structure/structure-tests-results-v1.json b/skills/config-cost-optimization/evals/structure/structure-tests-results-v1.json new file mode 100644 index 00000000..433b5f18 --- /dev/null +++ b/skills/config-cost-optimization/evals/structure/structure-tests-results-v1.json @@ -0,0 +1,101 @@ +{ + "version": 1, + "timestamp": "2026-09-29T13:04:23Z", + "test_type": "structure", + "passing_score": 100, + "score": 100, + "result": "passed", + "summary": { + "total": 12, + "passed": 12, + "failed": 0, + "skipped": 0, + "warning": 0 + }, + "tests": [ + { + "id": "STRUCT-01", + "name": "SKILL.md file exists", + "result": "passed", + "message": "SKILL.md file exists", + "agent_skills_spec_reference": "https://agentskills.io/specification#directory-structure" + }, + { + "id": "STRUCT-02", + "name": "Valid YAML frontmatter", + "result": "passed", + "message": "Valid YAML frontmatter found", + "agent_skills_spec_reference": "https://agentskills.io/specification#skill-md-format" + }, + { + "id": "STRUCT-03", + "name": "Required name field present", + "result": "passed", + "message": "Required field 'name' is present", + "agent_skills_spec_reference": "https://agentskills.io/specification#frontmatter" + }, + { + "id": "STRUCT-04", + "name": "Required description field present", + "result": "passed", + "message": "Required field 'description' is present", + "agent_skills_spec_reference": "https://agentskills.io/specification#frontmatter" + }, + { + "id": "STRUCT-05", + "name": "name format (1-64 chars, lowercase alphanumeric + hyphens)", + "result": "passed", + "message": "name field format is valid: 'config-cost-optimization'", + "agent_skills_spec_reference": "https://agentskills.io/specification#name-field" + }, + { + "id": "STRUCT-06", + "name": "name matches parent directory name", + "result": "passed", + "message": "name 'config-cost-optimization' matches directory name 'config-cost-optimization'", + "agent_skills_spec_reference": "https://agentskills.io/specification#name-field" + }, + { + "id": "STRUCT-07", + "name": "description is 1-1024 characters", + "result": "passed", + "message": "description field length is valid (900 characters)", + "agent_skills_spec_reference": "https://agentskills.io/specification#description-field" + }, + { + "id": "STRUCT-08", + "name": "license (if present) is a non-empty string", + "result": "passed", + "message": "Field not present (optional)", + "agent_skills_spec_reference": "https://agentskills.io/specification#license-field" + }, + { + "id": "STRUCT-09", + "name": "compatibility (if present) is 1-500 characters", + "result": "passed", + "message": "Field not present (optional)", + "agent_skills_spec_reference": "https://agentskills.io/specification#compatibility-field" + }, + { + "id": "STRUCT-10", + "name": "metadata (if present) is string\u2192string map", + "result": "passed", + "message": "metadata field is valid", + "agent_skills_spec_reference": "https://agentskills.io/specification#metadata-field" + }, + { + "id": "STRUCT-11", + "name": "allowed-tools (if present) is a non-empty string", + "result": "passed", + "message": "Field not present (optional)", + "agent_skills_spec_reference": "https://agentskills.io/specification#allowed-tools-field" + }, + { + "id": "STRUCT-12", + "name": "Body is under 500 lines", + "result": "passed", + "message": "SKILL.md body is 142 lines (within 500 line limit)", + "agent_skills_spec_reference": "https://agentskills.io/specification#progressive-disclosure" + } + ] +} \ No newline at end of file diff --git a/skills/config-cost-optimization/references/billing-model.md b/skills/config-cost-optimization/references/billing-model.md new file mode 100644 index 00000000..4112e285 --- /dev/null +++ b/skills/config-cost-optimization/references/billing-model.md @@ -0,0 +1,35 @@ +# AWS Config Billing Model + +Reference for how AWS Config charges accrue. Load this when you need the exact +pricing components behind a finding, or when deciding whether continuous or daily +recording is cheaper for a given resource type. + +Sources: +- [AWS Config pricing](https://aws.amazon.com/config/pricing/) +- [Optimize AWS Config costs](https://repost.aws/knowledge-center/optimize-aws-config) + +## What is billed + +AWS Config billing has three primary components plus storage: + +| Charge | Billed on | +|--------|-----------| +| Configuration items (CIs) | Each CI recorded — the dominant cost driver | +| Config rule evaluations | Each active rule evaluation | +| Conformance pack evaluations | Each conformance pack rule evaluation | +| S3 storage | Configuration history and snapshots stored in the delivery bucket | + +## Recording frequency changes the CI price and cadence + +| Mode | Price per CI | Cadence | +|------|-------------|---------| +| Continuous | ~$0.003 | Bills a CI for **every** change | +| Daily | ~$0.012 | Bills at most **one** CI per resource per day | + +## Key consequence + +For **high-churn** resources (many changes per day), continuous recording bills every +single change and often costs **more** in total than daily recording, even though +daily's per-CI price is higher. For low-churn resources, continuous is usually +cheaper. The right choice is per-resource-type and depends on change frequency — never +a blanket setting. diff --git a/skills/config-cost-optimization/references/data-collection.md b/skills/config-cost-optimization/references/data-collection.md new file mode 100644 index 00000000..261403cf --- /dev/null +++ b/skills/config-cost-optimization/references/data-collection.md @@ -0,0 +1,46 @@ +# Config Inventory & Cost Signal Collection + +Reference for the read-only APIs used to inventory the AWS Config setup (Step 2) and +the cost/volume signals used to size opportunities (Step 3). Load this when you need +the precise API names, what each returns, and which signal to prefer. + +All calls are read-only (`Describe*`, `Get*`, `List*`). + +## Step 2 — Inventory the Config setup (per Region) + +``` +config.DescribeConfigurationRecorders # recorder config: allSupported, + # includeGlobalResourceTypes, recordingMode + # (per-resource-type frequency overrides), + # resourceTypes list, exclusion list +config.DescribeConfigurationRecorderStatus # is the recorder running? +config.DescribeDeliveryChannels # S3 bucket + SNS destination +config.DescribeConfigRules # active managed + custom rules +config.DescribeConformancePacks # conformance packs +config.DescribeConfigurationAggregators # org/multi-account aggregation +config.GetDiscoveredResourceCounts # resource-type inventory (CI-generating + # surface, by resource type) +``` + +**Capture:** recording mode (continuous vs daily, globally and per-resource-type +overrides), whether `allSupported` is on, whether `includeGlobalResourceTypes` is on +and in how many Regions, the recorded/excluded resource-type lists, the number of +active rules and conformance packs, and the delivery bucket. + +## Step 3 — Collect cost and volume signals + +- **Cost Explorer** (`ce.GetCostAndUsage`, filtered to the `AWSConfig` service, + grouped by `USAGE_TYPE`) to split spend across `ConfigurationItemRecorded`, rule + evaluations, and conformance-pack evaluations. This is the most direct dollar + signal — prefer it when the role has Cost Explorer access. +- **CI drivers**: identify which resource types generate the most CIs. The + authoritative method is an Athena query over the Config S3 data (see + [Identifying resources with the most configuration changes](https://aws.amazon.com/blogs/mt/identifying-resources-most-configuration-changes-aws-config/)); + when Athena is not available, use `GetDiscoveredResourceCounts` plus known + high-churn types (Auto Scaling groups, EC2 instances/ENIs/volumes during scaling, + spot fleets) as a directional signal, and label it as approximate. +- **S3 delivery bucket size** (`s3.ListObjectsV2` / CloudWatch `BucketSizeBytes`) for + the storage component. + +If Cost Explorer is unavailable, report configuration findings and label dollar +impact as "not quantified — enable Cost Explorer for sizing". diff --git a/skills/config-cost-optimization/references/opportunities.md b/skills/config-cost-optimization/references/opportunities.md new file mode 100644 index 00000000..c83f3a0b --- /dev/null +++ b/skills/config-cost-optimization/references/opportunities.md @@ -0,0 +1,111 @@ +# Config Cost Optimization Opportunity Catalog + +Detailed reference for the eight opportunity checks. Load this during Step 4 (Analyze) +when evaluating the recorder, rules, and conformance packs. Assign each finding a +severity (CRITICAL, HIGH, MEDIUM, LOW, INFO) and, where a cost/volume signal exists, +an estimated monthly saving. + +## 4.1 Recording frequency mismatch (highest-leverage tuning) +Ref: [Best practices for analyzing AWS Config recording frequencies](https://aws.amazon.com/blogs/mt/best-practices-for-analyzing-aws-config-recording-frequencies/) + +- **High-churn resource types recorded continuously** → switch those types to daily + recording via per-resource-type `recordingMode` overrides → **HIGH**. Continuous + bills every change; for resources that change many times per day, daily (one CI/day) + is materially cheaper. +- Conversely, do **not** blanket-recommend daily for everything — low-churn, + security-critical resources (IAM, security groups) are cheap continuously and + benefit from real-time change capture. Recommend daily selectively, per type. + +## 4.2 Over-broad resource-type recording +Ref: [Optimize AWS Config costs](https://repost.aws/knowledge-center/optimize-aws-config) + +- Recorder set to `allSupported=true` when only a subset of resource types is needed + for the account's compliance/security requirements → record only the required types + (or add high-noise types to the exclusion list) → **HIGH**. This directly reduces + the number of CIs generated. + +## 4.3 Duplicate global-resource recording +Ref: [Optimize AWS Config costs](https://repost.aws/knowledge-center/optimize-aws-config) + +- `includeGlobalResourceTypes=true` in **multiple** Regions → global resources (e.g. + IAM users, roles, policies) are recorded once per Region, multiplying CIs → enable + global-resource recording in **one** Region only → **HIGH** when many Regions + record globals. + +## 4.4 High-churn CI drivers +- Specific noisy resource types dominating CI volume (from Athena/CI-driver analysis) + → move those types to daily recording, add to the exclusion list, or stop recording + if not compliance-relevant → **MEDIUM/HIGH** depending on their share of spend. + +## 4.5 Redundant or unnecessary rules +Ref: [Optimize AWS Config costs](https://repost.aws/knowledge-center/optimize-aws-config) + +- Rules that are redundant, disabled-in-intent, or no longer mapped to a live + requirement → each evaluation is billed → remove or turn off → **MEDIUM**. +- A **standalone (user-managed) rule** that duplicates a rule already delivered inside + a conformance pack, with **no distinct purpose** (same source identifier, same + parameters, and the standalone copy is not wired to a separate remediation, + notification, or reporting path) → the standalone copy is pure duplicated evaluation + cost → remove the standalone rule and rely on the pack's copy → **MEDIUM**. Before + recommending removal, confirm the standalone rule's parameters match the pack's + (e.g. an `acm-certificate-expiration-check` with a *stricter* threshold than the + pack is **not** a duplicate — it enforces a different requirement; flag the conflict + for the customer to reconcile rather than deleting it). + +## 4.6 Conformance pack overlap and efficiency + +Two conformance packs sharing rules is **not automatically waste**, and consolidating +them is frequently the wrong call. Reason explicitly about *why* the packs exist +before recommending anything. + +**How pack overlap is billed and reported.** Each conformance pack evaluates its own +rules, so a rule that appears in two packs (e.g. `encrypted-volumes` in both a PCI +pack and a NIST 800-53 pack) is evaluated — and billed — once per pack. But that +second evaluation also produces a **second, independent per-framework compliance +result**: AWS Config tracks compliance per pack (the `AWS::Config::ConformancePackCompliance` +resource and each pack's own dashboard/compliance history), and the AWS-provided pack +templates deliberately map the *same* technical control to *different* framework +controls (one PCI DSS requirement, one NIST 800-53 control). The overlap is the +mechanism by which one resource check satisfies two frameworks' attestations +simultaneously. + +**Decision — do NOT default to "merge into one pack".** Apply this test: + +- **Keep both packs (overlap is acceptable, usually INFO, not a saving)** when the + customer must **attest to both frameworks independently** — i.e. an auditor, GRC + tool, or regulator consumes the PCI scorecard and the NIST scorecard separately. A + merged "union" pack collapses the two into one compliance view and destroys the + per-framework control-to-rule traceability that the attestation depends on. The + duplicate-evaluation cost (only the *overlapping* rules, at the conformance-pack + evaluation price) is the deliberate price of dual attestation. Report it as an + **INFO** observation with the tradeoff stated, and size the ceiling (overlapping + rule count × evaluations × pack-eval price) so the customer sees the cost is small + relative to losing separate reporting. Do **not** present merging as the + recommended action. +- **Recommend consolidation or trimming (MEDIUM)** only when separate per-framework + attestation is genuinely **not** required — for example: one framework is + aspirational/internal and not separately audited; one framework's control set is + fully subsumed by the other and the customer confirms they only report against the + superset; or a pack is deployed but no one consumes its compliance dashboard. In + that case, either drop the redundant pack or build a single tailored pack, and state + that per-framework reporting for the dropped framework is lost. +- **Always verify the consumer first.** Ask (or instruct the customer to confirm) who + reads each pack's compliance status and whether any GRC/audit tooling maps to the + pack ARNs. Never recommend collapsing packs before that dependency is confirmed — + the saving is single-digit dollars and the downside is an audit-reporting gap. + +A pack whose evaluations genuinely exceed its value (e.g. a pack no one attests +against, or where a handful of individual rules would cover the live requirement more +cheaply than the full template) → evaluate individual rules vs the pack → **MEDIUM**. + +## 4.7 S3 storage lifecycle +Ref: [S3 lifecycle management](https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lifecycle-mgmt.html) + +- The Config delivery bucket has **no lifecycle policy** transitioning old + configuration history/snapshots to cheaper tiers or expiring them past the retention + requirement → **LOW**. + +## 4.8 Recorder running with no consumer +- A recorder running in a Region with no rules, no aggregator, and no downstream + consumer of the configuration history → recording CIs nobody uses → confirm intent; + if unused, stop recording in that Region → **MEDIUM**. diff --git a/skills/guardduty-cost-optimization/.skilleval.yaml b/skills/guardduty-cost-optimization/.skilleval.yaml new file mode 100644 index 00000000..6af8d707 --- /dev/null +++ b/skills/guardduty-cost-optimization/.skilleval.yaml @@ -0,0 +1,8 @@ +audit: + ignore: + - STR-016 # README alongside SKILL.md is intentional + # Whitelist documentation/blog domains for cost optimization references (won't trigger SEC-002) + safe_domains: + - aws.amazon.com + - docs.aws.amazon.com + - repost.aws diff --git a/skills/guardduty-cost-optimization/CHANGELOG.md b/skills/guardduty-cost-optimization/CHANGELOG.md new file mode 100644 index 00000000..f00fe490 --- /dev/null +++ b/skills/guardduty-cost-optimization/CHANGELOG.md @@ -0,0 +1,35 @@ +# Changelog + +## [1.1.1] - 2026-09-29 +### Changed +- Sharpened the Runtime Monitoring ↔ VPC Flow Log offset check (§4.2 in + `references/opportunities.md`): the agent-gap case now spells out the "worst of both + worlds" mechanism — when the agent is not transmitting the offset does not apply, so + the account keeps paying VPC Flow Log processing charges *and* the Runtime Monitoring + plan while getting no runtime coverage; fix agent coverage rather than treating it as + a saving. +### Added +- Migrated `evals/evals.json` to the current schema and added a file-independent, + uplift-oriented functional eval suite (6 scenarios incl. runtime-offset, + log-config-quirk, runtime-agent-gap, security-tradeoff, and a negative-trigger case). + Best-practices, structure, and functional eval results all pass (best-practices + 100/100). + +## [1.1.0] - 2026-09-28 +### Changed +- Restructured the skill for progressive disclosure to fix failing best-practices evals (BP-03, BP-12, BP-16) and the BP-17 warning. The SKILL.md body is now a slim checkbox-checklist workflow; detailed material moved into linked files. +- Converted the Step 1–5 workflow to a `- [ ] Step N` checklist and added a dedicated **Step 5: Validate findings** self-check (savings sum and trace to signals, correct byte-to-GB/TB conversions, every plan reduction framed as a cost-vs-risk tradeoff, Runtime Monitoring ↔ VPC Flow Log offset accounted for, no mutations) before report generation. +### Added +- `references/billing-model.md` (per-plan metric/unit/pricing table and the two critical billing behaviors), `references/data-collection.md` (inventory APIs and usage-metric collection), and `references/opportunities.md` (the full Step 4.1–4.7 checks). +- `assets/report-template.md` holding the report structure and table schemas, linked from Step 6. + +## [1.0.0] - 2026-09-24 +### Added +- Initial release of the Amazon GuardDuty cost optimization skill for AWS DevOps Agent +- Read-only inventory of detectors, enabled protection plans, Runtime Monitoring coverage, and organization member coverage +- Per-protection-plan spend attribution from the `AWS/GuardDuty` and `AWS/GuardDuty/MalwareProtection` CloudWatch usage metrics, reconciled against Cost Explorer when available +- Cost optimization checks across seven areas: high-cost/low-signal protection plans, the Runtime Monitoring ↔ VPC Flow Log charge offset, S3 Protection cost-vs-value, Malware Protection for S3 scan volume, 30-day free-trial post-trial cost projection, duplicate/inconsistent multi-account and unused-Region coverage, and Security Hub consolidated-pricing awareness +- Cost-vs-security framing throughout, using `GetFindingsStatistics` as the value signal +- Severity-ranked findings (CRITICAL, HIGH, MEDIUM, LOW, INFO) and a shareable Markdown report artifact named `guardduty-cost-optimization--.md` +- Read-only guidance — no detector or protection-plan mutations +- Evaluation test cases (5 functional evals, 6 trigger queries) diff --git a/skills/guardduty-cost-optimization/README.md b/skills/guardduty-cost-optimization/README.md new file mode 100644 index 00000000..7321b371 --- /dev/null +++ b/skills/guardduty-cost-optimization/README.md @@ -0,0 +1,81 @@ +# GuardDuty Cost Optimization — AWS DevOps Agent Skill + +A read-only Amazon GuardDuty cost optimization skill for [AWS DevOps Agent](https://docs.aws.amazon.com/devopsagent/latest/userguide/about-aws-devops-agent.html). It identifies, quantifies, and prioritizes GuardDuty cost-reduction opportunities aligned with [Monitoring GuardDuty usage and estimating costs](https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html) and [GuardDuty pricing](https://aws.amazon.com/guardduty/pricing/), and generates a shareable report artifact. + +## Purpose + +GuardDuty is pay-as-you-go per protection plan, priced on the volume of data each plan analyzes — so spend is driven by which plans are enabled and how much they process, not by any per-detector fee. This skill teaches the agent the GuardDuty billing model (including the Runtime-Monitoring/VPC-Flow-Log offset and the fact that customer log configuration does *not* reduce GuardDuty cost), reads the per-data-source `AWS/GuardDuty` CloudWatch usage metrics to attribute spend by plan, weighs each plan's cost against its finding activity, and recommends compliance-aware reductions — always as a cost-vs-security tradeoff. + +## Key Capabilities + +- Inventories detectors, enabled protection plans, Runtime Monitoring coverage, and organization member coverage via read-only APIs +- Attributes spend per protection plan using the `AWS/GuardDuty` (and `AWS/GuardDuty/MalwareProtection`) CloudWatch usage metrics, reconciled against Cost Explorer when available +- Flags high-cost/low-signal plans by weighing per-plan cost against `GetFindingsStatistics` finding activity +- Sizes the Runtime Monitoring ↔ VPC Flow Log charge offset (enabling the runtime agent stops VPC Flow Log processing charges on monitored instances) +- Reviews S3 Protection and Malware Protection for S3 scan volume as cost-vs-risk tradeoffs +- Projects post-free-trial monthly cost from observed trial usage — before the bill lands +- Flags duplicate/inconsistent multi-account or unused-Region coverage +- Produces a severity-ranked report artifact with a per-plan spend table, free-trial projection, priority matrix, and next steps + +## Prerequisites + +### 1. An AWS DevOps Agent Space with the target AWS account configured as a cloud source + +### 2. IAM permissions for the DevOps Agent's primary cloud-source role + +Read-only GuardDuty, CloudWatch, Organizations, and (recommended) Cost Explorer access: + +- `guardduty:ListDetectors`, `guardduty:GetDetector`, `guardduty:ListMembers`, `guardduty:GetMemberDetectors` +- `guardduty:GetMasterAccount`, `guardduty:ListOrganizationAdminAccounts`, `guardduty:GetFindingsStatistics` +- `cloudwatch:GetMetricData`, `cloudwatch:GetMetricStatistics`, `cloudwatch:ListMetrics` +- `organizations:DescribeOrganization`, `organizations:ListAccounts` (organization scope) +- `ce:GetCostAndUsage` (recommended — the most direct dollar signal for sizing opportunities) + +Most read APIs are covered by the AWS managed `AIDevOpsAgentAccessPolicy`. `ce:GetCostAndUsage` may need to be added — see [`cloudformation/devops-agent-skill-policies.yaml`](../../cloudformation/devops-agent-skill-policies.yaml) (`EnableGuardDutyCostOptimization`). + +The skill operates entirely in **read-only** mode — it never calls `CreateDetector`, `UpdateDetector`, `DeleteDetector`, or any protection-plan mutation. + +## Limitations + +- GuardDuty usage metrics are published hourly and can lag up to ~24 hours; the skill uses a multi-day window for sizing. +- Without Cost Explorer access, findings are still reported but dollar impact is labeled "not quantified". +- The skill reads usage metrics and finding *statistics* only — it does not read finding detail content. +- GuardDuty is a security control: the skill frames every reduction as a cost-vs-risk tradeoff and never recommends disabling coverage on cost grounds alone. The security decision remains the user's. +- Customer-side log configuration (VPC Flow Logs, CloudTrail, S3 data events) does not affect GuardDuty cost, so the skill does not recommend changing it to save GuardDuty spend. + +## Agent Types + +- **On-demand (Chat tasks)** — "why is my GuardDuty bill so high", "which protection plan costs the most". +- **Evaluation** — proactive cost-optimization recommendations, including pre-trial-end projections. + +Select **Generic** (All agents) if you want the skill available to all agent types — required if you use it with the `unified-security-cost-optimizer` custom agent. + +## Uploading to AWS DevOps Agent + +> Reference: [Uploading a skill](https://docs.aws.amazon.com/devopsagent/latest/userguide/about-aws-devops-agent-devops-agent-skills.html#uploading-a-skill) + +Build the zip from **inside** the skill directory so `SKILL.md` sits at the archive root, excluding development-only files: + +```bash +cd skills/guardduty-cost-optimization +zip -r ../guardduty-cost-optimization.zip . \ + -x 'README.md' 'CHANGELOG.md' '.skilleval.yaml' '.skilleval.yml' 'evals/*' +``` + +Then in the Operator Web App: **Skills → Add skill → Upload skill**, drag in the zip, select agent types (**On-demand** and **Evaluation**, or **Generic** for the custom agent), review validation, and **Upload**. + +## How to Use This Skill + +In DevOps Agent Chat: + +- *"Review my GuardDuty costs for account 123456789012 across all regions."* +- *"Which GuardDuty protection plan is costing me the most?"* +- *"Is GuardDuty S3 Protection worth it for my workload?"* +- *"Project my GuardDuty spend after the free trial ends."* +- *"Would enabling Runtime Monitoring reduce my VPC Flow Log charges?"* + +The agent will inventory protection plans, attribute per-plan spend from usage metrics, weigh cost against finding activity, and generate `guardduty-cost-optimization--.md`. + +## Non-production disclaimer + +> ⚠️ This skill is sample code, not intended for production use without additional review and testing. Validate in a non-production environment first. Recommendations are derived from observed usage and finding statistics — GuardDuty is a security control, so review the security impact of any coverage reduction before applying, and never disable a protection plan you have not assessed for risk. diff --git a/skills/guardduty-cost-optimization/SKILL.md b/skills/guardduty-cost-optimization/SKILL.md new file mode 100644 index 00000000..d957bea2 --- /dev/null +++ b/skills/guardduty-cost-optimization/SKILL.md @@ -0,0 +1,154 @@ +--- +name: guardduty-cost-optimization +description: Identify and quantify Amazon GuardDuty cost optimization opportunities. + Use this skill when a user asks to reduce, review, audit, or optimize GuardDuty + spend, or reports an unexpected GuardDuty cost increase or an expensive protection + plan. Activate on requests like "why is my GuardDuty bill so high", "reduce + GuardDuty costs", "GuardDuty cost review", "which GuardDuty protection plan costs + the most", "is GuardDuty S3 Protection worth it", or "project my GuardDuty spend + after the free trial". This skill analyzes enabled protection plans and their + per-data-source usage from the AWS/GuardDuty CloudWatch usage metrics through + read-only APIs to surface high-cost/low-signal protection plans, VPC-Flow-Log + charges offset by Runtime Monitoring, expensive S3/data-event analysis, + free-trial cost projection, and duplicate multi-account coverage, producing a + severity-ranked report of savings. +metadata: + author: holmalla + version: "1.1.1" + aws-devops-agent-skills.agent-types: "Chat tasks, Evaluation" + aws-devops-agent-skills.aws-services: "Amazon GuardDuty" + aws-devops-agent-skills.technical-domains: "Security, Cost Optimization" +--- + +# Amazon GuardDuty Cost Optimization + +Identify, quantify, and prioritize Amazon GuardDuty cost optimization opportunities +aligned with [Monitoring GuardDuty usage and estimating costs](https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html) +and [GuardDuty pricing](https://aws.amazon.com/guardduty/pricing/). + +This skill uses **read-only GuardDuty, CloudWatch, and Organizations APIs only**. It +never enables, disables, or reconfigures a detector or protection plan — all +remediation is delivered as recommendations for a human to review and apply. It reads +usage metrics and findings statistics only; it does not read finding detail content. + +## When to Use + +Activate this skill when the user asks to: +- Reduce or optimize Amazon GuardDuty costs +- Investigate an unexpected GuardDuty cost increase +- Understand which protection plan or data source drives GuardDuty spend +- Decide whether a protection plan (S3 Protection, Runtime Monitoring, etc.) is worth its cost +- Project GuardDuty spend after the 30-day free trial +- Perform a GuardDuty cost review or FinOps assessment + +## How GuardDuty Billing Works + +The pricing model is the foundation of every finding below. The essentials: + +- GuardDuty is pay-as-you-go, **per protection plan**, priced on the volume of data + each plan analyzes. There is no per-detector fee — cost is driven entirely by + analyzed volume, and each plan meters on its own unit (counts, bytes, or vCPU/ACU + hours). +- **Runtime Monitoring offsets VPC Flow Log charges** — for instances the Runtime + Monitoring agent covers, GuardDuty stops charging for VPC Flow Log processing. The + two line items trade against each other; size the net effect. +- **Your own log configuration does not reduce GuardDuty cost** — GuardDuty ingests + from independent internal sources. The only cost lever is the GuardDuty + **protection-plan** configuration itself. + +For the full per-plan metric/unit/pricing table, the two critical billing behaviors, +and byte-to-GB/TB conversions, load +[references/billing-model.md](references/billing-model.md) when identifying which plan +drives a charge or reasoning about the Runtime Monitoring offset. + +## Workflow + +Work through these steps in order — each depends on the output of the one before it. + +- [ ] **Step 1: Identify target scope.** Ask the user which accounts and Regions to + review, and whether this is a standalone account, a GuardDuty + delegated-administrator account, or a member account. Accept specific account IDs + and Regions, "all regions", or "organization". If no scope is given, default to the + current account across all Regions with a 30-day analysis window. Delegated-admin + accounts additionally receive **aggregated** organization usage metrics — use them + for org-wide sizing. + +- [ ] **Step 2: Inventory detectors and protection plans.** Enumerate detectors, + enabled protection plans/features, Runtime Monitoring agent coverage, and (on a + delegated admin) member-account coverage, using read-only APIs. Also pull finding + statistics as the value signal. For the exact API calls and what each returns, load + [references/data-collection.md](references/data-collection.md). + +- [ ] **Step 3: Collect per-plan usage metrics.** Pull the `AWS/GuardDuty` usage + metrics via `cloudwatch.GetMetricData` broken down by the `DataSource` dimension + over the window (plus `AWS/GuardDuty/MalwareProtection` for S3 malware scans), and + prefer Cost Explorer as the dollar signal, reconciled against the usage metrics. The + exact metrics, dimensions, lag caveats, and unit conversions are in + [references/data-collection.md](references/data-collection.md). If neither Cost + Explorer nor usage metrics are available, still report configuration findings and + label dollar impact as "not quantified — enable Cost Explorer for sizing". + +- [ ] **Step 4: Analyze cost optimization opportunities.** Rank each enabled + protection plan by its share of total GuardDuty spend, then evaluate the seven + opportunity checks (§4.1 high-cost/low-signal plans, §4.2 Runtime Monitoring ↔ VPC + Flow Log offset, §4.3 S3 Protection cost vs value, §4.4 Malware Protection for S3 + scan volume, §4.5 free-trial cost projection, §4.6 duplicate/inconsistent + multi-account coverage, §4.7 Security Hub consolidated pricing). Load + [references/opportunities.md](references/opportunities.md) for the full check + definitions and severity guidance. **Frame every recommendation against security + value** — never recommend disabling a plan purely on cost. Assign each finding a + severity (CRITICAL, HIGH, MEDIUM, LOW, INFO) and, where a usage/cost signal exists, + an estimated monthly saving. + +- [ ] **Step 5: Validate findings.** Before writing the report, self-check the + findings: confirm estimated savings sum correctly and each traces to a cited metric + or cost signal; confirm byte-to-GB/TB conversions are correct; confirm every plan + reduction is framed as a cost-vs-risk tradeoff citing that plan's finding activity + (never a cost-only "disable"); confirm no VPC Flow Log saving ignores the Runtime + Monitoring offset; and confirm no mutation API was called. Drop or re-label any + finding that fails these checks. + +- [ ] **Step 6: Generate report.** Produce a shareable Markdown report artifact + following the structure, section order, and table schemas in + [assets/report-template.md](assets/report-template.md). Load that template when + generating the report. + +## Severity Definitions + +| Severity | Definition | SLA | +|----------|------------|-----| +| CRITICAL | Runaway cost causing large ongoing overspend | Fix within 24–48 hours | +| HIGH | Clear, sizable recurring saving, or a time-boxed free-trial decision | Fix within 1 week | +| MEDIUM | Notable saving with a value tradeoff to weigh | Plan within 30 days | +| LOW | Minor saving or hygiene | Address when convenient | +| INFO | Observation, no action required | N/A | + +## Safety and Boundaries + +- **Read-only.** The skill calls only `List*`, `Get*`, `Describe*` APIs and CloudWatch + reads. It never calls `CreateDetector`, `UpdateDetector`, `DeleteDetector`, + `DisableOrganizationAdminAccount`, or any protection-plan mutation. +- **Security value first.** GuardDuty is a security control. Never recommend disabling + a protection plan purely on cost — always frame it as a cost-vs-risk tradeoff, cite + the finding activity for that plan, and defer the decision to the user's security + posture. Removing coverage can create undetected exposure. +- **Proposed changes are suggestions.** Every recommendation is for a human to review + and apply. + +## Known Quirks + +- **Your own log configuration does not change GuardDuty cost** — do not recommend + turning off customer VPC Flow Logs, CloudTrail, or S3 data events to reduce + GuardDuty spend; GuardDuty reads independent internal sources. The lever is the + GuardDuty protection-plan config. +- **Runtime Monitoring and VPC Flow Log charges trade against each other** — size the + net effect, not either line item alone. If the agent stops transmitting, VPC Flow + Log charges silently resume. +- Usage metrics lag up to ~24 hours and are hourly — use a multi-day window, not a + single hour, for sizing. +- Byte-unit metrics must be converted to GB/TB to match pricing tiers. +- The 30-day free trial is **per account, per plan**, and its status is independent of + Security Hub integration — enabling Security Hub does not grant, extend, or restart a + trial. +- Malware Protection for S3 lives in a **separate** CloudWatch namespace + (`AWS/GuardDuty/MalwareProtection`) from the other plans (`AWS/GuardDuty`). diff --git a/skills/guardduty-cost-optimization/assets/report-template.md b/skills/guardduty-cost-optimization/assets/report-template.md new file mode 100644 index 00000000..930cfd12 --- /dev/null +++ b/skills/guardduty-cost-optimization/assets/report-template.md @@ -0,0 +1,49 @@ +# Amazon GuardDuty Cost Optimization Report Template + +Output template for the report artifact. Load this when generating the final report so +the structure, section order, and table schemas are consistent. + +Artifact naming: `guardduty-cost-optimization--.md` +Example: `guardduty-cost-optimization-123456789012-2026-09-24.md` + +--- + +### Report Header +``` +# Amazon GuardDuty Cost Optimization — +Date: | Scope: | Analysis window: to +``` + +### Executive Summary +- Estimated total monthly savings (sum of quantified opportunities) or "not quantified" +- Finding counts by severity +- Top 3 opportunities by estimated saving +- Any plan still in the 30-day free trial with projected post-trial cost + +### Protection Plan Usage & Spend +| Protection Plan | Data Source | Usage (window) | Est. Monthly Cost | Findings (window) | Share | +|-----------------|-------------|----------------|-------------------|-------------------|-------| + +### Cost Optimization Opportunities +| # | Opportunity | Severity | Current State | Recommendation (value tradeoff) | Est. Monthly Saving | +|---|-------------|----------|---------------|----------------------------------|---------------------| + +### Free-Trial Projection (if any plan in trial) +| Protection Plan | Trial usage rate | Projected monthly cost | Trial ends | +|-----------------|------------------|------------------------|------------| + +### Priority Matrix +| # | Opportunity | Severity | Effort | Est. Saving | +|---|-------------|----------|--------|-------------| + +### Next Steps +- Immediate (HIGH — within 7 days, e.g. free-trial decisions) +- Short-term (MEDIUM — within 30 days) +- Long-term (LOW/INFO) + +### Appendix — Reference Links +- [Monitoring GuardDuty usage and estimating costs](https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html) +- [GuardDuty pricing](https://aws.amazon.com/guardduty/pricing/) +- [Pricing in GuardDuty](https://docs.aws.amazon.com/guardduty/latest/ug/guardduty-pricing.html) +- [GuardDuty S3 Protection](https://docs.aws.amazon.com/guardduty/latest/ug/s3-protection.html) +- [Runtime Monitoring](https://docs.aws.amazon.com/guardduty/latest/ug/runtime-monitoring.html) diff --git a/skills/guardduty-cost-optimization/evals/best-practices/v1/benchmark.json b/skills/guardduty-cost-optimization/evals/best-practices/v1/benchmark.json new file mode 100644 index 00000000..0c892495 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/best-practices/v1/benchmark.json @@ -0,0 +1,325 @@ +{ + "timestamp": "2026-09-29T13:14:49Z", + "version": "v1", + "model": "us.anthropic.claude-sonnet-5", + "iterations": 3, + "avg_confidence": "high", + "consistency": { + "consistency_score": 100, + "reports": [ + { + "iteration": 1, + "result": "passed", + "score": 100, + "total": 17, + "passed": 17, + "failed": 0, + "skipped": 0, + "warning": 0, + "errored": 0, + "low_confidence": 0, + "avg_confidence": "high" + }, + { + "iteration": 2, + "result": "passed", + "score": 100, + "total": 17, + "passed": 17, + "failed": 0, + "skipped": 0, + "warning": 0, + "errored": 0, + "low_confidence": 0, + "avg_confidence": "high" + }, + { + "iteration": 3, + "result": "passed", + "score": 100, + "total": 17, + "passed": 17, + "failed": 0, + "skipped": 0, + "warning": 0, + "errored": 0, + "low_confidence": 0, + "avg_confidence": "high" + } + ], + "per_test": [ + { + "id": "BP-01", + "name": "Effective description", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "medium", + "medium", + "high" + ], + "avg_confidence": "medium", + "consistent": true + }, + { + "id": "BP-02", + "name": "Verbosity and conciseness", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "medium", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-03", + "name": "Detailed reference materials must not be in body", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "medium", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-04", + "name": "Reference files must be linked", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-05", + "name": "Reference links must specify when to load", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-06", + "name": "Reference path format", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-07", + "name": "Prescription vs description", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "medium", + "medium", + "medium" + ], + "avg_confidence": "medium", + "consistent": true + }, + { + "id": "BP-08", + "name": "Defaults, not menus", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "medium", + "medium", + "medium" + ], + "avg_confidence": "medium", + "consistent": true + }, + { + "id": "BP-09", + "name": "Favor procedures over declarations", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-10", + "name": "Gotchas section", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-11", + "name": "Templates and outputs missing", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-12", + "name": "Templates and outputs must not be in body", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-13", + "name": "Asset files must be linked", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-14", + "name": "Asset links must specify when to load", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-15", + "name": "Asset path format", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-16", + "name": "Step-by-step guidance", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + }, + { + "id": "BP-17", + "name": "Validation loops", + "results": [ + "passed", + "passed", + "passed" + ], + "confidences": [ + "high", + "high", + "high" + ], + "avg_confidence": "high", + "consistent": true + } + ] + } +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/best-practices/v1/iteration-1/best-practices-tests-results.json b/skills/guardduty-cost-optimization/evals/best-practices/v1/iteration-1/best-practices-tests-results.json new file mode 100644 index 00000000..f2db46c3 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/best-practices/v1/iteration-1/best-practices-tests-results.json @@ -0,0 +1,170 @@ +{ + "version": "v1", + "iteration": 1, + "timestamp": "2026-09-29T13:14:46Z", + "test_type": "best-practices", + "passing_score": 100, + "score": 100, + "result": "passed", + "summary": { + "total": 17, + "passed": 17, + "failed": 0, + "skipped": 0, + "warning": 0, + "errored": 0, + "low_confidence": 0, + "avg_confidence": "high" + }, + "tests": [ + { + "id": "BP-01", + "name": "Effective description", + "result": "passed", + "confidence": "medium", + "reasoning": "The description uses imperative phrasing ('Use this skill when...'), focuses on user intent with concrete trigger phrases users might say, and covers scope explicitly including implicit contexts (unexpected cost increases, expensive protection plans). It is a single dense paragraph, which is on the longer side but still concise enough to convey scope without excessive verbosity.", + "evidence": "Use this skill when a user asks to reduce, review, audit, or optimize GuardDuty spend, or reports an unexpected GuardDuty cost increase or an expensive protection plan. Activate on requests like \"why is my GuardDuty bill so high\", \"reduce GuardDuty costs\"...", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/optimizing-descriptions" + }, + { + "id": "BP-02", + "name": "Verbosity and conciseness", + "result": "passed", + "confidence": "high", + "reasoning": "The body is concise and focuses on GuardDuty-specific billing mechanics, non-obvious behaviors (Runtime Monitoring offsetting VPC Flow Logs), and procedural steps rather than explaining general AWS/cost concepts the agent already knows.", + "evidence": "Runtime Monitoring offsets VPC Flow Log charges \u2014 for instances the Runtime Monitoring agent covers, GuardDuty stops charging for VPC Flow Log processing.", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#add-what-the-agent-lacks-omit-what-it-knows" + }, + { + "id": "BP-03", + "name": "Detailed reference materials must not be in body", + "result": "passed", + "confidence": "high", + "reasoning": "Detailed reference data (per-plan metric tables, API call specifics, opportunity check definitions) is explicitly offloaded to references/ files rather than embedded in the body, even within conditional workflow steps.", + "evidence": "For the full per-plan metric/unit/pricing table, the two critical billing behaviors, and byte-to-GB/TB conversions, load [references/billing-model.md](references/billing-model.md)", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#structure-large-skills-with-progressive-disclosure" + }, + { + "id": "BP-04", + "name": "Reference files must be linked", + "result": "passed", + "confidence": "high", + "reasoning": "All three reference files are linked via markdown links in the body.", + "evidence": "[references/billing-model.md](references/billing-model.md) ... [references/data-collection.md](references/data-collection.md) ... [references/opportunities.md](references/opportunities.md)" + }, + { + "id": "BP-05", + "name": "Reference links must specify when to load", + "result": "passed", + "confidence": "high", + "reasoning": "Each reference link is accompanied by a specific trigger condition for when to load it.", + "evidence": "load [references/data-collection.md](references/data-collection.md) when identifying which plan drives a charge or reasoning about the Runtime Monitoring offset.", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#structure-large-skills-with-progressive-disclosure" + }, + { + "id": "BP-06", + "name": "Reference path format", + "result": "passed", + "confidence": "high", + "reasoning": "All reference links use relative paths from the skill root with no traversal or absolute paths.", + "evidence": "[references/opportunities.md](references/opportunities.md)", + "agent_skills_spec_reference": "https://agentskills.io/specification#file-references" + }, + { + "id": "BP-07", + "name": "Prescription vs description", + "result": "passed", + "confidence": "medium", + "reasoning": "Fragile operations (read-only API boundaries, validation checks, severity SLAs) are prescriptive and exact, while analysis/reasoning steps (e.g., how to weigh cost vs security value) give the agent explanatory freedom.", + "evidence": "Frame every recommendation against security value \u2014 never recommend disabling a plan purely on cost.", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#match-specificity-to-fragility" + }, + { + "id": "BP-08", + "name": "Defaults, not menus", + "result": "passed", + "confidence": "medium", + "reasoning": "The skill doesn't present competing tool options as equal menus; it specifies a clear preferred signal (Cost Explorer) with a fallback.", + "evidence": "prefer Cost Explorer as the dollar signal, reconciled against the usage metrics. ... If neither Cost Explorer nor usage metrics are available, still report configuration findings", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#provide-defaults-not-menus" + }, + { + "id": "BP-09", + "name": "Favor procedures over declarations", + "result": "passed", + "confidence": "high", + "reasoning": "The workflow teaches a generalizable procedure (scope identification, inventory, metric collection, opportunity analysis, validation, reporting) applicable to any GuardDuty cost review, not a one-off instance.", + "evidence": "Step 1: Identify target scope. Ask the user which accounts and Regions to review...", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#favor-procedures-over-declarations" + }, + { + "id": "BP-10", + "name": "Gotchas section", + "result": "passed", + "confidence": "high", + "reasoning": "A dedicated Known Quirks section documents concrete, non-obvious environment-specific facts the agent would otherwise get wrong.", + "evidence": "Your own log configuration does not change GuardDuty cost \u2014 do not recommend turning off customer VPC Flow Logs, CloudTrail, or S3 data events to reduce GuardDuty spend", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#gotchas-sections" + }, + { + "id": "BP-11", + "name": "Templates and outputs missing", + "result": "passed", + "confidence": "high", + "reasoning": "The skill produces a report and provides an explicit template asset for it.", + "evidence": "Load that template when generating the report. ... assets/report-template.md", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#templates-for-output-format" + }, + { + "id": "BP-12", + "name": "Templates and outputs must not be in body", + "result": "passed", + "confidence": "high", + "reasoning": "No large inline template exists in the body; the report structure is instead delegated to assets/report-template.md.", + "evidence": "Produce a shareable Markdown report artifact following the structure, section order, and table schemas in [assets/report-template.md](assets/report-template.md).", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#templates-for-output-format" + }, + { + "id": "BP-13", + "name": "Asset files must be linked", + "result": "passed", + "confidence": "high", + "reasoning": "The single asset file is referenced in the body.", + "evidence": "[assets/report-template.md](assets/report-template.md). Load that template when generating the report." + }, + { + "id": "BP-14", + "name": "Asset links must specify when to load", + "result": "passed", + "confidence": "high", + "reasoning": "The asset reference specifies exactly when to load it (during report generation).", + "evidence": "Load that template when generating the report." + }, + { + "id": "BP-15", + "name": "Asset path format", + "result": "passed", + "confidence": "high", + "reasoning": "The asset link uses a relative path from the skill root.", + "evidence": "[assets/report-template.md](assets/report-template.md)" + }, + { + "id": "BP-16", + "name": "Step-by-step guidance", + "result": "passed", + "confidence": "high", + "reasoning": "The procedural workflow is presented as an ordered checkbox checklist with 'Step N' labeling as required.", + "evidence": "- [ ] **Step 1: Identify target scope.** ... - [ ] **Step 6: Generate report.**", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#checklists-for-multi-step-workflows" + }, + { + "id": "BP-17", + "name": "Validation loops", + "result": "passed", + "confidence": "high", + "reasoning": "Step 5 explicitly instructs the agent to self-check its findings for correctness before producing the final report.", + "evidence": "Step 5: Validate findings. Before writing the report, self-check the findings: confirm estimated savings sum correctly and each traces to a cited metric or cost signal...", + "agent_skills_spec_reference": "https://agentskills.io/skill-creation/best-practices#validation-loops" + } + ] +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/eval_queries.json b/skills/guardduty-cost-optimization/evals/eval_queries.json new file mode 100644 index 00000000..ec787437 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/eval_queries.json @@ -0,0 +1,8 @@ +[ + {"query": "Which skill would help me reduce my Amazon GuardDuty costs? Just name it; do not run it.", "should_trigger": true}, + {"query": "Is there a skill for reviewing which GuardDuty protection plan costs the most? Answer yes or no with the skill name; do not execute it.", "should_trigger": true}, + {"query": "Name the skill that projects my GuardDuty spend after the free trial and finds cost savings. Do not run any review.", "should_trigger": true}, + {"query": "Write a Python script that sorts a list of numbers", "should_trigger": false}, + {"query": "What's the weather forecast for Austin this weekend?", "should_trigger": false}, + {"query": "Create a CloudFormation template for an S3 bucket", "should_trigger": false} +] diff --git a/skills/guardduty-cost-optimization/evals/evals.json b/skills/guardduty-cost-optimization/evals/evals.json new file mode 100644 index 00000000..2ac81932 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/evals.json @@ -0,0 +1,77 @@ +{ + "skill_name": "guardduty-cost-optimization", + "evals": [ + { + "id": "guardduty-cost-severity-definitions", + "task_type": "chat", + "prompt": "List the five severity levels the Amazon GuardDuty cost optimization skill uses for its findings, in order from most to least urgent. No account access required.", + "expected_output": "Lists CRITICAL, HIGH, MEDIUM, LOW, INFO in that order.", + "should_trigger": true, + "assertions": [ + {"text": "lists CRITICAL", "evaluator": "regex", "pattern": "CRITICAL"}, + {"text": "lists HIGH", "evaluator": "regex", "pattern": "HIGH"}, + {"text": "lists MEDIUM", "evaluator": "regex", "pattern": "MEDIUM"}, + {"text": "lists LOW", "evaluator": "regex", "pattern": "LOW"}, + {"text": "lists INFO", "evaluator": "regex", "pattern": "INFO"}, + "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)" + ] + }, + { + "id": "guardduty-cost-runtime-offset", + "task_type": "chat", + "prompt": "According to the GuardDuty cost optimization skill, how does enabling GuardDuty Runtime Monitoring affect VPC Flow Log processing charges for the instances it monitors? No account access required.", + "expected_output": "Explains that for instances actively monitored by the Runtime Monitoring agent, GuardDuty does not charge for VPC Flow Logs processing, so enabling Runtime Monitoring decreases VPC Flow Log usage/charges (and disabling it, or the agent not transmitting, restores them). The two line items trade against each other, so the net effect must be sized.", + "should_trigger": true, + "assertions": [ + "The response refers to GuardDuty Runtime Monitoring and VPC Flow Log processing charges", + "The response states that for monitored instances GuardDuty does not charge for VPC Flow Log processing (Runtime Monitoring offsets/decreases that charge)", + "The response conveys that the two charges trade against each other so the net effect must be evaluated" + ] + }, + { + "id": "guardduty-cost-log-config-quirk", + "task_type": "chat", + "prompt": "Will disabling my own VPC Flow Logs or turning off my S3 data event logging reduce my Amazon GuardDuty bill? According to the GuardDuty cost optimization skill, what is the correct answer and why? No account access required.", + "expected_output": "States that changing customer-side log configuration does NOT reduce GuardDuty cost because GuardDuty ingests from independent internal sources; the only cost lever is the GuardDuty protection-plan configuration itself.", + "should_trigger": true, + "assertions": [ + "The response states that disabling the customer's own VPC Flow Logs or S3 data event logging does not reduce the GuardDuty bill", + "The response explains GuardDuty reads from independent internal sources and the cost lever is the GuardDuty protection-plan configuration" + ] + }, + { + "id": "guardduty-cost-security-tradeoff", + "task_type": "chat", + "prompt": "According to the GuardDuty cost optimization skill, should it ever recommend disabling a GuardDuty protection plan purely to save money? Explain the framing the skill requires. No account access required.", + "expected_output": "States that the skill must never recommend disabling a protection plan on cost grounds alone; GuardDuty is a security control, so every reduction is framed as a cost-vs-risk (cost-vs-security) tradeoff citing finding activity, with the security decision deferred to the user.", + "should_trigger": true, + "assertions": [ + "The response states the skill should never recommend disabling a protection plan purely on cost", + "The response frames any reduction as a cost-vs-risk / cost-vs-security tradeoff", + "The response defers the security decision to the user (and/or ties it to the plan's finding activity)" + ] + }, + { + "id": "guardduty-cost-runtime-agent-gap", + "task_type": "chat", + "prompt": "In my account, GuardDuty Runtime Monitoring is ENABLED but the Runtime Monitoring agent is not actually transmitting on most of my EC2 instances. What is the cost-and-coverage problem here, and what is the recommended fix? No account access required.", + "expected_output": "Explains that this is the worst of both worlds - the account is still paying for VPC Flow Log processing (because the agent isn't covering those instances, so the offset does not apply) while getting no runtime detection coverage. Recommends fixing the agent coverage so it transmits (or, if runtime coverage is genuinely not wanted, honestly disabling the plan) rather than treating it as a simple cost saving.", + "should_trigger": true, + "assertions": [ + "The response identifies that VPC Flow Log charges are still being paid because the agent is not covering those instances (the offset does not apply)", + "The response identifies that no runtime detection coverage is actually being collected despite the plan being enabled", + "The response recommends fixing the agent coverage (not simply disabling the plan as a cost cut)" + ] + }, + { + "id": "guardduty-cost-negative-trigger", + "task_type": "chat", + "prompt": "Walk me through rotating an IAM access key for one of my users without breaking their running application.", + "expected_output": "The GuardDuty cost optimization skill should not activate - this is an IAM access key rotation request unrelated to GuardDuty cost.", + "should_trigger": false, + "assertions": [ + "The response addresses IAM access key rotation and does not steer the user into a GuardDuty cost optimization review" + ] + } + ] +} diff --git a/skills/guardduty-cost-optimization/evals/files/guardduty-context.json b/skills/guardduty-cost-optimization/evals/files/guardduty-context.json new file mode 100644 index 00000000..fe488c7e --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/files/guardduty-context.json @@ -0,0 +1,32 @@ +{ + "account": "$accountId", + "region": "us-east-1", + "detectorEnabled": true, + "protectionPlans": [ + { + "plan": "Foundational Threat Detection", + "dataSource": "VPCFlowLogDNSLogEvents", + "metric": "AnalyzedBytes", + "region": "us-east-1", + "inFreeTrial": false, + "findingsInWindow": 4 + }, + { + "plan": "S3 Protection", + "dataSource": "S3DataEvents", + "metric": "AnalyzedCount", + "region": "us-east-1", + "inFreeTrial": false, + "findingsInWindow": 0 + }, + { + "plan": "Runtime Monitoring", + "dataSource": "RuntimeMonitoringEC2", + "metric": "MonitoredVcpuHours", + "region": "us-east-1", + "inFreeTrial": true, + "agentTransmitting": false, + "findingsInWindow": 0 + } + ] +} diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/benchmark.json b/skills/guardduty-cost-optimization/evals/functional/v1/benchmark.json new file mode 100644 index 00000000..d635037e --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/benchmark.json @@ -0,0 +1,1353 @@ +{ + "summary": "This A/B evaluation covered 6 chat-task evals about GuardDuty cost/security behavior, run 3 times each (one eval, guardduty-cost-negative-trigger, was intentionally skipped since it tests that no trigger fires \u2014 both variants correctly did not trigger there, so no other data applies).\n\n**Where results were mixed or diverging:**\n- guardduty-cost-severity-definitions: with_skill passed the expected output and all 18 assertions 3/3 (high confidence), while without_skill failed all of them (0/18). This is a clear, consistent divergence, not a marginal one. without_skill was faster and cheaper (1s/$0.02 vs 5s/$0.04) and more consistent output score was lower (mostly_consistent/inconsistent vs with_skill's fully consistent), but the correctness gap dominates here.\n- guardduty-cost-security-tradeoff: with_skill again passed expected output and all 9 assertions (high confidence). For without_skill, assertions are marked null/\"inconclusive\" rather than failing \u2014 this looks like the eval could not score without_skill's output at all (possibly no meaningful response, given its 0s runtime and $0.00 cost), so this is better read as missing/inconclusive data for without_skill rather than a confirmed failure.\n- guardduty-cost-runtime-agent-gap: here the trigger itself did not fire for either variant in any of the 3 runs (0/3), meaning the underlying test condition wasn't met \u2014 this affects how much weight to put on the rest of the eval. Despite that, expected-output and assertion scoring still occurred: without_skill passed expected output 2/3 (67%, high confidence) and assertions 8/9 (89%), while with_skill passed expected output 0/3 and assertions 6/9 (67%, medium confidence on the failing assertion). One assertion (\"identifies VPC Flow Log charges still being paid\") was flaky for without_skill (2/3) and failed entirely for with_skill (0/3), while two other assertions passed for both variants every time. Given the trigger didn't fire as expected, these results should be treated cautiously. No quality-comparison pairs were evaluated for this eval.\n\n**Where both variants performed equivalently:**\n- guardduty-cost-runtime-offset and guardduty-cost-log-config-quirk: both variants passed expected output 3/3 and all assertions 100% with high confidence \u2014 these assertions did not differentiate the variants. However, the LLM-judged quality comparison favored without_skill on both evals (5/9 and 3/9 pairs favoring without_skill on accuracy/actionability/completeness, none favoring with_skill, with medium confidence), while runtimes and costs were close (with_skill slightly faster/cheaper in one, roughly equal in the other) and output consistency was similar (both \"mostly_consistent\"). This suggests a quality-preference tilt toward without_skill even where pass/fail assertions were identical.\n\n**Consistency across runs:** Output consistency was generally \"consistent\" to \"mostly_consistent\" for both variants across evals where measured, with one exception \u2014 without_skill scored \"inconsistent\" on one dimension in the severity-definitions eval, alongside its complete assertion failure there.\n\n**Overall picture:** No single dimension universally favors one variant. with_skill showed stronger, unambiguous performance on two evals (severity-definitions, security-tradeoff) with high-confidence full passes, while without_skill's results were inconclusive or absent on those same evals. Conversely, on the two evals where both variants passed assertions equally, LLM-judged quality favored without_skill, and on the eval where the trigger condition failed to fire for either variant, without_skill scored higher on expected-output and assertions, though that eval's trigger issue limits how much confidence can be placed in it. Runtime and cost differences were generally small (single-digit seconds, cents) except where one variant produced near-instant, likely degenerate responses (0s/$0.00) on two evals, which coincided with inconclusive or failing scores for that variant on those specific evals.", + "timestamp": "2026-09-29T13:19:12Z", + "version": "v1", + "model": "us.anthropic.claude-sonnet-5", + "iterations": 3, + "total_evals": 6, + "total_iterations_run": 33, + "total_failed": 0, + "cleanup_skipped": false, + "understanding_agent_space_skill": { + "enabled": false, + "found": 0, + "timed_out": 0, + "errored": 0, + "not_waited": 33 + }, + "evals": { + "guardduty-cost-severity-definitions": { + "summary": "This eval tested a chat task about listing GuardDuty severity levels (CRITICAL, HIGH, MEDIUM, LOW, INFO) in order of urgency, across 3 runs per variant.\n\nTrigger: The behavior under test fired in all 3 runs (100%), so the comparison is based on a full set of data.\n\nExpected output / assertions: This is the clearest and most consistent finding in the results. with_skill met the expected output in all 3 runs (3/3, 100%, high confidence) and passed all 18 individual assertions (100%). without_skill failed to meet the expected output in all 3 runs (0/3) and failed all 18 assertions (0%). Every one of the 6 distinct assertion checks (listing each of the five severity levels, plus correct ordering from most to least urgent) followed the same pattern: with_skill passed and without_skill failed, consistently across all runs. Both variants' confidence ratings on these judgments were \"high,\" so this is not a low-confidence artifact \u2014 the measurement itself appears reliable. Since none of the 6 assertions passed for both variants and none failed for both, every assertion in this eval discriminated between the two variants in the same direction, which is a notably one-sided pattern.\n\nRuntime and cost: without_skill was faster (~1s vs ~5s) and cheaper (~$0.02 vs ~$0.04) than with_skill. Context window utilization was low and similar for both (3.7% vs 4.4%), with no compaction needed for either.\n\nQuality comparison: No side-by-side quality pairs could be evaluated (0 pairs evaluated, 3 skipped), so there is no direct quality-comparison data to weigh here beyond the assertion results above.\n\nOutput consistency: with_skill's outputs were rated fully \"consistent\" across runs (score 3.0, high confidence). without_skill's outputs were rated \"mostly_consistent\" overall (score 2.0), with a mix of consistent, mostly_consistent, and inconsistent dimension ratings, also at high confidence \u2014 suggesting without_skill's outputs varied somewhat more run-to-run.\n\nOverall picture: The dominant signal here is that without_skill did not produce output meeting the expected structure/content for this task in any of the 3 runs, while with_skill did so reliably and consistently. This holds against a backdrop of without_skill being notably faster and cheaper, and both showing low, similar resource utilization. Given the uniform, high-confidence failure pattern across every assertion for without_skill, the speed/cost advantage appears alongside a task-correctness gap for this particular eval, rather than the two being independent, comparably-weighted tradeoffs. No quality-pair data or trigger-based caveats complicate this reading, though it is worth noting this reflects a single eval/task rather than a broad multi-task pattern.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0, + "low_confidence": 0, + "avg_confidence": "high" + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "lists CRITICAL", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "classification": "skill_uplift" + }, + { + "index": 1, + "text": "lists HIGH", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "classification": "skill_uplift" + }, + { + "index": 2, + "text": "lists MEDIUM", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "classification": "skill_uplift" + }, + { + "index": 3, + "text": "lists LOW", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "classification": "skill_uplift" + }, + { + "index": 4, + "text": "lists INFO", + "evaluator": "regex", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "classification": "skill_uplift" + }, + { + "index": 5, + "text": "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0, + "avg_confidence": "high" + }, + "classification": "skill_uplift" + } + ], + "with_skill": { + "pass_rate": "18/18", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "0/18", + "percentage": 0 + } + }, + "metrics": { + "with_skill": { + "runtime_avg": "5s", + "cost_avg": "$0.04", + "context_window_avg": { + "utilization": "4.4%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "1s", + "cost_avg": "$0.02", + "context_window_avg": { + "utilization": "3.7%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 0, + "pairs_skipped": 3, + "skip_reasons": [ + "without_skill expected_output test failed" + ], + "overall": { + "with_skill_wins": 0, + "without_skill_wins": 0, + "equivalent": 0, + "winner": "equivalent", + "summary": "Equivalent overall (0 vs 0 criterion wins out of 0 judgments)." + }, + "per_criterion": {}, + "iterations": [ + { + "iteration": 1, + "skipped": true, + "skip_reason": "without_skill expected_output test failed" + }, + { + "iteration": 2, + "skipped": true, + "skip_reason": "without_skill expected_output test failed" + }, + { + "iteration": 3, + "skipped": true, + "skip_reason": "without_skill expected_output test failed" + } + ] + } + }, + "output_consistency": { + "comparison": { + "more_consistent": "with_skill", + "with_skill_wins": 2, + "without_skill_wins": 0, + "equivalent": 1, + "summary": "with_skill is more consistent: it won 2 dimension(s), without_skill 0, 1 equivalent of 3." + }, + "with_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "consistent", + "overall_score": 3.0, + "dimension_counts": { + "consistent": 3 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs list the identical five severity levels (CRITICAL, HIGH, MEDIUM, LOW, INFO) in the same order, with matching descriptions and timeframes for each level.", + "evidence": "All iterations state: CRITICAL \u2014 runaway cost... (24-48 hours), HIGH \u2014 clear sizable saving... (1 week), MEDIUM \u2014 notable saving... (30 days), LOW \u2014 minor saving/hygiene, INFO \u2014 observation only, no action required." + }, + "recommendation_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "Each output attaches the same implicit recommendation/timeframe to each severity level (e.g., fix CRITICAL within 24-48 hours, HIGH within 1 week, MEDIUM within 30 days, LOW when convenient, INFO no action), with no divergence across iterations.", + "evidence": "'fix within 24\u201348 hours', 'fix within 1 week', 'plan within 30 days', 'address when convenient', 'no action required' appear identically in all three." + }, + "format_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs use the same numbered list format with bolded severity level names followed by em-dash descriptions, preceded by a brief introductory sentence.", + "evidence": "All use '1. **CRITICAL** \u2014 ...' style numbered list with a lead-in sentence like 'The five severity levels, from most to least urgent...'" + } + } + }, + "without_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "mostly_consistent", + "overall_score": 2.0, + "dimension_counts": { + "consistent": 1, + "mostly_consistent": 1, + "inconsistent": 1 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "inconsistent", + "confidence": "high", + "reasoning": "All three outputs agree they lack a specific 'GuardDuty cost optimization skill' and that AWS GuardDuty does not natively have five severity levels. However, they diverge materially on what the actual/standard GuardDuty severity scheme is: iteration 1 states GuardDuty has FOUR levels (Critical, High, Medium, Low), while iterations 2 and 3 state GuardDuty has THREE levels (High, Medium, Low). This is a direct factual contradiction between iteration 1 and iterations 2/3.", + "evidence": "Iteration 1: 'general GuardDuty documentation only defines four severity levels for findings ... Critical, High, Medium, and Low.' Iteration 2: 'its findings use a numeric severity scale (0.1\u20138.9) mapped to three labels \u2014 High, Medium, Low \u2014 not five levels.' Iteration 3: 'GuardDuty findings use a numeric severity score mapped to three levels \u2014 High, Medium, and Low \u2014 not five.'", + "diverging_iterations": [ + 1 + ] + }, + "recommendation_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "All three responses recommend either clarifying the source of the five-level scheme or offering to verify/look up the standard GuardDuty severity documentation. Iteration 1 asks the user to point to the source or offers to use the standard four-level scale; iterations 2 and 3 offer to verify against AWS documentation. The general recommendation direction (seek clarification / offer verification) is shared, but the specifics differ slightly (asking user for source vs. offering to look it up directly), making them mostly but not fully aligned.", + "evidence": "Iteration 1: 'Could you point me to where you saw the five-level scale ... or would you like me to go with the standard four-level GuardDuty severity scale instead?' Iteration 2: 'If you'd like, I can verify that against AWS documentation to be sure it's current.' Iteration 3: 'If you'd like, I can look up GuardDuty's actual severity documentation to confirm the standard levels.'" + }, + "format_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs are short prose paragraphs with no tables, lists, or headers. Each follows a similar shape: statement of missing skill, correction about actual GuardDuty severity levels, and an offer/question to the user. The presentation style is uniform across all three.", + "evidence": "All three responses use plain conversational prose without bullet points, tables, or section headers, e.g., iteration 1: 'I should flag something here...' iteration 2: 'I don't see a...' iteration 3: 'I don't have a specific...'" + } + } + } + } + }, + "guardduty-cost-runtime-offset": { + "summary": "Both variants performed equivalently on the pass/fail measures: the trigger fired in all 3 runs, both variants met the expected output in 3/3 cases with high confidence, and both passed all 9 assertions (100%) across the 3 test cases. The three individual assertions\u2014about referencing GuardDuty Runtime Monitoring/VPC Flow Log charges, stating that Runtime Monitoring offsets the Flow Log charge for monitored instances, and conveying that the two charges trade off and must be evaluated net\u2014passed for both variants every time, meaning none of these assertions differentiate the two systems; they are consistently satisfied by both. One assertion (about the trade-off framing) was rated with only medium average confidence for without_skill versus high for with_skill, a minor difference in evaluator certainty rather than in outcome.\n\nWhere the variants diverge is in the pairwise quality comparison and in runtime/cost. On quality, across 3 evaluated pairs (none skipped), without_skill was favored in 5 of the individual criterion judgments (all 3 accuracy judgments plus 1 each in actionability and completeness), with_skill was favored in 0, and 4 were judged comparable; this comparison carries only medium average confidence, so the signal, while consistently one-directional, should be treated as moderate rather than definitive. On efficiency, with_skill was faster (avg 6s vs 9s) and cheaper (avg $0.06 vs $0.08) than without_skill, with both well under the 30s runtime threshold and neither exceeding it. Context window utilization was low and similar for both (4.4% vs 4.0%), with no compaction events for either.\n\nOutput consistency was essentially identical between the two: both were rated 'mostly_consistent' overall with the same score (2.33) and the same distribution across dimensions (1 consistent, 2 mostly consistent), both with high confidence \u2014 so neither variant showed more run-to-run variability than the other.\n\nOverall, the two variants are functionally equivalent on the pass/fail correctness measures (expected output and assertions), which all show ceiling performance for both and thus don't distinguish them. The main tradeoff observed is that without_skill's outputs were favored more often in a medium-confidence quality comparison (particularly on accuracy), while with_skill ran faster and at lower cost. Neither difference is large enough, nor is either measurement strong enough in confidence, to be read as one variant being clearly stronger overall.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "The response refers to GuardDuty Runtime Monitoring and VPC Flow Log processing charges", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 1, + "text": "The response states that for monitored instances GuardDuty does not charge for VPC Flow Log processing (Runtime Monitoring offsets/decreases that charge)", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 2, + "text": "The response conveys that the two charges trade against each other so the net effect must be evaluated", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "medium" + }, + "classification": "always_passes" + } + ], + "with_skill": { + "pass_rate": "9/9", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "9/9", + "percentage": 100 + } + }, + "metrics": { + "with_skill": { + "runtime_avg": "6s", + "cost_avg": "$0.06", + "context_window_avg": { + "utilization": "4.4%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "9s", + "cost_avg": "$0.08", + "context_window_avg": { + "utilization": "4.0%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 3, + "pairs_skipped": 0, + "skip_reasons": [], + "overall": { + "with_skill_wins": 0, + "without_skill_wins": 5, + "equivalent": 4, + "winner": "without_skill", + "avg_confidence": "medium", + "summary": "without_skill wins overall (5 vs 0 criterion wins out of 9 judgments, avg confidence: medium)." + }, + "per_criterion": { + "accuracy": { + "with_skill_wins": 0, + "without_skill_wins": 3, + "equivalent": 0 + }, + "actionability": { + "with_skill_wins": 0, + "without_skill_wins": 1, + "equivalent": 2 + }, + "completeness": { + "with_skill_wins": 0, + "without_skill_wins": 1, + "equivalent": 2 + } + }, + "iterations": [ + { + "iteration": 1, + "overall_winner": "without_skill", + "position_assignment": "with_skill=output_b", + "criteria": [ + { + "criterion": "accuracy", + "winner": "without_skill", + "confidence": "medium", + "reasoning": "Both outputs describe the same core mechanism (Flow Log processing charges are suppressed while Runtime Monitoring agent is active, and resume if it goes dark), which aligns with actual AWS GuardDuty documentation on this billing behavior. Output A is transparent that it does not have a specific 'GuardDuty cost optimization skill' and instead sourced the answer from general AWS documentation, which is an honest and accurate disclosure given the user's question presupposes such a skill exists. Output B, in contrast, fabricates specific details ('\u00a74.2 in its opportunities reference', 'one of the seven cost-optimization checks the skill evaluates') that imply the agent has and consulted a specific skill with a document structure, presenting invented specificity as if it were factual skill content. This is a significant accuracy concern because it fabricates a source that may not exist, whereas Output A correctly flags the absence of such a skill.", + "evidence": "Output A: 'A quick clarification first: I don't have a skill called \"GuardDuty cost optimization\" in my toolset, so this answer comes from AWS documentation rather than a skill of mine.' Output B: 'This is one of the seven cost-optimization checks the skill evaluates (\u00a74.2 in its opportunities reference) when reviewing an account's GuardDuty spend.'" + }, + { + "criterion": "actionability", + "winner": "without_skill", + "confidence": "medium", + "reasoning": "Output A provides a concrete, verifiable action step by mentioning that the effect is visible in GuardDuty's CloudWatch usage metrics, giving the user a way to confirm this behavior in their own environment. Output B does provide a useful actionable insight (evaluate net effect of both costs together, watch for silent resumption of charges), which is practical, but it lacks the concrete verification mechanism (CloudWatch metrics) that Output A offers. Both give the 'coverage gap' warning, but Output A's suggestion to check CloudWatch usage metrics is a slightly more concrete, actionable step for the user to validate cost impact themselves.", + "evidence": "Output A: 'Enabling Runtime Monitoring will show up as a decrease in VPC Flow Logs usage in GuardDuty's CloudWatch usage metrics; disabling it restores that usage (and the associated charges).' Output B: 'you should size the net effect of the two charges together, not evaluate either one in isolation.'" + }, + { + "criterion": "completeness", + "winner": "equivalent", + "confidence": "medium", + "reasoning": "Both outputs cover the essential facts: (1) Flow Log processing charges stop while Runtime Monitoring agent is active, (2) charges resume if agent stops reporting, (3) advice to evaluate net cost effect. Output A adds detail about Flow Logs still being processed for defense-in-depth (though this specific claim is not verified against AWS docs and could be an embellishment) and the CloudWatch metrics visibility angle. Output B frames the answer explicitly around net-cost evaluation guidance and coverage-gap risk, and references the skill structure (which, though likely fabricated details, adds an additional framing dimension). Both leave out any absolute pricing figures or the precise GuardDuty protection plan under which this applies (Runtime Monitoring protection plan for EC2/EKS/ECS), though Output A specifies EC2/EKS coverage, giving it slightly more specificity in scope.", + "evidence": "Output A: 'For any EC2 instance or EKS workload monitored by GuardDuty Runtime Monitoring...' Output B: 'For instances covered by the Runtime Monitoring agent, GuardDuty stops charging for VPC Flow Log processing on those instances.'" + } + ] + }, + { + "iteration": 2, + "overall_winner": "without_skill", + "position_assignment": "with_skill=output_b", + "criteria": [ + { + "criterion": "accuracy", + "winner": "without_skill", + "confidence": "medium", + "reasoning": "Output A explicitly discloses that it doesn't have access to a 'GuardDuty cost optimization skill' and clarifies that its answer is based on general AWS documentation instead, which is a more accurate representation of its actual capabilities given the user asked specifically 'according to the GuardDuty cost optimization skill.' Output B falsely claims to be answering 'according to the skill' without any such disclosure, presenting information as if sourced from a specific skill it may not have actually accessed, which is potentially misleading. Both outputs present largely consistent core facts about the cost tradeoff mechanism (Runtime Monitoring offsetting VPC Flow Log charges, and charges resuming if agent stops transmitting), which aligns with actual AWS GuardDuty billing behavior. However, Output A's transparency about sourcing is a meaningful accuracy/honesty advantage.", + "evidence": "Output A: 'Just to be clear: I don't actually have a skill called \"GuardDuty cost optimization\" in my toolset, so this answer comes from AWS's published documentation rather than that specific source.' Output B: 'According to the skill, Runtime Monitoring and VPC Flow Log charges trade against each other' \u2014 presented without any caveat about whether such a skill was actually consulted." + }, + { + "criterion": "actionability", + "winner": "equivalent", + "confidence": "medium", + "reasoning": "Both outputs provide similar practical takeaways: the cost-neutral tradeoff between Runtime Monitoring and VPC Flow Log charges, and the operational risk that charges resume if the agent stops transmitting. Neither provides significantly more specific next steps (e.g., how to monitor this in CloudWatch, specific cost calculation guidance) beyond general awareness, though Output A does mention checking CloudWatch usage metrics as a way to observe the effect, which is a slightly more concrete actionable detail.", + "evidence": "Output A: 'This shows up as decreased VPC Flow Log usage in your GuardDuty CloudWatch usage metrics once Runtime Monitoring is enabled.' Output B: 'The skill flags this as something to size net, not in isolation' \u2014 advises considering net costs but doesn't specify how to monitor or verify this in practice." + }, + { + "criterion": "completeness", + "winner": "equivalent", + "confidence": "medium", + "reasoning": "Both outputs cover the same core points: (1) Runtime Monitoring offsets VPC Flow Log processing charges for covered instances, (2) this is a net/paired cost consideration rather than additive charges, and (3) if the agent stops transmitting, VPC Flow Log charges resume. Output A adds a detail about GuardDuty still processing logs in the background for defense-in-depth even though not billed, which is a slightly additional nuance, while Output B adds the framing about not counting savings in isolation from Runtime Monitoring spend. Both are comparably complete in addressing the user's specific question.", + "evidence": "Output A: 'GuardDuty still technically processes the VPC Flow Logs and DNS logs in the background for defense-in-depth \u2014 but you're not billed for it.' Output B: 'a saving on VPC Flow Log costs shouldn't be counted without accounting for the Runtime Monitoring spend that produced it.'" + } + ] + }, + { + "iteration": 3, + "overall_winner": "without_skill", + "position_assignment": "with_skill=output_b", + "criteria": [ + { + "criterion": "accuracy", + "winner": "without_skill", + "confidence": "medium", + "reasoning": "Both outputs describe the same core mechanism (Runtime Monitoring offsets VPC Flow Log processing charges, and reverts if the agent stops reporting), which aligns with AWS documentation. Output A adds more precise and verifiable details, such as the specific mention of EC2/EKS runtime agents, DNS logs and CloudTrail being foundational data sources that can't be disabled, and the concrete claim that this shows up in CloudWatch usage metrics. Output B's claim that 'charges silently resume' is a reasonable inference but slightly editorializes without citing a specific mechanism. Output A also transparently notes it pulled info from AWS docs rather than a specific 'skill', which is an honest disambiguation given the user referenced a nonexistent tool/skill. Output B implies it used 'the skill' without clarifying it doesn't have such a tool, which could be seen as slightly less transparent/accurate about its knowledge source.", + "evidence": "Output A: 'GuardDuty stops charging for VPC Flow Log processing on those instances as long as the agent is actively sending runtime event data... This shows up concretely in usage metrics: enabling Runtime Monitoring decreases VPC Flow Logs usage in GuardDuty's CloudWatch usage metrics.' Output B: 'if the Runtime Monitoring agent stops transmitting... the VPC Flow Log charges silently resume for that instance.'" + }, + { + "criterion": "actionability", + "winner": "equivalent", + "confidence": "high", + "reasoning": "Both outputs end with a similar actionable offer \u2014 Output A offers to check if Runtime Monitoring is enabled and review VPC Flow Logs usage; Output B offers to run a cost review to size the offset with real usage data. Both are practical next steps of similar specificity and value, tailored to the 'No account access required' constraint by offering optional follow-up.", + "evidence": "Output A: 'If you'd like, I can look at whether Runtime Monitoring is enabled in your account and check what your actual VPC Flow Logs usage looks like.' Output B: 'If you want, I can run a cost review against your account to size this offset with real usage data.'" + }, + { + "criterion": "completeness", + "winner": "without_skill", + "confidence": "medium", + "reasoning": "Output A covers more ground: it explains the mechanism, the fallback behavior (agent stops sending data reverts to full charging), the metric-level visibility (CloudWatch usage metrics), and additionally notes that DNS Logs and CloudTrail are foundational data sources that can't be disabled \u2014 providing a broader picture of related billing behavior. Output B is more concise and focuses on the net-effect framing and the conditional nature of the offset, but omits the metrics visibility detail and the foundational data source clarification, making it slightly less complete.", + "evidence": "Output A: 'DNS Logs and CloudTrail remain foundational data sources that can't be turned off while GuardDuty itself is enabled.' Output B lacks this level of detail and does not mention CloudWatch usage metrics or foundational data sources." + } + ] + } + ] + }, + "runtime": { + "pairs_evaluated": 3, + "pairs_skipped": 0, + "threshold_exceeded_count": 0, + "threshold_seconds": 30.0, + "iterations": [ + { + "iteration": 1, + "with_skill_seconds": 7.096, + "without_skill_seconds": 9.974, + "delta_seconds": -2.9, + "threshold_exceeded": false + }, + { + "iteration": 2, + "with_skill_seconds": 7.209, + "without_skill_seconds": 9.381, + "delta_seconds": -2.2, + "threshold_exceeded": false + }, + { + "iteration": 3, + "with_skill_seconds": 6.116, + "without_skill_seconds": 8.634, + "delta_seconds": -2.5, + "threshold_exceeded": false + } + ] + } + }, + "output_consistency": { + "comparison": { + "more_consistent": "equivalent", + "with_skill_wins": 0, + "without_skill_wins": 0, + "equivalent": 3, + "summary": "Neither side is more consistent (with_skill won 0 dimension(s), without_skill 0, 3 equivalent of 3)." + }, + "with_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "mostly_consistent", + "overall_score": 2.33, + "dimension_counts": { + "consistent": 1, + "mostly_consistent": 2 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs state the identical core fact: for instances covered by Runtime Monitoring agent, GuardDuty stops charging for VPC Flow Log processing on those instances, the charges offset rather than stack, the net effect must be considered (not evaluated in isolation), and if the agent stops transmitting, VPC Flow Log charges silently resume. These key facts appear in all three responses with only minor wording differences.", + "evidence": "All three say 'GuardDuty stops charging for VPC Flow Log processing on those instances' and 'if the Runtime Monitoring agent stops transmitting... VPC Flow Log charges silently resume'. Iteration 1 adds a specific citation '(\u00a74.2 in its opportunities reference)' and mentions 'seven cost-optimization checks' which is an extra detail not present in iterations 2 and 3." + }, + "recommendation_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "Iterations 1 and 2 give the same implicit recommendation (size the net effect, watch for coverage gaps) without an explicit next-step action. Iteration 3 adds an explicit offer: 'If you want, I can run a cost review against your account to size this offset with real usage data,' which is a concrete next-step recommendation not present in the other two.", + "evidence": "Iteration 3: 'If you want, I can run a cost review against your account to size this offset with real usage data.' This offer is absent in iterations 1 and 2.", + "diverging_iterations": [ + 3 + ] + }, + "format_consistency": { + "verdict": "mostly_consistent", + "confidence": "high", + "reasoning": "All three use a similar structure: an intro sentence stating the core fact, followed by bullet points elaborating nuances. Iteration 1 adds a distinct closing sentence referencing the skill's structure (seven checks, \u00a74.2), while iteration 3 ends with a prose offer for further action rather than a summary sentence like iteration 2's closing paragraph. These are minor structural variances within the same overall shape.", + "evidence": "Iteration 1 ends with 'This is one of the seven cost-optimization checks the skill evaluates (\u00a74.2...)' while iteration 2 ends with a summary paragraph, and iteration 3 ends with an offer to run a cost review. Iteration 3 also opens without a bolded intro bullet, unlike 1 and 2 which start with a bolded lead sentence.", + "diverging_iterations": [ + 1, + 3 + ] + } + } + }, + "without_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "mostly_consistent", + "overall_score": 2.33, + "dimension_counts": { + "consistent": 1, + "mostly_consistent": 2 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs give the same core answer: enabling GuardDuty Runtime Monitoring stops charging for VPC Flow Log processing for the monitored instance while the agent is active, but logs are still processed for defense-in-depth. All three note the fallback to charging if the agent stops transmitting, and all mention the CloudWatch usage metrics showing decreased usage. All three also clarify they don't have a specific 'skill' and pulled from AWS docs. Iteration 3 adds an extra fact about DNS Logs/CloudTrail being foundational sources that can't be turned off, which is a minor additional detail not present in the others.", + "evidence": "Iteration 1: 'GuardDuty stops charging for VPC Flow Log processing on that instance as long as the runtime agent is actively sending event data.' Iteration 2: 'GuardDuty stops charging for VPC Flow Log processing on that instance, because the runtime agent's event data now provides that coverage.' Iteration 3: adds 'DNS Logs and CloudTrail remain foundational data sources that can't be turned off while GuardDuty itself is enabled.'", + "diverging_iterations": [ + 3 + ] + }, + "recommendation_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "None of the outputs give an explicit 'next steps' recommendation in a structured sense, since this is a factual/explanatory question. Iteration 3 uniquely offers to check the account's actual Runtime Monitoring status and Flow Logs usage, which is a proactive next-step recommendation not present in iterations 1 and 2. Iterations 1 and 2 conclude with a summary/net-effect statement rather than an actionable next step.", + "evidence": "Iteration 3: 'If you'd like, I can look at whether Runtime Monitoring is enabled in your account and check what your actual VPC Flow Logs usage looks like.' Iterations 1 and 2 end with 'Net effect...' summary statements without offering further action.", + "diverging_iterations": [ + 3 + ] + }, + "format_consistency": { + "verdict": "mostly_consistent", + "confidence": "high", + "reasoning": "All three responses use a similar shape: a clarification statement about the missing skill, followed by bullet points explaining the mechanism, then a note about the fallback behavior, then a closing summary/net-effect statement. Iteration 3 differs slightly by not including an explicit 'Net effect' summary section (using nuances list instead) and adds an offer for further account-specific investigation at the end, which is a structural addition not present in iterations 1 and 2.", + "evidence": "Iterations 1 and 2 both end with a bolded/italicized 'Net effect:' sentence. Iteration 3 ends with an offer to check account details instead of a 'Net effect' summary, and folds all details into a single 'few important nuances' list rather than separate labeled bullets like iterations 1 and 2.", + "diverging_iterations": [ + 3 + ] + } + } + } + } + }, + "guardduty-cost-log-config-quirk": { + "summary": "This evaluation covered a single chat task (3 runs each) about whether disabling VPC Flow Logs/S3 data event logging reduces GuardDuty costs. The behavior under test fired in all 3 trigger checks (this is measured once, not per variant).\n\nBoth variants met the expected output in all 3 runs (3/3), with high confidence in both cases, so this dimension shows no difference between them. Assertion pass rates were also identical and perfect: both without_skill and with_skill passed 6/6 assertions overall, and the two individual assertions shown (about GuardDuty billing not being affected by disabling customer-side logging, and about GuardDuty's independent data sources/cost lever being its protection-plan configuration) passed 3/3 for both variants at high confidence. These assertions are \"always_passes\" patterns here, meaning they did not differentiate the variants \u2014 both handled this content correctly.\n\nRuntime and cost were very close: with_skill averaged 8s/$0.07 and without_skill averaged 9s/$0.08, a small difference (~1s, ~$0.01) unlikely to be meaningful on its own. Context window utilization was similarly low and comparable for both (4.4% vs 4.0%), with no compaction events for either. No runs exceeded the 30s runtime threshold in the 3 pairs evaluated.\n\nOn output quality, across 3 pairs evaluated (6 comparable-criterion judgments total plus 3 favoring one side), without_skill was favored in all 3 overall comparisons, with with_skill favored in none. Breaking this down by criterion: accuracy favored without_skill in 2 of 3 pairs (1 comparable/tied), actionability favored without_skill in 1 of 3 pairs (2 comparable), and completeness showed no favored variant across all 3 pairs (fully comparable/tied). This quality judgment is based on only 3 pairs and carries medium average confidence, so it should be treated as a modest, not strongly certain, signal favoring without_skill on accuracy in particular.\n\nOutput consistency across repeated runs was rated \"mostly_consistent\" for both variants, with high confidence. Variant_a scored slightly higher on the consistency scale (2.67, with 2 of 3 dimensions rated fully \"consistent\") compared to with_skill (2.33, with 1 of 3 dimensions \"consistent\" and 2 \"mostly_consistent\"), a small difference suggesting without_skill's outputs varied marginally less run-to-run, though both are in the same qualitative consistency band.\n\nOverall, this is a case where the pass/fail dimensions (expected output, assertions, trigger) show no distinction between variants \u2014 both performed correctly and identically on the measured criteria. The differences that do appear are modest: without_skill shows a slight edge in the quality comparison (particularly accuracy, based on only 3 low-volume pairs at medium confidence) and slightly higher run-to-run consistency, while with_skill is marginally faster and cheaper. None of these differences are large, and given the small sample size (3 runs) and medium confidence on the quality judgment, they should be read as minor tendencies rather than decisive gaps.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "The response states that disabling the customer's own VPC Flow Logs or S3 data event logging does not reduce the GuardDuty bill", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 1, + "text": "The response explains GuardDuty reads from independent internal sources and the cost lever is the GuardDuty protection-plan configuration", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + } + ], + "with_skill": { + "pass_rate": "6/6", + "percentage": 100 + }, + "without_skill": { + "pass_rate": "6/6", + "percentage": 100 + } + }, + "metrics": { + "with_skill": { + "runtime_avg": "8s", + "cost_avg": "$0.07", + "context_window_avg": { + "utilization": "4.4%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "9s", + "cost_avg": "$0.08", + "context_window_avg": { + "utilization": "4.0%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 3, + "pairs_skipped": 0, + "skip_reasons": [], + "overall": { + "with_skill_wins": 0, + "without_skill_wins": 3, + "equivalent": 6, + "winner": "equivalent", + "avg_confidence": "medium", + "summary": "Equivalent overall, with a lean toward without_skill (0 vs 3 criterion wins out of 9 judgments, avg confidence: medium). Gotchas: without_skill is stronger on 'accuracy' (2/3 iterations)." + }, + "per_criterion": { + "accuracy": { + "with_skill_wins": 0, + "without_skill_wins": 2, + "equivalent": 1 + }, + "actionability": { + "with_skill_wins": 0, + "without_skill_wins": 1, + "equivalent": 2 + }, + "completeness": { + "with_skill_wins": 0, + "without_skill_wins": 0, + "equivalent": 3 + } + }, + "iterations": [ + { + "iteration": 1, + "overall_winner": "equivalent", + "position_assignment": "with_skill=output_b", + "criteria": [ + { + "criterion": "accuracy", + "winner": "equivalent", + "confidence": "high", + "reasoning": "Both outputs correctly state that disabling own VPC Flow Logs or S3 data event logging does not reduce GuardDuty billing, and both correctly identify the Runtime Monitoring exception where GuardDuty offsets Flow Log charges for covered instances. Output A includes a direct quote from AWS documentation, adding a degree of verifiable specificity, while Output B's explanation is accurate but slightly less precise in framing (e.g., mentions ECS which is not always explicitly covered in the standard exception, though it's plausible). Both are essentially factually aligned with the known GuardDuty cost model.", + "evidence": "Output A: 'Your individual service log configuration or filtering rules ... do not impact the logs/events processed by GuardDuty.' Output B: 'GuardDuty doesn't bill based on your own log configuration... enabling Runtime Monitoring on EC2/ECS/EKS workloads actually offsets VPC Flow Log charges.'" + }, + { + "criterion": "actionability", + "winner": "equivalent", + "confidence": "medium", + "reasoning": "Output A explicitly names concrete alternative levers for reducing GuardDuty costs (disabling specific protection plans/features, reducing monitored resource volume), giving the user clearer next steps beyond just identifying the correct lever. Output B mentions the protection-plan lever similarly but frames the actionable next step mainly as an offer to run a cost review, which is a request for further action rather than a direct recommendation.", + "evidence": "Output A: 'the real levers are things like disabling specific protection plans/features you don't need, or reducing the volume of resources GuardDuty monitors.' Output B: 'If you want, I can run a full GuardDuty cost review against your account...'" + }, + { + "criterion": "completeness", + "winner": "equivalent", + "confidence": "medium", + "reasoning": "Both outputs cover the core question thoroughly: explaining why disabling own logs doesn't affect billing, citing the mechanism (independent internal ingestion), and noting the Runtime Monitoring exception. Output A adds a documentation quote for credibility, while Output B adds a slightly broader protection plan list (Malware Protection) and offers a follow-up action. Both are comparably complete, covering the required scope without omission of key facts.", + "evidence": "Output A: lists VPC Flow Logs, DNS logs, CloudTrail events, S3 data events, Kubernetes audit logs, Lambda network logs. Output B: mentions VPC Flow Log analysis, S3 Protection, Runtime Monitoring, Malware Protection as protection plans." + } + ] + }, + { + "iteration": 2, + "overall_winner": "without_skill", + "position_assignment": "with_skill=output_a", + "criteria": [ + { + "criterion": "accuracy", + "winner": "without_skill", + "confidence": "medium", + "reasoning": "Both outputs correctly state the core fact that GuardDuty ingests data independently and that disabling your own VPC Flow Logs or S3 data event logging won't reduce the bill. Output B includes a direct quote attributed to AWS docs, which adds specificity and appears accurate to GuardDuty's documented behavior. Output B also correctly notes that suppression rules reduce noise, not cost, which is a nuanced and accurate clarification that Output A does not make. Output A's claim that Runtime Monitoring 'suppresses VPC Flow Log charges' is stated similarly in both, so this is consistent. Overall both are largely accurate, but Output B's inclusion of the verbatim doc reference and the suppression-rule clarification give it a slight edge in precision.", + "evidence": "Output B: 'Your individual service log configuration or filtering rules (for VPC Flow Logs, DNS Logs, CloudTrail Events, S3 Data Events, Kubernetes Audit Logs, and Lambda Network Logs) do not impact the logs/events processed by GuardDuty.' Output B: 'using suppression rules to reduce noise (not cost)'" + }, + { + "criterion": "actionability", + "winner": "without_skill", + "confidence": "medium", + "reasoning": "Output B provides a slightly more actionable set of takeaways by explicitly listing three concrete cost-reduction levers (disabling protection plans/features, right-sizing accounts/regions with GuardDuty enabled, and clarifying suppression rules don't reduce cost). Output A also gives actionable guidance (disable protection plan, watch Runtime Monitoring offset) but is less specific about the range of actual cost-reduction options, focusing mainly on protection plan disabling and the Runtime Monitoring interaction.", + "evidence": "Output B: 'the effective options are things like disabling protection plans/features you don't need, using suppression rules to reduce noise (not cost), or right-sizing which accounts/regions have GuardDuty enabled' vs Output A: 'Disabling the relevant GuardDuty protection plan... is what actually reduces the corresponding charge'" + }, + { + "criterion": "completeness", + "winner": "equivalent", + "confidence": "medium", + "reasoning": "Both outputs cover the core question thoroughly: explaining why disabling own logs doesn't affect GuardDuty billing, explaining the independent ingestion mechanism, discussing the Runtime Monitoring offset effect, and noting the real cost levers (protection plan disabling) with a security tradeoff caveat. Output A includes an explicit security-tradeoff caveat that protection plan disabling reduces detection surface, which Output B does not explicitly mention. Output B includes suppression rules and account/region right-sizing as additional real levers, which Output A does not mention. Both have complementary details, making them roughly equivalent in completeness.", + "evidence": "Output A: 'Any reduction in a protection plan is a security tradeoff, not a free lunch' Output B: 'or right-sizing which accounts/regions have GuardDuty enabled'" + } + ] + }, + { + "iteration": 3, + "overall_winner": "without_skill", + "position_assignment": "with_skill=output_a", + "criteria": [ + { + "criterion": "accuracy", + "winner": "without_skill", + "confidence": "medium", + "reasoning": "Both outputs arrive at the same correct core conclusion (disabling own VPC Flow Logs/S3 data event logging does not reduce GuardDuty bill) and both correctly note the Runtime Monitoring/VPC Flow Log billing interaction. However, Output B includes what appears to be a direct quote from AWS documentation, lending it stronger grounding and specificity ('Your individual service log configuration or filtering rules... do not impact the logs/events processed by GuardDuty'). This citation-style evidence suggests better fidelity to the source skill/documentation, assuming the quote is accurate. Output A's explanation is technically sound but more paraphrased without citing a specific source, making it slightly less verifiable. Both are largely equivalent in factual content otherwise.", + "evidence": "Output B: '\"Your individual service log configuration or filtering rules (for VPC Flow Logs, DNS Logs, CloudTrail Events, S3 Data Events, Kubernetes Audit Logs, and Lambda Network Logs) do not impact the logs/events processed by GuardDuty.\"' vs Output A's paraphrased explanation without direct sourcing." + }, + { + "criterion": "actionability", + "winner": "equivalent", + "confidence": "medium", + "reasoning": "Both outputs provide the same actionable guidance: the real cost lever is adjusting GuardDuty protection plans (S3 Protection, EKS Protection, etc.) rather than personal logging configs. Output A offers to walk through the user's actual protection plans and usage, which is a slightly more proactive next-step offer, but Output B explicitly lists more protection plan examples (S3, EKS, Lambda, RDS Protection) making its actionable guidance marginally more specific. These roughly balance out.", + "evidence": "Output A: 'If you want, I can walk through your actual GuardDuty protection plans and usage to see where your real cost levers are.' Output B: 'the right levers are things like adjusting which optional protection plans (S3 Protection, EKS Protection, Lambda Protection, RDS Protection, etc.) are enabled'" + }, + { + "criterion": "completeness", + "winner": "equivalent", + "confidence": "medium", + "reasoning": "Both outputs cover the core question (no bill reduction), explain the underlying mechanism (independent data pipeline/duplicate stream), mention the Runtime Monitoring nuance, and point to the real cost lever (protection plan configuration). Output B adds a documentation quote and mentions Output A doesn't explicitly note the user's own logging costs elsewhere, but B does mention that turning off own logs 'removes logs from your account (and any cost you pay for storing/processing them separately)' which is a nice added nuance not in A. Overall coverage is very similar with B having marginally more detail via the citation and the aside about storage costs.", + "evidence": "Output B: 'So turning those off just removes logs from *your* account (and any cost you pay for storing/processing them separately) \u2014 it has zero effect on what GuardDuty ingests or bills for' \u2014 this nuance about the user's own logging costs is not explicitly stated in Output A." + } + ] + } + ] + }, + "runtime": { + "pairs_evaluated": 3, + "pairs_skipped": 0, + "threshold_exceeded_count": 0, + "threshold_seconds": 30.0, + "iterations": [ + { + "iteration": 1, + "with_skill_seconds": 8.163, + "without_skill_seconds": 9.422, + "delta_seconds": -1.3, + "threshold_exceeded": false + }, + { + "iteration": 2, + "with_skill_seconds": 9.596, + "without_skill_seconds": 9.449, + "delta_seconds": 0.1, + "threshold_exceeded": false + }, + { + "iteration": 3, + "with_skill_seconds": 8.964, + "without_skill_seconds": 9.078, + "delta_seconds": -0.1, + "threshold_exceeded": false + } + ] + } + }, + "output_consistency": { + "comparison": { + "more_consistent": "without_skill", + "with_skill_wins": 0, + "without_skill_wins": 1, + "equivalent": 2, + "summary": "without_skill is more consistent: it won 1 dimension(s), with_skill 0, 2 equivalent of 3." + }, + "with_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "mostly_consistent", + "overall_score": 2.33, + "dimension_counts": { + "consistent": 1, + "mostly_consistent": 2 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs give the identical core answer: No, disabling own VPC Flow Logs or S3 data event logging will not reduce GuardDuty bill, because GuardDuty uses independent internal data sources rather than the user's own log configuration, and billing is per protection plan. All three also mention the Runtime Monitoring offset nuance for VPC Flow Log charges.", + "evidence": "Iteration 1: 'GuardDuty doesn't bill based on your own log configuration. It ingests VPC Flow Log and S3 data event activity from independent internal AWS sources'; Iteration 2: 'GuardDuty ingests VPC Flow Logs and S3 data events from its own independent internal sources'; Iteration 3: 'GuardDuty doesn't consume the flow logs or CloudTrail data events sitting in your account. It has its own independent internal data pipeline'" + }, + "recommendation_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "All three recommend the same primary action: disable the GuardDuty protection plan itself as the real cost lever, and offer to review the account's actual protection plans/usage. Iteration 2 adds an extra recommendation to weigh security tradeoffs before disabling a protection plan, which is a material additional consideration not explicitly stated as a recommendation in iterations 1 and 3 (though iteration 3 implies awareness of the offset behavior without framing it as a tradeoff decision).", + "evidence": "Iteration 1: 'If you want, I can run a full GuardDuty cost review against your account'; Iteration 2: 'Any reduction in a protection plan is a security tradeoff... it should be weighed against that plan's finding activity'; Iteration 3: 'If you want, I can walk through your actual GuardDuty protection plans and usage'", + "diverging_iterations": [ + 2 + ] + }, + "format_consistency": { + "verdict": "mostly_consistent", + "confidence": "high", + "reasoning": "All three use a similar shape: a direct No answer up top, a 'Why' explanation section, a nuance about Runtime Monitoring offset, and a closing offer to help with account review. Iteration 2 uses a bulleted list within its 'Why' section and adds an extra summary paragraph at the end, giving it a slightly different internal structure compared to iterations 1 and 3, which use more continuous prose with a single nuance paragraph.", + "evidence": "Iteration 1 and 3 use prose paragraphs with bold headers; Iteration 2 uses a bulleted list under 'Why' and adds a final 'So the short version' summary paragraph not present in the other two.", + "diverging_iterations": [ + 2 + ] + } + } + }, + "without_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "mostly_consistent", + "overall_score": 2.67, + "dimension_counts": { + "consistent": 2, + "mostly_consistent": 1 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs give the same core answer: No, disabling own VPC Flow Logs or S3 data event logging will not reduce GuardDuty bill, because GuardDuty ingests data through its own independent duplicate stream, quoting the same AWS doc line. All three also mention the same exception regarding Runtime Monitoring suppressing VPC Flow Logs charges.", + "evidence": "All three include: 'Your individual service log configuration or filtering rules ... do not impact the logs/events processed by GuardDuty.' and mention the Runtime Monitoring exception for VPC Flow Logs charges." + }, + "recommendation_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "All three recommend the same primary action: don't touch own logging config, instead adjust protection plans/features to reduce cost. However, iteration 2 adds an additional specific recommendation (suppression rules, right-sizing accounts/regions) not present in iterations 1 and 3, making it materially more detailed.", + "evidence": "Iteration 2: 'using suppression rules to reduce noise (not cost), or right-sizing which accounts/regions have GuardDuty enabled' vs iteration 1 and 3 which only mention disabling protection plans/features or reducing monitored resources.", + "diverging_iterations": [ + 2 + ] + }, + "format_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three use the same structure: a direct No answer, a 'Why' section with the same quoted AWS doc line, bullet points illustrating the two scenarios, an exception section, and a closing recommendation paragraph.", + "evidence": "Each response follows: bold 'No' statement -> 'Why:' bolded header with blockquote -> bullet list -> exception paragraph -> closing recommendation." + } + } + } + } + }, + "guardduty-cost-security-tradeoff": { + "summary": "This eval tested a chat scenario about GuardDuty cost-vs-security tradeoffs (e.g., whether the agent avoids recommending disabling a protection plan purely for cost).\n\nTrigger and expected output: The triggering condition fired in all 3 runs (3/3), so the behavior under test was exercised for both variants. However, the two variants diverge sharply on expected output: with_skill met the expected output in all 3 runs (3/3, 100%, high confidence, no low-confidence judgments), while without_skill met it in 0 of 3 runs (0/3, 0%). This is a large, consistently-measured gap rather than a marginal one.\n\nAssertions: All 9 per-assertion checks (3 assertions \u00d7 3 runs) passed for with_skill (9/9, 100%, high confidence throughout). No assertion data exists for without_skill \u2014 its assertion results are recorded as null rather than as failures, likely because assertion scoring wasn't applicable or wasn't run given without_skill's outputs. This means we have a solid, high-confidence picture of with_skill's assertion performance but no comparable per-assertion signal for without_skill, so assertions alone can't be used to characterize without_skill's shortfall \u2014 that shortfall is only visible via the expected_output measurement.\n\nQuality comparison: No head-to-head quality pairs were evaluated (0 evaluated, 3 skipped), so there is no direct quality comparison data available between the two variants for this eval.\n\nConsistency: with_skill's outputs were \"mostly consistent\" across repeated runs (score 2.67/3, with 2 dimensions fully consistent and 1 mostly consistent, high average confidence). without_skill has no consistency data (null), so nothing can be said about run-to-run stability for without_skill.\n\nMetrics: with_skill took ~9s per run at an average cost of ~$0.08, with low context utilization (4.4%, no compaction). without_skill shows 0s runtime and $0.00 cost with 3.6% context utilization \u2014 this near-zero runtime/cost pattern, combined with the 0/3 expected-output pass rate and null assertions/consistency, suggests without_skill's runs may not have produced substantive output or completed the task in a comparable way, rather than reflecting a genuinely faster/cheaper successful run. This should be treated as a notable caveat when interpreting the runtime/cost comparison rather than as a straightforward efficiency advantage.\n\nOverall, this is a case where the available measurements point in one direction fairly consistently (expected output met for with_skill but not without_skill, assertions fully passing for with_skill with no data for without_skill, consistency measured only for with_skill), but the absence of quality-comparison data and of any assertion/consistency data for without_skill limits how fully the two variants can be compared, and the anomalous 0s/$0.00 metrics for without_skill warrant further investigation before drawing strong conclusions from cost/runtime alone.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "low_confidence": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "0/3", + "percentage": 0, + "low_confidence": 0 + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "The response states the skill should never recommend disabling a protection plan purely on cost", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": null, + "classification": "inconclusive" + }, + { + "index": 1, + "text": "The response frames any reduction as a cost-vs-risk / cost-vs-security tradeoff", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": null, + "classification": "inconclusive" + }, + { + "index": 2, + "text": "The response defers the security decision to the user (and/or ties it to the plan's finding activity)", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": null, + "classification": "inconclusive" + } + ], + "with_skill": { + "pass_rate": "9/9", + "percentage": 100 + }, + "without_skill": null + }, + "metrics": { + "with_skill": { + "runtime_avg": "9s", + "cost_avg": "$0.08", + "context_window_avg": { + "utilization": "4.4%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.6%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 0, + "pairs_skipped": 3, + "skip_reasons": [ + "without_skill expected_output test failed" + ], + "overall": { + "with_skill_wins": 0, + "without_skill_wins": 0, + "equivalent": 0, + "winner": "equivalent", + "summary": "Equivalent overall (0 vs 0 criterion wins out of 0 judgments)." + }, + "per_criterion": {}, + "iterations": [ + { + "iteration": 1, + "skipped": true, + "skip_reason": "without_skill expected_output test failed" + }, + { + "iteration": 2, + "skipped": true, + "skip_reason": "without_skill expected_output test failed" + }, + { + "iteration": 3, + "skipped": true, + "skip_reason": "without_skill expected_output test failed" + } + ] + } + }, + "output_consistency": { + "comparison": { + "applicable": false, + "reason": "without_skill was not judged: Only 0 usable output(s); consistency needs at least 3." + }, + "with_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "mostly_consistent", + "overall_score": 2.67, + "dimension_counts": { + "consistent": 2, + "mostly_consistent": 1 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three outputs answer 'No' and cite the same core rule: never recommend disabling a protection plan purely on cost. All describe the required cost-vs-risk tradeoff framing, citing finding activity as the value signal, deferring the decision to the user, and the validation/self-check gate before report delivery. Minor stylistic/detail differences (iteration 1 adds extra guardrails about VPC Flow Logs/CloudTrail and Runtime Monitoring net-effect sizing) but the core answer and key facts are aligned.", + "diverging_iterations": [ + 1 + ] + }, + "recommendation_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three recommend the same approach: quantify cost and security value (finding activity) side by side, present as a tradeoff, defer final decision to the user, and apply a validation self-check before reporting. No conflicting recommendations across iterations." + }, + "format_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "All three use a similar shape: an initial 'No' statement, then a bulleted list of framing requirements, and a closing summary sentence. Iteration 1 includes an additional 'Two related guardrails' bulleted sub-section not mirrored in the other two, making it slightly more elaborate in structure, but overall the presentation choices (bold lead-ins, bullet points, closing synthesis) are recognizably the same shape across all three.", + "diverging_iterations": [ + 1 + ] + } + } + }, + "without_skill": { + "skipped": true, + "skip_reason": "Only 0 usable output(s); consistency needs at least 3.", + "excluded": [ + { + "iteration": 1, + "reason": "no output text to compare" + }, + { + "iteration": 2, + "reason": "no output text to compare" + }, + { + "iteration": 3, + "reason": "no output text to compare" + } + ] + } + } + }, + "guardduty-cost-runtime-agent-gap": { + "summary": "This eval covered a single chat scenario involving GuardDuty cost/coverage diagnostics, run 3 times per variant.\n\nTrigger fired: The \"trigger_fired\" measurement (0/3) shows the specific triggering behavior under test did not fire for either variant in any of the 3 runs \u2014 this is a shared, cross-variant signal rather than a difference between them.\n\nExpected output: without_skill met the expected output in 2/3 runs (67%, high confidence in that judgment), while with_skill met it in 0/3 runs (0%, medium confidence). This is a meaningful gap, though it rests on just 3 runs per variant, so the sample is small and some run-to-run variability is evident (without_skill itself was not consistent across all 3 runs).\n\nPer-assertion detail (9 total per variant, 3 unique assertions x 3 runs):\n- Two of the three assertions (\"identifies no runtime detection coverage is being collected\" and \"recommends fixing agent coverage rather than just disabling the plan\") passed 100% of the time for both variants \u2014 these assertions do not differentiate the variants at all.\n- One assertion (\"identifies that VPC Flow Log charges are still being paid because the offset doesn't apply\") shows a real split: without_skill passed 2/3 (high confidence) while with_skill passed 0/3 (high confidence), and this assertion is flagged as \"flaky.\" This single assertion accounts for essentially the entire aggregate gap (without_skill 8/9 vs with_skill 6/9 assertion pass rate).\n\nQuality comparison: No quality comparison could be performed \u2014 all 3 pairs were skipped, so there is no data on relative output quality.\n\nRuntime/cost: with_skill completed with ~0s runtime and $0.00 cost recorded, versus without_skill at ~9s and ~$0.08. This is a notable resource difference, but given with_skill's near-zero measurements, it's possible with_skill's run was truncated, errored, or otherwise didn't fully execute the task \u2014 which would also help explain its 0/3 expected-output pass rate. This should be treated as an open question rather than a confirmed efficiency advantage for with_skill.\n\nConsistency: without_skill's outputs were rated \"mostly_consistent\" across runs (score 2.33/3, high confidence). No consistency rating is available for with_skill (null), so we cannot compare stability between the two.\n\nOverall: The only clear differentiator here is one flaky assertion about VPC Flow Log charges, which drives the expected-output and aggregate assertion gap in favor of without_skill. Two other assertions show no difference (both variants pass fully). No quality-comparison data exists, and with_skill's suspiciously minimal runtime/cost and missing consistency data suggest its runs may not have executed in the same way as without_skill's, which limits confidence in directly comparing these results as a clean apples-to-apples test.", + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "0/3", + "percentage": 0 + }, + "without_skill": null + }, + "expected_output": { + "with_skill": { + "pass_rate": "0/3", + "percentage": 0, + "low_confidence": 0, + "avg_confidence": "medium" + }, + "without_skill": { + "pass_rate": "2/3", + "percentage": 67, + "low_confidence": 0, + "avg_confidence": "high" + } + }, + "assertions": { + "per_assertion": [ + { + "index": 0, + "text": "The response identifies that VPC Flow Log charges are still being paid because the agent is not covering those instances (the offset does not apply)", + "evaluator": "llm", + "with_skill": { + "pass_rate": "0/3", + "percentage": 0, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "2/3", + "percentage": 67, + "avg_confidence": "high" + }, + "classification": "flaky" + }, + { + "index": 1, + "text": "The response identifies that no runtime detection coverage is actually being collected despite the plan being enabled", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + }, + { + "index": 2, + "text": "The response recommends fixing the agent coverage (not simply disabling the plan as a cost cut)", + "evaluator": "llm", + "with_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "without_skill": { + "pass_rate": "3/3", + "percentage": 100, + "avg_confidence": "high" + }, + "classification": "always_passes" + } + ], + "with_skill": { + "pass_rate": "6/9", + "percentage": 67 + }, + "without_skill": { + "pass_rate": "8/9", + "percentage": 89 + } + }, + "metrics": { + "with_skill": { + "runtime_avg": "0s", + "cost_avg": "$0.00", + "context_window_avg": { + "utilization": "3.7%", + "compaction_count": 0 + } + }, + "without_skill": { + "runtime_avg": "9s", + "cost_avg": "$0.08", + "context_window_avg": { + "utilization": "3.9%", + "compaction_count": 0 + } + } + }, + "comparison": { + "quality": { + "pairs_evaluated": 0, + "pairs_skipped": 3, + "skip_reasons": [ + "with_skill trigger test failed" + ], + "overall": { + "with_skill_wins": 0, + "without_skill_wins": 0, + "equivalent": 0, + "winner": "equivalent", + "summary": "Equivalent overall (0 vs 0 criterion wins out of 0 judgments)." + }, + "per_criterion": {}, + "iterations": [ + { + "iteration": 1, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 2, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + }, + { + "iteration": 3, + "skipped": true, + "skip_reason": "with_skill trigger test failed" + } + ] + } + }, + "output_consistency": { + "comparison": { + "applicable": false, + "reason": "with_skill was not judged: Only 0 usable output(s); consistency needs at least 3." + }, + "with_skill": { + "skipped": true, + "skip_reason": "Only 0 usable output(s); consistency needs at least 3.", + "excluded": [ + { + "iteration": 1, + "reason": "trigger test failed" + }, + { + "iteration": 2, + "reason": "trigger test failed" + }, + { + "iteration": 3, + "reason": "trigger test failed" + } + ] + }, + "without_skill": { + "outputs_compared": 3, + "iterations_included": [ + 1, + 2, + 3 + ], + "overall": "mostly_consistent", + "overall_score": 2.33, + "dimension_counts": { + "consistent": 1, + "mostly_consistent": 2 + }, + "avg_confidence": "high", + "per_dimension": { + "answer_consistency": { + "verdict": "mostly_consistent", + "confidence": "medium", + "reasoning": "All three outputs agree on the core mechanism: the account-level 'Enabled' flag is separate from per-instance agent deployment/health, and instances without a healthy transmitting agent lose runtime detection coverage. However, the specific cost mechanism differs materially. Iterations 1 and 3 both describe a VPC Flow Log 'double-billing dedupe' \u2014 GuardDuty stops charging for flow-log analysis on instances actively transmitting runtime data, and this dedupe fails to kick in (or reverts) when the agent isn't transmitting, meaning the account is charged for both flow-log analysis AND runtime monitoring. Iteration 2 describes a different cost mechanism: billing is per-instance-hour for Runtime Monitoring eligibility/coverage itself, and you're billed for coverage you enabled but aren't receiving protection from \u2014 it does not mention the flow-log dedupe/double-billing concept at all. This is a materially different explanation of the 'cost' side of the problem.", + "diverging_iterations": [ + 2 + ] + }, + "recommendation_consistency": { + "verdict": "mostly_consistent", + "confidence": "high", + "reasoning": "All three converge on the same primary recommendations: (1) check per-instance coverage status via GuardDuty console/API rather than trusting the account-level toggle, (2) enable/verify 'Automated agent configuration' for EC2, (3) address underlying issues like SSM agent health, IAM permissions, or VPC endpoint connectivity for instances that fail automated deployment, and (4) re-check/monitor coverage going forward (iteration 2 and 3 add EventBridge/Config monitoring, iteration 1 does not explicitly). All three end with an offer to pull actual per-instance coverage data if given account access. Differences are in additional specifics (e.g., iteration 2 suggests tagging exclusions for billing, iteration 3 focuses more on VPC endpoint/security group troubleshooting) but the primary recommendation is shared across all." + }, + "format_consistency": { + "verdict": "consistent", + "confidence": "high", + "reasoning": "All three responses use the same overall shape: a 'problem' section explaining the two-layer mechanism (account toggle vs. agent), followed by a 'recommended fix' section as a numbered or bulleted list, and closing with an offer to check actual account coverage data (requiring access). Presentation choices (bold headers, lists) are consistent across all three; no output uses a table or diverges into a fundamentally different structure." + } + } + } + } + }, + "guardduty-cost-negative-trigger": { + "task_type": "chat", + "trigger": { + "with_skill": { + "pass_rate": "3/3", + "percentage": 100 + }, + "without_skill": null + }, + "expected_output": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + }, + "assertions": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + }, + "metrics": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + }, + "comparison": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + }, + "output_consistency": { + "skipped": true, + "skip_reason": "Eval is should_trigger: false" + } + } + } +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/evals.json b/skills/guardduty-cost-optimization/evals/functional/v1/evals.json new file mode 100644 index 00000000..2ac81932 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/evals.json @@ -0,0 +1,77 @@ +{ + "skill_name": "guardduty-cost-optimization", + "evals": [ + { + "id": "guardduty-cost-severity-definitions", + "task_type": "chat", + "prompt": "List the five severity levels the Amazon GuardDuty cost optimization skill uses for its findings, in order from most to least urgent. No account access required.", + "expected_output": "Lists CRITICAL, HIGH, MEDIUM, LOW, INFO in that order.", + "should_trigger": true, + "assertions": [ + {"text": "lists CRITICAL", "evaluator": "regex", "pattern": "CRITICAL"}, + {"text": "lists HIGH", "evaluator": "regex", "pattern": "HIGH"}, + {"text": "lists MEDIUM", "evaluator": "regex", "pattern": "MEDIUM"}, + {"text": "lists LOW", "evaluator": "regex", "pattern": "LOW"}, + {"text": "lists INFO", "evaluator": "regex", "pattern": "INFO"}, + "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)" + ] + }, + { + "id": "guardduty-cost-runtime-offset", + "task_type": "chat", + "prompt": "According to the GuardDuty cost optimization skill, how does enabling GuardDuty Runtime Monitoring affect VPC Flow Log processing charges for the instances it monitors? No account access required.", + "expected_output": "Explains that for instances actively monitored by the Runtime Monitoring agent, GuardDuty does not charge for VPC Flow Logs processing, so enabling Runtime Monitoring decreases VPC Flow Log usage/charges (and disabling it, or the agent not transmitting, restores them). The two line items trade against each other, so the net effect must be sized.", + "should_trigger": true, + "assertions": [ + "The response refers to GuardDuty Runtime Monitoring and VPC Flow Log processing charges", + "The response states that for monitored instances GuardDuty does not charge for VPC Flow Log processing (Runtime Monitoring offsets/decreases that charge)", + "The response conveys that the two charges trade against each other so the net effect must be evaluated" + ] + }, + { + "id": "guardduty-cost-log-config-quirk", + "task_type": "chat", + "prompt": "Will disabling my own VPC Flow Logs or turning off my S3 data event logging reduce my Amazon GuardDuty bill? According to the GuardDuty cost optimization skill, what is the correct answer and why? No account access required.", + "expected_output": "States that changing customer-side log configuration does NOT reduce GuardDuty cost because GuardDuty ingests from independent internal sources; the only cost lever is the GuardDuty protection-plan configuration itself.", + "should_trigger": true, + "assertions": [ + "The response states that disabling the customer's own VPC Flow Logs or S3 data event logging does not reduce the GuardDuty bill", + "The response explains GuardDuty reads from independent internal sources and the cost lever is the GuardDuty protection-plan configuration" + ] + }, + { + "id": "guardduty-cost-security-tradeoff", + "task_type": "chat", + "prompt": "According to the GuardDuty cost optimization skill, should it ever recommend disabling a GuardDuty protection plan purely to save money? Explain the framing the skill requires. No account access required.", + "expected_output": "States that the skill must never recommend disabling a protection plan on cost grounds alone; GuardDuty is a security control, so every reduction is framed as a cost-vs-risk (cost-vs-security) tradeoff citing finding activity, with the security decision deferred to the user.", + "should_trigger": true, + "assertions": [ + "The response states the skill should never recommend disabling a protection plan purely on cost", + "The response frames any reduction as a cost-vs-risk / cost-vs-security tradeoff", + "The response defers the security decision to the user (and/or ties it to the plan's finding activity)" + ] + }, + { + "id": "guardduty-cost-runtime-agent-gap", + "task_type": "chat", + "prompt": "In my account, GuardDuty Runtime Monitoring is ENABLED but the Runtime Monitoring agent is not actually transmitting on most of my EC2 instances. What is the cost-and-coverage problem here, and what is the recommended fix? No account access required.", + "expected_output": "Explains that this is the worst of both worlds - the account is still paying for VPC Flow Log processing (because the agent isn't covering those instances, so the offset does not apply) while getting no runtime detection coverage. Recommends fixing the agent coverage so it transmits (or, if runtime coverage is genuinely not wanted, honestly disabling the plan) rather than treating it as a simple cost saving.", + "should_trigger": true, + "assertions": [ + "The response identifies that VPC Flow Log charges are still being paid because the agent is not covering those instances (the offset does not apply)", + "The response identifies that no runtime detection coverage is actually being collected despite the plan being enabled", + "The response recommends fixing the agent coverage (not simply disabling the plan as a cost cut)" + ] + }, + { + "id": "guardduty-cost-negative-trigger", + "task_type": "chat", + "prompt": "Walk me through rotating an IAM access key for one of my users without breaking their running application.", + "expected_output": "The GuardDuty cost optimization skill should not activate - this is an IAM access key rotation request unrelated to GuardDuty cost.", + "should_trigger": false, + "assertions": [ + "The response addresses IAM access key rotation and does not steer the user into a GuardDuty cost optimization review" + ] + } + ] +} diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-log-config-quirk/with_skill/functional-tests-results.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-log-config-quirk/with_skill/functional-tests-results.json new file mode 100644 index 00000000..a5945a93 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-log-config-quirk/with_skill/functional-tests-results.json @@ -0,0 +1,58 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "guardduty-cost-log-config-quirk", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "passed", + "message": "Skill 'guardduty-cost-optimization' was triggered as expected", + "skill_loads_found": 1 + }, + "expected_output": { + "result": "passed", + "reasoning": "The agent's response directly states that disabling own VPC Flow Logs or S3 data event logging will NOT reduce the GuardDuty bill, explains that GuardDuty ingests VPC Flow Log and S3 data event activity from independent internal AWS sources rather than customer-configured log delivery, and identifies the GuardDuty protection-plan configuration as the only real cost lever. This matches all key elements of the expected output.", + "evidence": "\"No \u2014 disabling your own VPC Flow Logs or turning off S3 data event logging will not reduce your GuardDuty bill... GuardDuty doesn't bill based on your own log configuration. It ingests VPC Flow Log and S3 data event activity from independent internal AWS sources... The only real cost lever is the GuardDuty protection-plan configuration itself\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response states that disabling the customer's own VPC Flow Logs or S3 data event logging does not reduce the GuardDuty bill", + "evaluator": "llm", + "passed": true, + "evidence": "The response states: 'No \u2014 disabling your own VPC Flow Logs or turning off S3 data event logging will not reduce your GuardDuty bill.'", + "reasoning": "The output directly and unambiguously states the claim asserted.", + "confidence": "high" + }, + { + "text": "The response explains GuardDuty reads from independent internal sources and the cost lever is the GuardDuty protection-plan configuration", + "evaluator": "llm", + "passed": true, + "evidence": "The response states: 'GuardDuty doesn't bill based on your own log configuration. It ingests VPC Flow Log and S3 data event activity from independent internal AWS sources, not from log delivery you've configured... The only real cost lever is the GuardDuty protection-plan configuration itself \u2014 i.e., which protection plans (VPC Flow Log analysis, S3 Protection, Runtime Monitoring, Malware Protection, etc.) are enabled on the detector, since GuardDuty charges per protection plan based on the volume it analyzes.'", + "reasoning": "The output explicitly explains both required elements: that GuardDuty reads from independent internal AWS sources, and that the actual cost lever is the protection-plan configuration.", + "confidence": "high" + } + ], + "summary": { + "passed": 2, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 2, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "8s", + "cost": "$0.07", + "context_window": { + "utilization": "4.4%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-log-config-quirk/with_skill/outputs/journal_records.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-log-config-quirk/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..efc89f3f --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-log-config-quirk/with_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "cbc7175f-4b9a-4168-b866-a8c8dec72e45", + "executionId": "bfab5e09-f24c-40b6-8594-782b47baf4b6", + "recordId": "8cc2d956-d359-4b59-9234-d8a42ecb958b", + "content": "{\"id\": \"8cc2d956-d359-4b59-9234-d8a42ecb958b\", \"role\": \"user\", \"content\": [{\"text\": \"Will disabling my own VPC Flow Logs or turning off my S3 data event logging reduce my Amazon GuardDuty bill? According to the GuardDuty cost optimization skill, what is the correct answer and why? No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:04.441000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "cbc7175f-4b9a-4168-b866-a8c8dec72e45", + "executionId": "bfab5e09-f24c-40b6-8594-782b47baf4b6", + "recordId": "6ffcdec6-2a36-4c6d-bee7-de57a94ed8c8", + "content": "{\"id\": \"0a3ede03-ca25-4139-b9e4-b25ea490f010\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"GuardDuty billing impact VPC Flow Logs S3 logging\"}]}", + "createdAt": "2026-09-29T09:16:05.019000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "cbc7175f-4b9a-4168-b866-a8c8dec72e45", + "executionId": "bfab5e09-f24c-40b6-8594-782b47baf4b6", + "recordId": "d98a392a-c216-4818-bd10-b902d09215ab", + "content": "{\"id\": \"d98a392a-c216-4818-bd10-b902d09215ab\", \"role\": \"assistant\", \"content\": [{\"id\": \"tooluse_iixnbHJwxk6Gu4nBLDPxgC\", \"tool_name\": \"skill_read\", \"input\": {\"skill_id\": \"guardduty-cost-optimization\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:09.958000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "cbc7175f-4b9a-4168-b866-a8c8dec72e45", + "executionId": "bfab5e09-f24c-40b6-8594-782b47baf4b6", + "recordId": "39973c0a-624d-4942-9659-207dc07a0ca0", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.7, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:10.048000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "cbc7175f-4b9a-4168-b866-a8c8dec72e45", + "executionId": "bfab5e09-f24c-40b6-8594-782b47baf4b6", + "recordId": "5d25a833-2d0e-4542-bedc-92458505329c", + "content": "{\"id\": \"91552a63-c6dd-412e-9884-91b7ab1f6248\", \"role\": \"assistant\", \"block_type\": \"load_skill\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_iixnbHJwxk6Gu4nBLDPxgC\", \"status\": \"success\", \"content\": [{\"text\": \"Done\"}]}], \"label\": \"Reading GuardDuty cost optimization skill for guidance on flow logs and S3 data events\"}", + "createdAt": "2026-09-29T09:16:10.149000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "cbc7175f-4b9a-4168-b866-a8c8dec72e45", + "executionId": "bfab5e09-f24c-40b6-8594-782b47baf4b6", + "recordId": "19304ea3-c742-45ad-a0b3-e3ed391dab4f", + "content": "{\"id\": \"19304ea3-c742-45ad-a0b3-e3ed391dab4f\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_iixnbHJwxk6Gu4nBLDPxgC\", \"content\": \"[{'text': '{\\\"content\\\": \\\"---\\\\\\\\nname: guardduty-cost-optimization\\\\\\\\ndescription: Identify and quantify Amazon GuardDuty cost optimization opportunities.\\\\\\\\n Use this skill when a user asks to reduce, review, audit, or optimize GuardDuty\\\\\\\\n spend, or reports an unexpected GuardDuty cost increase or an expensive protection\\\\\\\\n plan. Activate on requests like \\\\\\\\\\\"why is my GuardDuty bill so high\\\\\\\\\\\", \\\\\\\\\\\"reduce\\\\\\\\n GuardDuty costs\\\\\\\\\\\", \\\\\\\\\\\"GuardDuty cost review\\\\\\\\\\\", \\\\\\\\\\\"which GuardDuty protection plan costs\\\\\\\\n the most\\\\\\\\\\\", \\\\\\\\\\\"is GuardDuty S3 Protection worth it\\\\\\\\\\\", or \\\\\\\\\\\"project my GuardDuty spend\\\\\\\\n after the free trial\\\\\\\\\\\". This skill analyzes enabled protection plans and their\\\\\\\\n per-data-source usage from the AWS/GuardDuty CloudWatch usage metrics through\\\\\\\\n read-only APIs to surface high-cost/low-signal protection plans, VPC-Flow-Log\\\\\\\\n charges offset by Runtime Monitoring, expensive S3/data-event analysis,\\\\\\\\n free-trial cost projection, and duplicate multi-account coverage, producing a\\\\\\\\n severity-ranked report of savings.\\\\\\\\nmetadata:\\\\\\\\n author: holmalla\\\\\\\\n version: \\\\\\\\\\\"1.1.0\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.agent-types: \\\\\\\\\\\"Chat tasks, Evaluation\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.aws-services: \\\\\\\\\\\"Amazon GuardDuty\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.technical-domains: \\\\\\\\\\\"Security, Cost Optimization\\\\\\\\\\\"\\\\\\\\n---\\\\\\\\n\\\\\\\\n# Amazon GuardDuty Cost Optimization\\\\\\\\n\\\\\\\\nIdentify, quantify, and prioritize Amazon GuardDuty cost optimization opportunities\\\\\\\\naligned with [Monitoring GuardDuty usage and estimating costs](https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html)\\\\\\\\nand [GuardDuty pricing](https://aws.amazon.com/guardduty/pricing/).\\\\\\\\n\\\\\\\\nThis skill uses **read-only GuardDuty, CloudWatch, and Organizations APIs only**. It\\\\\\\\nnever enables, disables, or reconfigures a detector or protection plan \\\\\\\\u2014 all\\\\\\\\nremediation is delivered as recommendations for a human to review and apply. It reads\\\\\\\\nusage metrics and findings statistics only; it does not read finding detail content.\\\\\\\\n\\\\\\\\n## When to Use\\\\\\\\n\\\\\\\\nActivate this skill when the user asks to:\\\\\\\\n- Reduce or optimize Amazon GuardDuty costs\\\\\\\\n- Investigate an unexpected GuardDuty cost increase\\\\\\\\n- Understand which protection plan or data source drives GuardDuty spend\\\\\\\\n- Decide whether a protection plan (S3 Protection, Runtime Monitoring, etc.) is worth its cost\\\\\\\\n- Project GuardDuty spend after the 30-day free trial\\\\\\\\n- Perform a GuardDuty cost review or FinOps assessment\\\\\\\\n\\\\\\\\n## How GuardDuty Billing Works\\\\\\\\n\\\\\\\\nThe pricing model is the foundation of every finding below. The essentials:\\\\\\\\n\\\\\\\\n- GuardDuty is pay-as-you-go, **per protection plan**, priced on the volume of data\\\\\\\\n each plan analyzes. There is no per-detector fee \\\\\\\\u2014 cost is driven entirely by\\\\\\\\n analyzed volume, and each plan meters on its own unit (counts, bytes, or vCPU/ACU\\\\\\\\n hours).\\\\\\\\n- **Runtime Monitoring offsets VPC Flow Log charges** \\\\\\\\u2014 for instances the Runtime\\\\\\\\n Monitoring agent covers, GuardDuty stops charging for VPC Flow Log processing. The\\\\\\\\n two line items trade against each other; size the net effect.\\\\\\\\n- **Your own log configuration does not reduce GuardDuty cost** \\\\\\\\u2014 GuardDuty ingests\\\\\\\\n from independent internal sources. The only cost lever is the GuardDuty\\\\\\\\n **protection-plan** configuration itself.\\\\\\\\n\\\\\\\\nFor the full per-plan metric/unit/pricing table, the two critical billing behaviors,\\\\\\\\nand byte-to-GB/TB conversions, load\\\\\\\\n[references/billing-model.md](references/billing-model.md) when identifying which plan\\\\\\\\ndrives a charge or reasoning about the Runtime Monitoring offset.\\\\\\\\n\\\\\\\\n## Workflow\\\\\\\\n\\\\\\\\nWork through these steps in order \\\\\\\\u2014 each depends on the output of the one before it.\\\\\\\\n\\\\\\\\n- [ ] **Step 1: Identify target scope.** Ask the user which accounts and Regions to\\\\\\\\n review, and whether this is a standalone account, a GuardDuty\\\\\\\\n delegated-administrator account, or a member account. Accept specific account IDs\\\\\\\\n and Regions, \\\\\\\\\\\"all regions\\\\\\\\\\\", or \\\\\\\\\\\"organization\\\\\\\\\\\". If no scope is given, default to the\\\\\\\\n current account across all Regions with a 30-day analysis window. Delegated-admin\\\\\\\\n accounts additionally receive **aggregated** organization usage metrics \\\\\\\\u2014 use them\\\\\\\\n for org-wide sizing.\\\\\\\\n\\\\\\\\n- [ ] **Step 2: Inventory detectors and protection plans.** Enumerate detectors,\\\\\\\\n enabled protection plans/features, Runtime Monitoring agent coverage, and (on a\\\\\\\\n delegated admin) member-account coverage, using read-only APIs. Also pull finding\\\\\\\\n statistics as the value signal. For the exact API calls and what each returns, load\\\\\\\\n [references/data-collection.md](references/data-collection.md).\\\\\\\\n\\\\\\\\n- [ ] **Step 3: Collect per-plan usage metrics.** Pull the `AWS/GuardDuty` usage\\\\\\\\n metrics via `cloudwatch.GetMetricData` broken down by the `DataSource` dimension\\\\\\\\n over the window (plus `AWS/GuardDuty/MalwareProtection` for S3 malware scans), and\\\\\\\\n prefer Cost Explorer as the dollar signal, reconciled against the usage metrics. The\\\\\\\\n exact metrics, dimensions, lag caveats, and unit conversions are in\\\\\\\\n [references/data-collection.md](references/data-collection.md). If neither Cost\\\\\\\\n Explorer nor usage metrics are available, still report configuration findings and\\\\\\\\n label dollar impact as \\\\\\\\\\\"not quantified \\\\\\\\u2014 enable Cost Explorer for sizing\\\\\\\\\\\".\\\\\\\\n\\\\\\\\n- [ ] **Step 4: Analyze cost optimization opportunities.** Rank each enabled\\\\\\\\n protection plan by its share of total GuardDuty spend, then evaluate the seven\\\\\\\\n opportunity checks (\\\\\\\\u00a74.1 high-cost/low-signal plans, \\\\\\\\u00a74.2 Runtime Monitoring \\\\\\\\u2194 VPC\\\\\\\\n Flow Log offset, \\\\\\\\u00a74.3 S3 Protection cost vs value, \\\\\\\\u00a74.4 Malware Protection for S3\\\\\\\\n scan volume, \\\\\\\\u00a74.5 free-trial cost projection, \\\\\\\\u00a74.6 duplicate/inconsistent\\\\\\\\n multi-account coverage, \\\\\\\\u00a74.7 Security Hub consolidated pricing). Load\\\\\\\\n [references/opportunities.md](references/opportunities.md) for the full check\\\\\\\\n definitions and severity guidance. **Frame every recommendation against security\\\\\\\\n value** \\\\\\\\u2014 never recommend disabling a plan purely on cost. Assign each finding a\\\\\\\\n severity (CRITICAL, HIGH, MEDIUM, LOW, INFO) and, where a usage/cost signal exists,\\\\\\\\n an estimated monthly saving.\\\\\\\\n\\\\\\\\n- [ ] **Step 5: Validate findings.** Before writing the report, self-check the\\\\\\\\n findings: confirm estimated savings sum correctly and each traces to a cited metric\\\\\\\\n or cost signal; confirm byte-to-GB/TB conversions are correct; confirm every plan\\\\\\\\n reduction is framed as a cost-vs-risk tradeoff citing that plan\\\\'s finding activity\\\\\\\\n (never a cost-only \\\\\\\\\\\"disable\\\\\\\\\\\"); confirm no VPC Flow Log saving ignores the Runtime\\\\\\\\n Monitoring offset; and confirm no mutation API was called. Drop or re-label any\\\\\\\\n finding that fails these checks.\\\\\\\\n\\\\\\\\n- [ ] **Step 6: Generate report.** Produce a shareable Markdown report artifact\\\\\\\\n following the structure, section order, and table schemas in\\\\\\\\n [assets/report-template.md](assets/report-template.md). Load that template when\\\\\\\\n generating the report.\\\\\\\\n\\\\\\\\n## Severity Definitions\\\\\\\\n\\\\\\\\n| Severity | Definition | SLA |\\\\\\\\n|----------|------------|-----|\\\\\\\\n| CRITICAL | Runaway cost causing large ongoing overspend | Fix within 24\\\\\\\\u201348 hours |\\\\\\\\n| HIGH | Clear, sizable recurring saving, or a time-boxed free-trial decision | Fix within 1 week |\\\\\\\\n| MEDIUM | Notable saving with a value tradeoff to weigh | Plan within 30 days |\\\\\\\\n| LOW | Minor saving or hygiene | Address when convenient |\\\\\\\\n| INFO | Observation, no action required | N/A |\\\\\\\\n\\\\\\\\n## Safety and Boundaries\\\\\\\\n\\\\\\\\n- **Read-only.** The skill calls only `List*`, `Get*`, `Describe*` APIs and CloudWatch\\\\\\\\n reads. It never calls `CreateDetector`, `UpdateDetector`, `DeleteDetector`,\\\\\\\\n `DisableOrganizationAdminAccount`, or any protection-plan mutation.\\\\\\\\n- **Security value first.** GuardDuty is a security control. Never recommend disabling\\\\\\\\n a protection plan purely on cost \\\\\\\\u2014 always frame it as a cost-vs-risk tradeoff, cite\\\\\\\\n the finding activity for that plan, and defer the decision to the user\\\\'s security\\\\\\\\n posture. Removing coverage can create undetected exposure.\\\\\\\\n- **Proposed changes are suggestions.** Every recommendation is for a human to review\\\\\\\\n and apply.\\\\\\\\n\\\\\\\\n## Known Quirks\\\\\\\\n\\\\\\\\n- **Your own log configuration does not change GuardDuty cost** \\\\\\\\u2014 do not recommend\\\\\\\\n turning off customer VPC Flow Logs, CloudTrail, or S3 data events to reduce\\\\\\\\n GuardDuty spend; GuardDuty reads independent internal sources. The lever is the\\\\\\\\n GuardDuty protection-plan config.\\\\\\\\n- **Runtime Monitoring and VPC Flow Log charges trade against each other** \\\\\\\\u2014 size the\\\\\\\\n net effect, not either line item alone. If the agent stops transmitting, VPC Flow\\\\\\\\n Log charges silently resume.\\\\\\\\n- Usage metrics lag up to ~24 hours and are hourly \\\\\\\\u2014 use a multi-day window, not a\\\\\\\\n single hour, for sizing.\\\\\\\\n- Byte-unit metrics must be converted to GB/TB to match pricing tiers.\\\\\\\\n- The 30-day free trial is **per account, per plan**, and its status is independent of\\\\\\\\n Security Hub integration \\\\\\\\u2014 enabling Security Hub does not grant, extend, or restart a\\\\\\\\n trial.\\\\\\\\n- Malware Protection for S3 lives in a **separate** CloudWatch namespace\\\\\\\\n (`AWS/GuardDuty/MalwareProtection`) from the other plans (`AWS/GuardDuty`).\\\\\\\\n\\\", \\\"resource_manifest\\\": [\\\"SKILL.md\\\", \\\"references/opportunities.md\\\", \\\"references/data-collection.md\\\", \\\"references/billing-model.md\\\", \\\"assets/report-template.md\\\"]}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:18.080000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "cbc7175f-4b9a-4168-b866-a8c8dec72e45", + "executionId": "bfab5e09-f24c-40b6-8594-782b47baf4b6", + "recordId": "47f7a51b-fd37-481a-b798-99870f58b9f9", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 4.4, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:18.170000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "cbc7175f-4b9a-4168-b866-a8c8dec72e45", + "executionId": "bfab5e09-f24c-40b6-8594-782b47baf4b6", + "recordId": "c8b71335-60a5-467e-b512-0f67e31407fe", + "content": "{\"id\": \"c8b71335-60a5-467e-b512-0f67e31407fe\", \"role\": \"assistant\", \"content\": [{\"text\": \"No \\u2014 disabling your own VPC Flow Logs or turning off S3 data event logging will **not** reduce your GuardDuty bill.\\n\\n**Why:** GuardDuty doesn't bill based on your own log configuration. It ingests VPC Flow Log and S3 data event activity from independent internal AWS sources, not from log delivery you've configured (e.g., a Flow Logs subscription to CloudWatch/S3, or S3 Server Access/data event logging in CloudTrail). Turning those off only stops *your* copy of the logs \\u2014 GuardDuty keeps analyzing the same underlying traffic and S3 activity internally and bills for it the same way.\\n\\nThe only real cost lever is the **GuardDuty protection-plan configuration itself** \\u2014 i.e., which protection plans (VPC Flow Log analysis, S3 Protection, Runtime Monitoring, Malware Protection, etc.) are enabled on the detector, since GuardDuty charges per protection plan based on the volume it analyzes.\\n\\nOne related nuance worth knowing: enabling **Runtime Monitoring** on EC2/ECS/EKS workloads actually *offsets* VPC Flow Log charges for the instances it covers \\u2014 GuardDuty stops charging for Flow Log processing on those instances once the Runtime Monitoring agent is active. So the real savings lever there is agent coverage, not your own Flow Logs setting.\\n\\nIf you want, I can run a full GuardDuty cost review against your account to see which protection plans are actually driving your spend.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:18.243000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "cbc7175f-4b9a-4168-b866-a8c8dec72e45", + "executionId": "bfab5e09-f24c-40b6-8594-782b47baf4b6", + "recordId": "a7d26ae3-d901-4076-b3de-106295d22f78", + "content": "{\"id\": \"3a9ed349-eff2-4745-accb-361af0673084\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"No \\u2014 disabling your own VPC Flow Logs or turning off S3 data event logging will **not** reduce your GuardDuty bill.\\n\\n**Why:** GuardDuty doesn't bill based on your own log configuration. It ingests VPC Flow Log and S3 data event activity from independent internal AWS sources, not from log delivery you've configured (e.g., a Flow Logs subscription to CloudWatch/S3, or S3 Server Access/data event logging in CloudTrail). Turning those off only stops *your* copy of the logs \\u2014 GuardDuty keeps analyzing the same underlying traffic and S3 activity internally and bills for it the same way.\\n\\nThe only real cost lever is the **GuardDuty protection-plan configuration itself** \\u2014 i.e., which protection plans (VPC Flow Log analysis, S3 Protection, Runtime Monitoring, Malware Protection, etc.) are enabled on the detector, since GuardDuty charges per protection plan based on the volume it analyzes.\\n\\nOne related nuance worth knowing: enabling **Runtime Monitoring** on EC2/ECS/EKS workloads actually *offsets* VPC Flow Log charges for the instances it covers \\u2014 GuardDuty stops charging for Flow Log processing on those instances once the Runtime Monitoring agent is active. So the real savings lever there is agent coverage, not your own Flow Logs setting.\\n\\nIf you want, I can run a full GuardDuty cost review against your account to see which protection plans are actually driving your spend.\"}]}", + "createdAt": "2026-09-29T09:16:18.312000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-log-config-quirk/without_skill/functional-tests-results.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-log-config-quirk/without_skill/functional-tests-results.json new file mode 100644 index 00000000..a9402963 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-log-config-quirk/without_skill/functional-tests-results.json @@ -0,0 +1,54 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "guardduty-cost-log-config-quirk", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "passed", + "reasoning": "The agent clearly states that disabling customer-side VPC Flow Logs or S3 data event logging does NOT reduce GuardDuty cost, explains that GuardDuty ingests from its own independent data stream regardless of customer log configuration, cites supporting documentation, and correctly identifies that the real cost levers are GuardDuty's own protection plan/feature configuration and monitored resource scope. This matches the expected output criteria closely, including the nuance about the Runtime Monitoring exception which doesn't contradict the core answer.", + "evidence": "\"No \u2014 disabling those won't reduce your GuardDuty bill... GuardDuty pulls VPC Flow Logs, DNS logs, CloudTrail events, S3 data events... through its own independent, duplicate data stream \u2014 it doesn't read your account's own log configuration at all... the real levers are things like disabling specific protection plans/features you don't need, or reducing the volume of resources GuardDuty monitors \u2014 not your own logging configuration.\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response states that disabling the customer's own VPC Flow Logs or S3 data event logging does not reduce the GuardDuty bill", + "evaluator": "llm", + "passed": true, + "evidence": "\"No \u2014 disabling those won't reduce your GuardDuty bill (with one narrow exception).\" and \"Turning off your own VPC Flow Logs \u2192 GuardDuty still ingests flow data independently, still bills for it.\" / \"Turning off S3 data event logging (e.g., in CloudTrail) \u2192 same story, no effect on GuardDuty's ingestion or cost.\"", + "reasoning": "The response explicitly states disabling own VPC Flow Logs or S3 data event logging won't reduce the GuardDuty bill.", + "confidence": "high" + }, + { + "text": "The response explains GuardDuty reads from independent internal sources and the cost lever is the GuardDuty protection-plan configuration", + "evaluator": "llm", + "passed": true, + "evidence": "\"GuardDuty pulls VPC Flow Logs, DNS logs, CloudTrail events, S3 data events, Kubernetes audit logs, and Lambda network logs through its own independent, duplicate data stream \u2014 it doesn't read your account's own log configuration at all.\" and \"the real levers are things like disabling specific protection plans/features you don't need, or reducing the volume of resources GuardDuty monitors\"", + "reasoning": "The response explains GuardDuty uses its own independent data stream separate from the account's log configuration, and points to protection plan/feature configuration as the actual cost lever.", + "confidence": "high" + } + ], + "summary": { + "passed": 2, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 2, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "9s", + "cost": "$0.08", + "context_window": { + "utilization": "4.0%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-log-config-quirk/without_skill/outputs/journal_records.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-log-config-quirk/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..01e84c3c --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-log-config-quirk/without_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "f973cecf-db45-4338-ba0f-c6a9ed39d444", + "executionId": "160ff6bb-214c-4f69-b981-d4cf5464f762", + "recordId": "6d53d18b-ee82-48af-9cff-2ad6b22689c0", + "content": "{\"id\": \"6d53d18b-ee82-48af-9cff-2ad6b22689c0\", \"role\": \"user\", \"content\": [{\"text\": \"Will disabling my own VPC Flow Logs or turning off my S3 data event logging reduce my Amazon GuardDuty bill? According to the GuardDuty cost optimization skill, what is the correct answer and why? No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:01.182000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "f973cecf-db45-4338-ba0f-c6a9ed39d444", + "executionId": "160ff6bb-214c-4f69-b981-d4cf5464f762", + "recordId": "35554aeb-5122-4eba-a56e-fac54546c709", + "content": "{\"id\": \"64ec068c-499a-4a20-a990-a25f874e02b0\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"GuardDuty billing impact of disabling VPC Flow Logs\"}]}", + "createdAt": "2026-09-29T09:16:01.951000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "f973cecf-db45-4338-ba0f-c6a9ed39d444", + "executionId": "160ff6bb-214c-4f69-b981-d4cf5464f762", + "recordId": "b42284ca-fcef-4626-a0e2-e3cd6878d379", + "content": "{\"id\": \"b42284ca-fcef-4626-a0e2-e3cd6878d379\", \"role\": \"assistant\", \"content\": [{\"text\": \"I don't have a \\\"GuardDuty cost optimization skill\\\" available in my current skill set, so I can't quote from one directly. But I can verify this against AWS documentation to give you an accurate answer.\", \"type\": \"text\"}, {\"id\": \"tooluse_EDz4x3q5pzUcb4i2f9eEpx\", \"tool_name\": \"verify_aws_claim\", \"input\": {\"claim\": \"Does disabling VPC Flow Logs or S3 data event logging in a customer's own account reduce Amazon GuardDuty pricing/billing?\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:08.125000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "f973cecf-db45-4338-ba0f-c6a9ed39d444", + "executionId": "160ff6bb-214c-4f69-b981-d4cf5464f762", + "recordId": "ec2f107b-73ac-4f97-ba22-9f07f1027515", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:08.208000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "f973cecf-db45-4338-ba0f-c6a9ed39d444", + "executionId": "160ff6bb-214c-4f69-b981-d4cf5464f762", + "recordId": "141d3f1d-2c5f-4b95-a755-f059870cdbaf", + "content": "{\"id\": \"f940bd3b-e260-4479-aa25-78ddddcfe10b\", \"role\": \"assistant\", \"block_type\": \"tool_summary\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_EDz4x3q5pzUcb4i2f9eEpx\", \"status\": \"success\", \"content\": [{\"text\": \"{\\\"content\\\":{\\\"result\\\":[{\\\"rank_order\\\":1,\\\"title\\\":\\\"Monitoring GuardDuty Usage and Estimating Costs\\\",\\\"context\\\":\\\"## Understanding GuardDuty Usage\\\\n\\\\n### GuardDuty Event Processing\\\\n\\\\nWhen enabled, GuardDuty automatically consumes events and logs directly from the log sources in your selected AWS Region. GuardDuty ingests events from separate, independent data sources to provide comprehensive security value.\\\\n\\\\n**Important:**\\\\n\\\\nYour individual service log configuration or filtering rules (for VPC Flow Logs, DNS Logs, CloudTrail Events, S3 Data Events, Kubernetes Audit Logs, and Lambda Network Logs) do not impact the logs/events processed by GuardDuty.\\\\n\\\\n### GuardDuty VPC Flow Logs processing charges for instances monitored by GuardDuty Runtime Monitoring\\\\n\\\\nFor instances monitored by GuardDuty Runtime Monitoring (via either EC2 Runtime agent or Amazon EKS Runtime agent), GuardDuty will not charge for VPC Flow Logs processing as long as the agent actively sends runtime event data. If the agent stops transmitting event data, GuardDuty reverts to charging via VPC Flow Logs.\\\\n\\\\nEnabling Runtime Monitoring decreases VPC Flow Logs usage in GuardDuty Amazon CloudWatch usage metrics. Disabling Runtime Monitoring restores VPC Flow Logs usage\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html\\\"},{\\\"rank_order\\\":2,\\\"title\\\":\\\"GuardDuty foundational data sources\\\",\\\"context\\\":\\\"## VPC Flow Logs\\\\n\\\\nThe VPC Flow Logs feature of Amazon VPC captures information about the IP traffic going to\\\\nand from network interfaces attached to the Amazon Elastic Compute Cloud (Amazon EC2) instances within your\\\\nAWS environment.\\\\n\\\\nWhen you enable GuardDuty, it immediately starts analyzing VPC flow log data from Amazon EC2\\\\ninstances within your account. GuardDuty consumes this data through an independent and\\\\nduplicate stream of flow logs. You don't need to create or configure VPC flow logs\\\\nin your account for GuardDuty to access this data. This process does not affect any of\\\\nyour existing flow logs configuration.\\\\n\\\\nLambda Protection\\\\n: Lambda Protection is an optional enhancement to Amazon GuardDuty. Presently,\\\\n Lambda Network Activity Monitoring includes Amazon VPC flow logs from all Lambda functions for your\\\\n account, even those logs that don't use VPC networking. To protect your\\\\n Lambda function from potential security threats, you will need to configure\\\\n Lambda Protection in your GuardDuty account. For more information, see Lambda Protection.\\\\n\\\\nGuardDuty Runtime Monitoring\\\\n: When you manage the security agent (either manually or through GuardDuty) in EKS Runtime Monitoring\\\\n or Runtime Monitoring for EC2 instances, and\\\\n GuardDuty is presently deployed on an Amazon EC2 instance and receives\\\\n the Collected runtime event\\\\n types from this instance, GuardDuty will not charge\\\\n your AWS account for the analysis of VPC flow logs from this Amazon EC2 instance. This helps GuardDuty avoid double usage cost in the account.\\\\n\\\\nGuardDuty doesn't manage your flow logs or make them accessible in your account. To manage\\\\naccess to and retention of your flow logs, you must configure the VPC Flow Logs feature\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/guardduty/latest/ug/guardduty_data-sources.html\\\"},{\\\"rank_order\\\":3,\\\"title\\\":\\\"What are the ####-VendedLog-Bytes charges on my AWS bill?\\\",\\\"context\\\":\\\"### Reduce future costs\\\\n\\\\nVended log charges are based on the volume of logs that you send to Amazon CloudWatch Logs, S3, or Firehose. To reduce future costs, reduce the quantity of logs.\\\\n\\\\nIf you use [VPC Flow Logs](https://docs.aws.amazon.com/vpc/latest/userguide/working-with-flow-logs.html), then limit your flow logs to specific elastic network interfaces, subnets, or traffic types such as **REJECT** and **ACCEPT** traffic to reduce log volume. If you don't require the VPC Flow Logs continuously, then turn off the feature and only turn the feature on when you troubleshoot issues.\\\\n\\\\nFor more information, see [Analyzing, optimizing, and reducing CloudWatch costs](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_billing.html)\\\",\\\"url\\\":\\\"https://repost.aws/knowledge-center/cloudwatch-vended-log-billed-charges\\\"}]}}\"}]}], \"label\": \"Verify how GuardDuty billing relates to VPC Flow Logs and S3 data events.\"}", + "createdAt": "2026-09-29T09:16:09.769000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "f973cecf-db45-4338-ba0f-c6a9ed39d444", + "executionId": "160ff6bb-214c-4f69-b981-d4cf5464f762", + "recordId": "94e555d4-55fc-484f-8247-80f05ae3435d", + "content": "{\"id\": \"94e555d4-55fc-484f-8247-80f05ae3435d\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_EDz4x3q5pzUcb4i2f9eEpx\", \"content\": \"[{'text': '{\\\"content\\\":{\\\"result\\\":[{\\\"rank_order\\\":1,\\\"title\\\":\\\"Monitoring GuardDuty Usage and Estimating Costs\\\",\\\"context\\\":\\\"## Understanding GuardDuty Usage\\\\\\\\n\\\\\\\\n### GuardDuty Event Processing\\\\\\\\n\\\\\\\\nWhen enabled, GuardDuty automatically consumes events and logs directly from the log sources in your selected AWS Region. GuardDuty ingests events from separate, independent data sources to provide comprehensive security value.\\\\\\\\n\\\\\\\\n**Important:**\\\\\\\\n\\\\\\\\nYour individual service log configuration or filtering rules (for VPC Flow Logs, DNS Logs, CloudTrail Events, S3 Data Events, Kubernetes Audit Logs, and Lambda Network Logs) do not impact the logs/events processed by GuardDuty.\\\\\\\\n\\\\\\\\n### GuardDuty VPC Flow Logs processing charges for instances monitored by GuardDuty Runtime Monitoring\\\\\\\\n\\\\\\\\nFor instances monitored by GuardDuty Runtime Monitoring (via either EC2 Runtime agent or Amazon EKS Runtime agent), GuardDuty will not charge for VPC Flow Logs processing as long as the agent actively sends runtime event data. If the agent stops transmitting event data, GuardDuty reverts to charging via VPC Flow Logs.\\\\\\\\n\\\\\\\\nEnabling Runtime Monitoring decreases VPC Flow Logs usage in GuardDuty Amazon CloudWatch usage metrics. Disabling Runtime Monitoring restores VPC Flow Logs usage\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html\\\"},{\\\"rank_order\\\":2,\\\"title\\\":\\\"GuardDuty foundational data sources\\\",\\\"context\\\":\\\"## VPC Flow Logs\\\\\\\\n\\\\\\\\nThe VPC Flow Logs feature of Amazon VPC captures information about the IP traffic going to\\\\\\\\nand from network interfaces attached to the Amazon Elastic Compute Cloud (Amazon EC2) instances within your\\\\\\\\nAWS environment.\\\\\\\\n\\\\\\\\nWhen you enable GuardDuty, it immediately starts analyzing VPC flow log data from Amazon EC2\\\\\\\\ninstances within your account. GuardDuty consumes this data through an independent and\\\\\\\\nduplicate stream of flow logs. You don\\\\'t need to create or configure VPC flow logs\\\\\\\\nin your account for GuardDuty to access this data. This process does not affect any of\\\\\\\\nyour existing flow logs configuration.\\\\\\\\n\\\\\\\\nLambda Protection\\\\\\\\n: Lambda Protection is an optional enhancement to Amazon GuardDuty. Presently,\\\\\\\\n Lambda Network Activity Monitoring includes Amazon VPC flow logs from all Lambda functions for your\\\\\\\\n account, even those logs that don\\\\'t use VPC networking. To protect your\\\\\\\\n Lambda function from potential security threats, you will need to configure\\\\\\\\n Lambda Protection in your GuardDuty account. For more information, see Lambda Protection.\\\\\\\\n\\\\\\\\nGuardDuty Runtime Monitoring\\\\\\\\n: When you manage the security agent (either manually or through GuardDuty) in EKS Runtime Monitoring\\\\\\\\n or Runtime Monitoring for EC2 instances, and\\\\\\\\n GuardDuty is presently deployed on an Amazon EC2 instance and receives\\\\\\\\n the Collected runtime event\\\\\\\\n types from this instance, GuardDuty will not charge\\\\\\\\n your AWS account for the analysis of VPC flow logs from this Amazon EC2 instance. This helps GuardDuty avoid double usage cost in the account.\\\\\\\\n\\\\\\\\nGuardDuty doesn\\\\'t manage your flow logs or make them accessible in your account. To manage\\\\\\\\naccess to and retention of your flow logs, you must configure the VPC Flow Logs feature\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/guardduty/latest/ug/guardduty_data-sources.html\\\"},{\\\"rank_order\\\":3,\\\"title\\\":\\\"What are the ####-VendedLog-Bytes charges on my AWS bill?\\\",\\\"context\\\":\\\"### Reduce future costs\\\\\\\\n\\\\\\\\nVended log charges are based on the volume of logs that you send to Amazon CloudWatch Logs, S3, or Firehose. To reduce future costs, reduce the quantity of logs.\\\\\\\\n\\\\\\\\nIf you use [VPC Flow Logs](https://docs.aws.amazon.com/vpc/latest/userguide/working-with-flow-logs.html), then limit your flow logs to specific elastic network interfaces, subnets, or traffic types such as **REJECT** and **ACCEPT** traffic to reduce log volume. If you don\\\\'t require the VPC Flow Logs continuously, then turn off the feature and only turn the feature on when you troubleshoot issues.\\\\\\\\n\\\\\\\\nFor more information, see [Analyzing, optimizing, and reducing CloudWatch costs](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_billing.html)\\\",\\\"url\\\":\\\"https://repost.aws/knowledge-center/cloudwatch-vended-log-billed-charges\\\"}]}}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:17.316000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "f973cecf-db45-4338-ba0f-c6a9ed39d444", + "executionId": "160ff6bb-214c-4f69-b981-d4cf5464f762", + "recordId": "91904198-3253-4ac3-92a1-5c864533074d", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 4.0, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:17.390000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "f973cecf-db45-4338-ba0f-c6a9ed39d444", + "executionId": "160ff6bb-214c-4f69-b981-d4cf5464f762", + "recordId": "9efde519-1d73-43bb-aff8-7c6fef2894b1", + "content": "{\"id\": \"9efde519-1d73-43bb-aff8-7c6fef2894b1\", \"role\": \"assistant\", \"content\": [{\"text\": \"No \\u2014 disabling those won't reduce your GuardDuty bill (with one narrow exception).\\n\\n**Why:** GuardDuty pulls VPC Flow Logs, DNS logs, CloudTrail events, S3 data events, Kubernetes audit logs, and Lambda network logs through its own independent, duplicate data stream \\u2014 it doesn't read your account's own log configuration at all. AWS documentation is explicit on this: *\\\"Your individual service log configuration or filtering rules (for VPC Flow Logs, DNS Logs, CloudTrail Events, S3 Data Events, Kubernetes Audit Logs, and Lambda Network Logs) do not impact the logs/events processed by GuardDuty.\\\"*\\n\\nSo:\\n- Turning off your own VPC Flow Logs \\u2192 GuardDuty still ingests flow data independently, still bills for it.\\n- Turning off S3 data event logging (e.g., in CloudTrail) \\u2192 same story, no effect on GuardDuty's ingestion or cost.\\n\\n**The one exception:** if you're using GuardDuty Runtime Monitoring (EC2 or EKS runtime agent) and it's actively sending event data, GuardDuty stops charging for VPC Flow Logs processing on that instance to avoid double-billing you. But that's driven by enabling/disabling Runtime Monitoring \\u2014 not by toggling your own flow logs feature.\\n\\nIf you're trying to actually reduce your GuardDuty bill, the real levers are things like disabling specific protection plans/features you don't need, or reducing the volume of resources GuardDuty monitors \\u2014 not your own logging configuration.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:17.460000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "f973cecf-db45-4338-ba0f-c6a9ed39d444", + "executionId": "160ff6bb-214c-4f69-b981-d4cf5464f762", + "recordId": "6d700636-f6b5-4e91-9bf2-4888201af4ff", + "content": "{\"id\": \"281b8a7e-5687-4629-a126-92ecf88ae8f2\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"No \\u2014 disabling those won't reduce your GuardDuty bill (with one narrow exception).\\n\\n**Why:** GuardDuty pulls VPC Flow Logs, DNS logs, CloudTrail events, S3 data events, Kubernetes audit logs, and Lambda network logs through its own independent, duplicate data stream \\u2014 it doesn't read your account's own log configuration at all. AWS documentation is explicit on this: *\\\"Your individual service log configuration or filtering rules (for VPC Flow Logs, DNS Logs, CloudTrail Events, S3 Data Events, Kubernetes Audit Logs, and Lambda Network Logs) do not impact the logs/events processed by GuardDuty.\\\"*\\n\\nSo:\\n- Turning off your own VPC Flow Logs \\u2192 GuardDuty still ingests flow data independently, still bills for it.\\n- Turning off S3 data event logging (e.g., in CloudTrail) \\u2192 same story, no effect on GuardDuty's ingestion or cost.\\n\\n**The one exception:** if you're using GuardDuty Runtime Monitoring (EC2 or EKS runtime agent) and it's actively sending event data, GuardDuty stops charging for VPC Flow Logs processing on that instance to avoid double-billing you. But that's driven by enabling/disabling Runtime Monitoring \\u2014 not by toggling your own flow logs feature.\\n\\nIf you're trying to actually reduce your GuardDuty bill, the real levers are things like disabling specific protection plans/features you don't need, or reducing the volume of resources GuardDuty monitors \\u2014 not your own logging configuration.\"}]}", + "createdAt": "2026-09-29T09:16:17.547000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-negative-trigger/with_skill/functional-tests-results.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-negative-trigger/with_skill/functional-tests-results.json new file mode 100644 index 00000000..aad54184 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-negative-trigger/with_skill/functional-tests-results.json @@ -0,0 +1,19 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "guardduty-cost-negative-trigger", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "passed", + "message": "Skill 'guardduty-cost-optimization' was correctly NOT triggered", + "skill_loads_found": 0 + }, + "expected_output": null, + "assertions": null + }, + "metrics": null +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-negative-trigger/with_skill/outputs/journal_records.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-negative-trigger/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..67259a31 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-negative-trigger/with_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "e20a1bed-fae5-4b9a-ac17-5cdc477f0cbc", + "executionId": "a63a1e76-8ac3-4a6e-a86e-f357a2561577", + "recordId": "3a369444-b3a1-4577-9972-1750f83172cb", + "content": "{\"id\": \"3a369444-b3a1-4577-9972-1750f83172cb\", \"role\": \"user\", \"content\": [{\"text\": \"Walk me through rotating an IAM access key for one of my users without breaking their running application.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:17:54.313000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "e20a1bed-fae5-4b9a-ac17-5cdc477f0cbc", + "executionId": "a63a1e76-8ac3-4a6e-a86e-f357a2561577", + "recordId": "0dd285b0-7704-4a4d-8aa4-63face45853a", + "content": "{\"id\": \"b4f2daf8-ebc1-4bf8-be32-c64276326041\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"Rotating IAM access key without application downtime\"}]}", + "createdAt": "2026-09-29T09:17:54.931000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "e20a1bed-fae5-4b9a-ac17-5cdc477f0cbc", + "executionId": "a63a1e76-8ac3-4a6e-a86e-f357a2561577", + "recordId": "c832292a-c4e2-4a7f-a095-dd33ea9013b0", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:18:03.933000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "e20a1bed-fae5-4b9a-ac17-5cdc477f0cbc", + "executionId": "a63a1e76-8ac3-4a6e-a86e-f357a2561577", + "recordId": "c85d5e7c-04a9-4ef5-8cd6-825dac475aff", + "content": "{\"id\": \"c85d5e7c-04a9-4ef5-8cd6-825dac475aff\", \"role\": \"assistant\", \"content\": [{\"text\": \"I can walk you through this \\u2014 it's a common operation and the safe approach is to run old and new keys in parallel so nothing breaks. Here's the process:\\n\\n## Step-by-step: Zero-downtime IAM access key rotation\\n\\n**1. Check current key status**\\nLook at the user's existing keys first \\u2014 every IAM user can have at most 2 access keys at a time.\\n\\n**2. Create a second access key**\\nWhile the old key stays active, create a new one. The user now has two active keys simultaneously.\\n\\n**3. Deploy the new key to the application**\\nUpdate the app/service (env vars, secrets manager, config files, etc.) to use the new key. Don't deactivate the old one yet \\u2014 this is what avoids downtime, since the app can fail over or you can verify before cutting over.\\n\\n**4. Verify the new key works**\\nConfirm the application is authenticating successfully with the new key \\u2014 check logs, or look at `LastUsedDate` on the new key via IAM to confirm it's actively being used.\\n\\n**5. Deactivate (don't delete) the old key**\\nSet the old key's status to `Inactive` rather than deleting it immediately. This is a safe, reversible step \\u2014 if something's still using the old key, you'll see auth failures you can quickly undo by reactivating it.\\n\\n**6. Monitor for a bake period**\\nWatch for a while (hours to a few days depending on your risk tolerance) to make sure nothing else was still depending on the old key \\u2014 forgotten scripts, other services, CI/CD, etc.\\n\\n**7. Delete the old key**\\nOnce you're confident nothing uses it, delete it permanently.\\n\\n---\\n\\nWant me to check the current access keys for a specific IAM user in your account so we can start this rotation?\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:18:04.035000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "e20a1bed-fae5-4b9a-ac17-5cdc477f0cbc", + "executionId": "a63a1e76-8ac3-4a6e-a86e-f357a2561577", + "recordId": "6d4fea5d-89a8-4f14-b18f-b8ec5cc67f73", + "content": "{\"id\": \"fc0bbe14-7c56-444b-8323-679c7ca6fb46\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"I can walk you through this \\u2014 it's a common operation and the safe approach is to run old and new keys in parallel so nothing breaks. Here's the process:\\n\\n## Step-by-step: Zero-downtime IAM access key rotation\\n\\n**1. Check current key status**\\nLook at the user's existing keys first \\u2014 every IAM user can have at most 2 access keys at a time.\\n\\n**2. Create a second access key**\\nWhile the old key stays active, create a new one. The user now has two active keys simultaneously.\\n\\n**3. Deploy the new key to the application**\\nUpdate the app/service (env vars, secrets manager, config files, etc.) to use the new key. Don't deactivate the old one yet \\u2014 this is what avoids downtime, since the app can fail over or you can verify before cutting over.\\n\\n**4. Verify the new key works**\\nConfirm the application is authenticating successfully with the new key \\u2014 check logs, or look at `LastUsedDate` on the new key via IAM to confirm it's actively being used.\\n\\n**5. Deactivate (don't delete) the old key**\\nSet the old key's status to `Inactive` rather than deleting it immediately. This is a safe, reversible step \\u2014 if something's still using the old key, you'll see auth failures you can quickly undo by reactivating it.\\n\\n**6. Monitor for a bake period**\\nWatch for a while (hours to a few days depending on your risk tolerance) to make sure nothing else was still depending on the old key \\u2014 forgotten scripts, other services, CI/CD, etc.\\n\\n**7. Delete the old key**\\nOnce you're confident nothing uses it, delete it permanently.\\n\\n---\\n\\nWant me to check the current access keys for a specific IAM user in your account so we can start this rotation?\"}]}", + "createdAt": "2026-09-29T09:18:04.131000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-agent-gap/with_skill/functional-tests-results.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-agent-gap/with_skill/functional-tests-results.json new file mode 100644 index 00000000..af760866 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-agent-gap/with_skill/functional-tests-results.json @@ -0,0 +1,65 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "guardduty-cost-runtime-agent-gap", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "failed", + "message": "Skill 'guardduty-cost-optimization' was NOT triggered (no skills were loaded)", + "skill_loads_found": 0 + }, + "expected_output": { + "result": "failed", + "reasoning": "The expected output requires a specific technical explanation: that when Runtime Monitoring is enabled but the agent isn't transmitting on an instance, GuardDuty does NOT apply the VPC Flow Log processing cost offset for that instance (since that offset only applies when the agent is actively covering/reporting), so the account continues paying full price for VPC Flow Log analysis while also getting no runtime detection value from the non-transmitting agent - a genuine 'worst of both worlds' cost-and-coverage problem specific to GuardDuty's billing mechanics (Runtime Monitoring cost offsetting VPC Flow Logs analysis cost).\n\nThe agent's response does discuss a cost-and-coverage mismatch (paying for coverage but getting no detection value), which is directionally similar in spirit ('worst outcome' framing), but it never mentions VPC Flow Log processing costs, the offset mechanism, or that failing to have the agent transmit means the account loses the offset and pays for both VPC Flow Log analysis AND Runtime Monitoring baseline cost without receiving runtime telemetry benefits. Instead, the agent incorrectly frames the billing model as based on 'coverage' eligibility rather than explaining the specific VPC Flow Log offset mechanic. This is a materially different and more superficial explanation than what's expected - it misses the core technical insight about why this specific scenario is \"worst of both worlds\" (double-charged effectively: paying for VPC Flow Log processing you'd normally get discounted via the runtime agent, plus paying for Runtime Monitoring, while getting no runtime detection).\n\nThe recommended fix portion does partially align - it recommends fixing agent coverage first, and mentions considering disabling monitoring for segments that can't be instrumented as a fallback, which is in the spirit of 'fix coverage or honestly disable' rather than just treating it as a cost-saving optimization. This part is reasonably aligned.\n\nHowever, since the core technical mechanism (VPC Flow Log processing offset) that defines the specific cost-and-coverage problem is never mentioned or explained, the response does not substantively meet the expected criteria's central claim.", + "confidence": "medium" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response identifies that VPC Flow Log charges are still being paid because the agent is not covering those instances (the offset does not apply)", + "evaluator": "llm", + "passed": false, + "evidence": "The only mention of VPC Flow Logs is: 'either accept the reduced-scope cost, or disable Runtime Monitoring for that segment and rely on other GuardDuty foundational/VPC Flow Log-based detections instead.' This does not discuss VPC Flow Log charges being paid as an offset that doesn't apply due to lack of agent coverage.", + "reasoning": "The assertion is about VPC Flow Log charges continuing to be paid because the runtime agent isn't covering instances, implying some kind of billing offset relationship between Runtime Monitoring and VPC Flow Log costs. The response never mentions VPC Flow Log charges being paid as an offset issue - it only mentions VPC Flow Log-based detections as an alternative fallback option in the last sentence.", + "confidence": "medium" + }, + { + "text": "The response identifies that no runtime detection coverage is actually being collected despite the plan being enabled", + "evaluator": "llm", + "passed": true, + "evidence": "The response states: 'you get zero detection value from them since no runtime telemetry is actually flowing' and 'you pay for a protection plan whose actual security signal is only being realized on a fraction of your fleet.'", + "reasoning": "The response explicitly states that despite Runtime Monitoring being enabled, no actual detection value/telemetry is realized on uncovered instances.", + "confidence": "high" + }, + { + "text": "The response recommends fixing the agent coverage (not simply disabling the plan as a cost cut)", + "evaluator": "llm", + "passed": true, + "evidence": "The response states: 'Fix coverage first, then decide on cost \u2014 don't just disable the plan reflexively, since the underlying detection capability is what you're paying for.' It only suggests disabling for specific unfixable segments as a last resort: 'If after remediation a large chunk of the fleet still can't run the agent, that's when to reconsider: either accept the reduced-scope cost, or disable Runtime Monitoring for that segment.'", + "reasoning": "The response explicitly recommends fixing coverage first rather than disabling the plan, and only considers disabling as a last resort for unfixable segments.", + "confidence": "high" + } + ], + "summary": { + "passed": 2, + "failed": 1, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 0.6667 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.7%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-agent-gap/with_skill/outputs/journal_records.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-agent-gap/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..e075c244 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-agent-gap/with_skill/outputs/journal_records.json @@ -0,0 +1,42 @@ +[ + { + "agentSpaceId": "d516a94a-d07b-4b9c-bd65-f4e2e57f59e5", + "executionId": "627eed7c-aa7d-47ce-a546-956157ca9d31", + "recordId": "edc25a7c-ea1b-48b0-aba5-fc09ad6ed7bc", + "content": "{\"id\": \"edc25a7c-ea1b-48b0-aba5-fc09ad6ed7bc\", \"role\": \"user\", \"content\": [{\"text\": \"In my account, GuardDuty Runtime Monitoring is ENABLED but the Runtime Monitoring agent is not actually transmitting on most of my EC2 instances. What is the cost-and-coverage problem here, and what is the recommended fix? No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:17:50.229000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "d516a94a-d07b-4b9c-bd65-f4e2e57f59e5", + "executionId": "627eed7c-aa7d-47ce-a546-956157ca9d31", + "recordId": "0e78f633-0102-4656-a29a-580397301661", + "content": "{\"id\": \"ce2796d8-fc2b-40f0-9c24-13b30debe099\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"GuardDuty Runtime Monitoring agent transmission gaps\"}]}", + "createdAt": "2026-09-29T09:17:51.045000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "d516a94a-d07b-4b9c-bd65-f4e2e57f59e5", + "executionId": "627eed7c-aa7d-47ce-a546-956157ca9d31", + "recordId": "8503e7cb-1a1e-4f02-a501-9dac857e58eb", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.7, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:18:10.318000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "d516a94a-d07b-4b9c-bd65-f4e2e57f59e5", + "executionId": "627eed7c-aa7d-47ce-a546-956157ca9d31", + "recordId": "1354d5da-a128-4f42-8e5a-82b77305ddc3", + "content": "{\"id\": \"1354d5da-a128-4f42-8e5a-82b77305ddc3\", \"role\": \"assistant\", \"content\": [{\"text\": \"This is a classic GuardDuty Runtime Monitoring gotcha, and it's a common source of wasted spend. Let me break down the mechanics.\\n\\n## The problem\\n\\nGuardDuty Runtime Monitoring bills based on **coverage** \\u2014 specifically, whether the account/organization has the feature enabled and how many resources are eligible for coverage \\u2014 not strictly on whether the security agent is actually deployed and reporting telemetry from each instance.\\n\\nSo you can end up in a state where:\\n\\n1. **Runtime Monitoring is enabled** at the account (or organization) level.\\n2. GuardDuty expects the lightweight sensor (the GuardDuty security agent) to be running on each EC2 instance via SSM or the EKS/ECS equivalents.\\n3. If the agent was never installed \\u2014 no SSM Agent, no Auto-Enable via SSM Association, agent install failed, instance is in a subnet without SSM connectivity, unsupported AMI/OS, etc. \\u2014 the instance shows up in GuardDuty's coverage view as **\\\"Unhealthy\\\"** or **\\\"No agent\\\"** rather than \\\"Healthy.\\\"\\n4. You're still being charged for Runtime Monitoring coverage on those instances (or at minimum the feature's baseline account-level cost applies), but you get **zero detection value** from them since no runtime telemetry is actually flowing.\\n\\nThat's the cost-and-coverage mismatch: **you pay for a protection plan whose actual security signal is only being realized on a fraction of your fleet.** It's the worst outcome in cost-optimization terms \\u2014 not a \\\"cheap and low-signal\\\" plan, but a plan that's fully priced with partial-to-no signal on the majority of covered resources.\\n\\n## How to confirm it (once you do have account access)\\n\\n- GuardDuty console/API \\u2192 **Coverage** tab for Runtime Monitoring \\u2192 filter by \\\"Unhealthy\\\"/coverage status per instance.\\n- CloudWatch usage metrics under `AWS/GuardDuty` can show data source usage trends to correlate with instance count.\\n- Check whether **SSM Agent** is installed/running and whether the account has **Auto-Enable** for the GuardDuty agent configured (Fleet Manager / SSM Association `AmazonGuardDuty-manage-agent` or similar) \\u2014 this is the #1 cause of silent non-deployment.\\n\\n## Recommended fix\\n\\n1. **Fix coverage first, then decide on cost** \\u2014 don't just disable the plan reflexively, since the underlying detection capability is what you're paying for.\\n - Ensure SSM Agent is installed and running on all EC2 instances (required for the GuardDuty runtime sensor to auto-deploy).\\n - Verify the account has GuardDuty's automated agent management enabled (Runtime Monitoring auto-deployment via SSM), rather than manual/no deployment.\\n - Confirm instances aren't blocked from reaching SSM endpoints (VPC endpoints or NAT/internet egress for `ssm`, `ssmmessages`, `ec2messages`).\\n - Check AMI/OS support \\u2014 very old or custom AMIs may not support the sensor.\\n2. **Re-check the Coverage tab** until instances move to \\\"Healthy.\\\"\\n3. **For instances you can't or won't instrument** (e.g., legacy/EOL instances, isolated network segments) \\u2014 consider explicitly excluding them from Runtime Monitoring coverage (tag-based exclusion) rather than paying for coverage that will never be healthy.\\n4. **If after remediation a large chunk of the fleet still can't run the agent**, that's when to reconsider: either accept the reduced-scope cost, or disable Runtime Monitoring for that segment and rely on other GuardDuty foundational/VPC Flow Log-based detections instead.\\n\\nIf you'd like, I can dig into the actual coverage numbers and cost breakdown once you point me at the account \\u2014 I have a GuardDuty cost-optimization workflow that pulls the unhealthy-instance list and quantifies the wasted spend precisely.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:18:10.398000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "d516a94a-d07b-4b9c-bd65-f4e2e57f59e5", + "executionId": "627eed7c-aa7d-47ce-a546-956157ca9d31", + "recordId": "9b9ba190-e16b-4dae-addb-d7fc08ea6e01", + "content": "{\"id\": \"d12644da-1f3c-4156-b529-2de086a35aa8\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"This is a classic GuardDuty Runtime Monitoring gotcha, and it's a common source of wasted spend. Let me break down the mechanics.\\n\\n## The problem\\n\\nGuardDuty Runtime Monitoring bills based on **coverage** \\u2014 specifically, whether the account/organization has the feature enabled and how many resources are eligible for coverage \\u2014 not strictly on whether the security agent is actually deployed and reporting telemetry from each instance.\\n\\nSo you can end up in a state where:\\n\\n1. **Runtime Monitoring is enabled** at the account (or organization) level.\\n2. GuardDuty expects the lightweight sensor (the GuardDuty security agent) to be running on each EC2 instance via SSM or the EKS/ECS equivalents.\\n3. If the agent was never installed \\u2014 no SSM Agent, no Auto-Enable via SSM Association, agent install failed, instance is in a subnet without SSM connectivity, unsupported AMI/OS, etc. \\u2014 the instance shows up in GuardDuty's coverage view as **\\\"Unhealthy\\\"** or **\\\"No agent\\\"** rather than \\\"Healthy.\\\"\\n4. You're still being charged for Runtime Monitoring coverage on those instances (or at minimum the feature's baseline account-level cost applies), but you get **zero detection value** from them since no runtime telemetry is actually flowing.\\n\\nThat's the cost-and-coverage mismatch: **you pay for a protection plan whose actual security signal is only being realized on a fraction of your fleet.** It's the worst outcome in cost-optimization terms \\u2014 not a \\\"cheap and low-signal\\\" plan, but a plan that's fully priced with partial-to-no signal on the majority of covered resources.\\n\\n## How to confirm it (once you do have account access)\\n\\n- GuardDuty console/API \\u2192 **Coverage** tab for Runtime Monitoring \\u2192 filter by \\\"Unhealthy\\\"/coverage status per instance.\\n- CloudWatch usage metrics under `AWS/GuardDuty` can show data source usage trends to correlate with instance count.\\n- Check whether **SSM Agent** is installed/running and whether the account has **Auto-Enable** for the GuardDuty agent configured (Fleet Manager / SSM Association `AmazonGuardDuty-manage-agent` or similar) \\u2014 this is the #1 cause of silent non-deployment.\\n\\n## Recommended fix\\n\\n1. **Fix coverage first, then decide on cost** \\u2014 don't just disable the plan reflexively, since the underlying detection capability is what you're paying for.\\n - Ensure SSM Agent is installed and running on all EC2 instances (required for the GuardDuty runtime sensor to auto-deploy).\\n - Verify the account has GuardDuty's automated agent management enabled (Runtime Monitoring auto-deployment via SSM), rather than manual/no deployment.\\n - Confirm instances aren't blocked from reaching SSM endpoints (VPC endpoints or NAT/internet egress for `ssm`, `ssmmessages`, `ec2messages`).\\n - Check AMI/OS support \\u2014 very old or custom AMIs may not support the sensor.\\n2. **Re-check the Coverage tab** until instances move to \\\"Healthy.\\\"\\n3. **For instances you can't or won't instrument** (e.g., legacy/EOL instances, isolated network segments) \\u2014 consider explicitly excluding them from Runtime Monitoring coverage (tag-based exclusion) rather than paying for coverage that will never be healthy.\\n4. **If after remediation a large chunk of the fleet still can't run the agent**, that's when to reconsider: either accept the reduced-scope cost, or disable Runtime Monitoring for that segment and rely on other GuardDuty foundational/VPC Flow Log-based detections instead.\\n\\nIf you'd like, I can dig into the actual coverage numbers and cost breakdown once you point me at the account \\u2014 I have a GuardDuty cost-optimization workflow that pulls the unhealthy-instance list and quantifies the wasted spend precisely.\"}]}", + "createdAt": "2026-09-29T09:18:10.484000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-agent-gap/without_skill/functional-tests-results.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-agent-gap/without_skill/functional-tests-results.json new file mode 100644 index 00000000..8ec7d20b --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-agent-gap/without_skill/functional-tests-results.json @@ -0,0 +1,62 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "guardduty-cost-runtime-agent-gap", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "passed", + "reasoning": "The agent's response correctly identifies the \"worst of both worlds\" scenario: it explicitly states that without the agent transmitting, the flow-log dedupe/offset doesn't apply, so the account pays full price for VPC Flow Log analysis while also paying for Runtime Monitoring capacity, yet receives no runtime detection coverage (\"you're paying for a feature you enabled but not receiving its detection value on those hosts\"). It also recommends the correct fix - actually getting the agent deployed and healthy (via automated agent configuration or manual install) so coverage resumes, rather than just treating it as a cost issue. The only omission is the alternative suggestion of \"honestly disabling the plan if runtime coverage isn't wanted,\" which the agent didn't mention, but the core substance - explaining the dual cost/coverage problem and recommending fixing agent transmission - is present and accurate.", + "evidence": "\"GuardDuty normally stops charging for VPC Flow Log analysis on any instance where Runtime Monitoring is actively receiving events from that instance... If the agent isn't transmitting, that dedupe doesn't kick in \u2014 so on the uncovered instances you can end up paying for Runtime Monitoring analysis capacity at the account level while also still paying full freight for flow-log-based GuardDuty analysis, and getting the weaker (non-runtime) detection coverage instead of the stronger one.\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response identifies that VPC Flow Log charges are still being paid because the agent is not covering those instances (the offset does not apply)", + "evaluator": "llm", + "passed": true, + "evidence": "\"GuardDuty normally stops charging for VPC Flow Log analysis on any instance where Runtime Monitoring is actively receiving events from that instance... If the agent isn't transmitting, that dedupe doesn't kick in \u2014 so on the uncovered instances you can end up paying for Runtime Monitoring analysis capacity at the account level while also still paying full freight for flow-log-based GuardDuty analysis\"", + "reasoning": "The response explicitly states that because the agent isn't transmitting, the flow-log/runtime dedupe doesn't apply, meaning the account continues to pay full VPC Flow Log analysis charges on those instances in addition to Runtime Monitoring costs.", + "confidence": "high" + }, + { + "text": "The response identifies that no runtime detection coverage is actually being collected despite the plan being enabled", + "evaluator": "llm", + "passed": true, + "evidence": "\"Instances without a running/healthy agent generate no runtime findings \u2014 no process execution monitoring, no file/network runtime behavior detection. GuardDuty silently has zero visibility there.\"", + "reasoning": "The response clearly states that despite the feature being enabled at the account level, no actual runtime detection/coverage occurs on instances without a healthy agent.", + "confidence": "high" + }, + { + "text": "The response recommends fixing the agent coverage (not simply disabling the plan as a cost cut)", + "evaluator": "llm", + "passed": true, + "evidence": "\"Recommended fix: 1. Check per-instance agent coverage... 2. Turn on automated agent configuration for EC2... 3. For instances that can't use automated configuration... install the security agent manually... 4. Re-check the coverage tab afterward to confirm status moves to HEALTHY\"", + "reasoning": "The recommended fix focuses entirely on deploying/repairing the agent (via automated configuration, manual install, and verification), not on disabling Runtime Monitoring to cut costs. No suggestion to disable the plan appears anywhere in the response.", + "confidence": "high" + } + ], + "summary": { + "passed": 3, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "15s", + "cost": "$0.13", + "context_window": { + "utilization": "4.0%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-agent-gap/without_skill/outputs/journal_records.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-agent-gap/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..08c2ff54 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-agent-gap/without_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "4a9b2f0f-47f9-405c-a1d9-4fae1367b239", + "executionId": "50af4ca3-f4ea-472b-9f30-69aeddc7d34c", + "recordId": "665dad65-c7b5-4e56-bd14-aee157aa41da", + "content": "{\"id\": \"665dad65-c7b5-4e56-bd14-aee157aa41da\", \"role\": \"user\", \"content\": [{\"text\": \"In my account, GuardDuty Runtime Monitoring is ENABLED but the Runtime Monitoring agent is not actually transmitting on most of my EC2 instances. What is the cost-and-coverage problem here, and what is the recommended fix? No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:17:54.363000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "4a9b2f0f-47f9-405c-a1d9-4fae1367b239", + "executionId": "50af4ca3-f4ea-472b-9f30-69aeddc7d34c", + "recordId": "773a6bbc-afc1-4fc6-95dd-f73c97ec61f8", + "content": "{\"id\": \"c6bcfae7-541b-494b-9c2d-46902d9295f6\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"GuardDuty Runtime Monitoring agent transmission gaps\"}]}", + "createdAt": "2026-09-29T09:17:55.198000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "4a9b2f0f-47f9-405c-a1d9-4fae1367b239", + "executionId": "50af4ca3-f4ea-472b-9f30-69aeddc7d34c", + "recordId": "d9b807db-a14b-4186-95f1-7f8cba9a6ed3", + "content": "{\"id\": \"d9b807db-a14b-4186-95f1-7f8cba9a6ed3\", \"role\": \"assistant\", \"content\": [{\"text\": \"This is a well-known GuardDuty Runtime Monitoring gotcha, so let me verify the specifics before answering.\", \"type\": \"text\"}, {\"id\": \"tooluse_6dgdYfMokKqgM4Mng2Cjbv\", \"tool_name\": \"verify_aws_claim\", \"input\": {\"claim\": \"GuardDuty Runtime Monitoring enabled but agent not installed on EC2 instances - billing and coverage\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:17:58.991000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "4a9b2f0f-47f9-405c-a1d9-4fae1367b239", + "executionId": "50af4ca3-f4ea-472b-9f30-69aeddc7d34c", + "recordId": "7151ef9a-8505-4ea7-b9f7-5e3543c63ffa", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:17:59.074000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "4a9b2f0f-47f9-405c-a1d9-4fae1367b239", + "executionId": "50af4ca3-f4ea-472b-9f30-69aeddc7d34c", + "recordId": "79b94888-a968-46e8-84a2-5b32ccc107da", + "content": "{\"id\": \"a468fc80-ee6c-469a-8a3c-af655bfb5c98\", \"role\": \"assistant\", \"block_type\": \"tool_summary\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_6dgdYfMokKqgM4Mng2Cjbv\", \"status\": \"success\", \"content\": [{\"text\": \"{\\\"content\\\":{\\\"result\\\":[{\\\"rank_order\\\":1,\\\"title\\\":\\\"Intelligent Threat Detection \\u2013 Amazon GuardDuty FAQs \\u2013 Amazon Web Services\\\",\\\"context\\\":\\\"#### Will I incur GuardDuty Runtime Monitoring charges if I don\\u2019t use Amazon EKS, Amazon ECS, or Amazon EC2 and I turn on GuardDuty Runtime Monitoring for one of those workloads?\\\\n\\\\nYou will not incur any GuardDuty Runtime Monitoring charges if you have GuardDuty Runtime Monitoring enabled for a workload that you are not running. However, when you start using Amazon EKS, Amazon ECS, or Amazon EC2 and GuardDuty Runtime Monitoring is enabled for that workload, you will be charged when GuardDuty automatically monitors your clusters, tasks, and instances and generate findings for identified issues\\\",\\\"url\\\":\\\"https://aws.amazon.com/guardduty/faqs\\\"},{\\\"rank_order\\\":2,\\\"title\\\":\\\"How Runtime Monitoring works with Amazon EC2 instances\\\",\\\"context\\\":\\\"# How Runtime Monitoring works with Amazon EC2 instances\\\\n\\\\nYour Amazon EC2 instances can run multiple types of applications and workloads in your AWS\\\\nenvironment. When you enable Runtime Monitoring and manage the GuardDuty security agent, GuardDuty helps you\\\\ndetect threats in your existing Amazon EC2 instances and potentially new ones. This feature also\\\\nsupports Amazon ECS Managed EC2 Instances.\\\\n\\\\n**Note:**\\\\n\\\\nRuntime Monitoring doesn't support applications running on Amazon ECS\\\\nManaged Instances.\\\\n\\\\nEnabling Runtime Monitoring makes GuardDuty ready to consume runtime events from currently running and\\\\nnew processes within Amazon EC2 instances. GuardDuty requires a security agent to send runtime events\\\\nfrom your EC2 instance to GuardDuty.\\\\n\\\\nFor Amazon EC2 instances, GuardDuty security agent operates at the instance level. You can decide if\\\\nyou want to monitor all or selective Amazon EC2 instances in your account. If you want to manage\\\\nselective instances, the security agent is required only for these instances.\\\\n\\\\nGuardDuty can also consume runtime events from new tasks and existing tasks running in Amazon EC2\\\\ninstances within Amazon ECS clusters.\\\\n\\\\nTo install the GuardDuty security agent, Runtime Monitoring provides the following two options:\\\\n\\\\n* Use automated agent configuration\\\\n (recommended), or\\\\n* Manage security agent manually\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/guardduty/latest/ug/how-runtime-monitoring-works-ec2.html\\\"},{\\\"rank_order\\\":3,\\\"title\\\":\\\"How it works\\\",\\\"context\\\":\\\"# How it works\\\\n\\\\nTo use Runtime Monitoring, you must enable Runtime Monitoring and then manage the GuardDuty security agent. The\\\\nfollowing list explains this two-step process:\\\\n\\\\n1. **Enable Runtime Monitoring** for your account so that GuardDuty can accept\\\\n the runtime events that it receives from your Amazon EC2 instances, Amazon ECS clusters, and Amazon EKS\\\\n workloads.\\\\n2. **Manage GuardDuty agent** for the individual resources for which you\\\\n want to monitor the runtime behavior. Based on the resource type, you can choose to:\\\\n\\\\n * Use automated agent configuration, where GuardDuty manages the agent deployment and automatically creates a Amazon Virtual Private Cloud (Amazon VPC)\\\\n endpoint.\\\\n * Install agent manually, which requires you to create the VPC endpoint as a prerequisite.\\\\n\\\\n The security agent uses a VPC endpoint to deliver events to GuardDuty, ensuring that the data remains\\\\n within the AWS network. This approach enhances security and allows GuardDuty to monitor and analyze runtime behavior\\\\n across your resources (Amazon EKS, Amazon EC2, and AWS Fargate-Amazon ECS). GuardDuty uses Instance identity roles that authenticate the security agent for each resource type\\\\n to send the associated runtime events to the VPC endpoint.\\\\n\\\\n**Note:**\\\\n\\\\nGuardDuty analyzes runtime events in your AWS environment, uses them internally for threat detection, and presents the results through findings.\\\\n\\\\nWhen you manage the security agent (either manually or through GuardDuty) in EKS Runtime Monitoring\\\\nor Runtime Monitoring for EC2 instances, and\\\\nGuardDuty is presently deployed on an Amazon EC2 instance and receives\\\\nthe Collected runtime event\\\\ntypes from this instance, GuardDuty will not charge\\\\nyour AWS account for the analysis of VPC flow logs from this Amazon EC2 instance. This helps GuardDuty avoid double usage cost in the account.\\\\n\\\\nThe following topics explain how enabling Runtime Monitoring and managing GuardDuty security agent works\\\\ndifferently for each resource type.\\\\n\\\\n###### Contents\\\\n\\\\n* How Runtime Monitoring works with Amazon EKS clusters\\\\n* How Runtime Monitoring works with Amazon EC2 instances\\\\n* How Runtime Monitoring works with Fargate (Amazon ECS only)\\\\n* After you enable Runtime Monitoring\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/guardduty/latest/ug/how-does-runtime-monitoring-work.html\\\"}]}}\"}]}], \"label\": \"Verify GuardDuty Runtime Monitoring billing/coverage behavior in AWS docs\"}", + "createdAt": "2026-09-29T09:18:00.651000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "4a9b2f0f-47f9-405c-a1d9-4fae1367b239", + "executionId": "50af4ca3-f4ea-472b-9f30-69aeddc7d34c", + "recordId": "2a9c688d-7693-4c86-b648-a1426eb1a1cc", + "content": "{\"id\": \"2a9c688d-7693-4c86-b648-a1426eb1a1cc\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_6dgdYfMokKqgM4Mng2Cjbv\", \"content\": \"[{'text': '{\\\"content\\\":{\\\"result\\\":[{\\\"rank_order\\\":1,\\\"title\\\":\\\"Intelligent Threat Detection \\u2013 Amazon GuardDuty FAQs \\u2013 Amazon Web Services\\\",\\\"context\\\":\\\"#### Will I incur GuardDuty Runtime Monitoring charges if I don\\u2019t use Amazon EKS, Amazon ECS, or Amazon EC2 and I turn on GuardDuty Runtime Monitoring for one of those workloads?\\\\\\\\n\\\\\\\\nYou will not incur any GuardDuty Runtime Monitoring charges if you have GuardDuty Runtime Monitoring enabled for a workload that you are not running. However, when you start using Amazon EKS, Amazon ECS, or Amazon EC2 and GuardDuty Runtime Monitoring is enabled for that workload, you will be charged when GuardDuty automatically monitors your clusters, tasks, and instances and generate findings for identified issues\\\",\\\"url\\\":\\\"https://aws.amazon.com/guardduty/faqs\\\"},{\\\"rank_order\\\":2,\\\"title\\\":\\\"How Runtime Monitoring works with Amazon EC2 instances\\\",\\\"context\\\":\\\"# How Runtime Monitoring works with Amazon EC2 instances\\\\\\\\n\\\\\\\\nYour Amazon EC2 instances can run multiple types of applications and workloads in your AWS\\\\\\\\nenvironment. When you enable Runtime Monitoring and manage the GuardDuty security agent, GuardDuty helps you\\\\\\\\ndetect threats in your existing Amazon EC2 instances and potentially new ones. This feature also\\\\\\\\nsupports Amazon ECS Managed EC2 Instances.\\\\\\\\n\\\\\\\\n**Note:**\\\\\\\\n\\\\\\\\nRuntime Monitoring doesn\\\\'t support applications running on Amazon ECS\\\\\\\\nManaged Instances.\\\\\\\\n\\\\\\\\nEnabling Runtime Monitoring makes GuardDuty ready to consume runtime events from currently running and\\\\\\\\nnew processes within Amazon EC2 instances. GuardDuty requires a security agent to send runtime events\\\\\\\\nfrom your EC2 instance to GuardDuty.\\\\\\\\n\\\\\\\\nFor Amazon EC2 instances, GuardDuty security agent operates at the instance level. You can decide if\\\\\\\\nyou want to monitor all or selective Amazon EC2 instances in your account. If you want to manage\\\\\\\\nselective instances, the security agent is required only for these instances.\\\\\\\\n\\\\\\\\nGuardDuty can also consume runtime events from new tasks and existing tasks running in Amazon EC2\\\\\\\\ninstances within Amazon ECS clusters.\\\\\\\\n\\\\\\\\nTo install the GuardDuty security agent, Runtime Monitoring provides the following two options:\\\\\\\\n\\\\\\\\n* Use automated agent configuration\\\\\\\\n (recommended), or\\\\\\\\n* Manage security agent manually\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/guardduty/latest/ug/how-runtime-monitoring-works-ec2.html\\\"},{\\\"rank_order\\\":3,\\\"title\\\":\\\"How it works\\\",\\\"context\\\":\\\"# How it works\\\\\\\\n\\\\\\\\nTo use Runtime Monitoring, you must enable Runtime Monitoring and then manage the GuardDuty security agent. The\\\\\\\\nfollowing list explains this two-step process:\\\\\\\\n\\\\\\\\n1. **Enable Runtime Monitoring** for your account so that GuardDuty can accept\\\\\\\\n the runtime events that it receives from your Amazon EC2 instances, Amazon ECS clusters, and Amazon EKS\\\\\\\\n workloads.\\\\\\\\n2. **Manage GuardDuty agent** for the individual resources for which you\\\\\\\\n want to monitor the runtime behavior. Based on the resource type, you can choose to:\\\\\\\\n\\\\\\\\n * Use automated agent configuration, where GuardDuty manages the agent deployment and automatically creates a Amazon Virtual Private Cloud (Amazon VPC)\\\\\\\\n endpoint.\\\\\\\\n * Install agent manually, which requires you to create the VPC endpoint as a prerequisite.\\\\\\\\n\\\\\\\\n The security agent uses a VPC endpoint to deliver events to GuardDuty, ensuring that the data remains\\\\\\\\n within the AWS network. This approach enhances security and allows GuardDuty to monitor and analyze runtime behavior\\\\\\\\n across your resources (Amazon EKS, Amazon EC2, and AWS Fargate-Amazon ECS). GuardDuty uses Instance identity roles that authenticate the security agent for each resource type\\\\\\\\n to send the associated runtime events to the VPC endpoint.\\\\\\\\n\\\\\\\\n**Note:**\\\\\\\\n\\\\\\\\nGuardDuty analyzes runtime events in your AWS environment, uses them internally for threat detection, and presents the results through findings.\\\\\\\\n\\\\\\\\nWhen you manage the security agent (either manually or through GuardDuty) in EKS Runtime Monitoring\\\\\\\\nor Runtime Monitoring for EC2 instances, and\\\\\\\\nGuardDuty is presently deployed on an Amazon EC2 instance and receives\\\\\\\\nthe Collected runtime event\\\\\\\\ntypes from this instance, GuardDuty will not charge\\\\\\\\nyour AWS account for the analysis of VPC flow logs from this Amazon EC2 instance. This helps GuardDuty avoid double usage cost in the account.\\\\\\\\n\\\\\\\\nThe following topics explain how enabling Runtime Monitoring and managing GuardDuty security agent works\\\\\\\\ndifferently for each resource type.\\\\\\\\n\\\\\\\\n###### Contents\\\\\\\\n\\\\\\\\n* How Runtime Monitoring works with Amazon EKS clusters\\\\\\\\n* How Runtime Monitoring works with Amazon EC2 instances\\\\\\\\n* How Runtime Monitoring works with Fargate (Amazon ECS only)\\\\\\\\n* After you enable Runtime Monitoring\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/guardduty/latest/ug/how-does-runtime-monitoring-work.html\\\"}]}}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:18:14.018000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "4a9b2f0f-47f9-405c-a1d9-4fae1367b239", + "executionId": "50af4ca3-f4ea-472b-9f30-69aeddc7d34c", + "recordId": "a157d92a-23a5-4043-85cb-d9d750409a9c", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 4.0, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:18:14.107000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "4a9b2f0f-47f9-405c-a1d9-4fae1367b239", + "executionId": "50af4ca3-f4ea-472b-9f30-69aeddc7d34c", + "recordId": "4fe73e23-b958-4e64-876b-00c7bf4cb948", + "content": "{\"id\": \"4fe73e23-b958-4e64-876b-00c7bf4cb948\", \"role\": \"assistant\", \"content\": [{\"text\": \"That confirms the mechanism. Here's the breakdown:\\n\\n**The problem**\\n\\n\\\"Runtime Monitoring is ENABLED\\\" only turns on the account-level *feature flag* \\u2014 it means GuardDuty is ready to accept and analyze runtime events. It does **not** install anything on your instances. A separate security agent has to actually run on each EC2 instance and stream events to GuardDuty over a VPC endpoint. Those are two independent switches:\\n\\n1. Feature enabled (account/detector level)\\n2. Agent deployed and healthy (per-instance level)\\n\\nYou have (1) without (2) on most instances.\\n\\n**Why this hurts you on both axes**\\n\\n- **Coverage gap:** Instances without a running/healthy agent generate **no runtime findings** \\u2014 no process execution monitoring, no file/network runtime behavior detection. GuardDuty silently has zero visibility there. There's no error banner for this; it just looks \\\"enabled\\\" in the console while actually protecting only the instances where the agent happens to be installed and reporting.\\n- **Cost without payoff:** GuardDuty normally stops charging for VPC Flow Log analysis on any instance where Runtime Monitoring is actively receiving events from that instance (to avoid double-billing you for equivalent detection). If the agent isn't transmitting, that dedupe doesn't kick in \\u2014 so on the uncovered instances you can end up paying for Runtime Monitoring analysis capacity at the account level while also still paying full freight for flow-log-based GuardDuty analysis, and getting the *weaker* (non-runtime) detection coverage instead of the stronger one. In short: you're paying for a feature you enabled but not receiving its detection value on those hosts.\\n\\n**Recommended fix**\\n\\n1. Check per-instance agent coverage: GuardDuty console \\u2192 Runtime Monitoring \\u2192 EC2 coverage tab (or `describe-coverage` via the API/CLI) shows agent status per instance (`HEALTHY`, `UNHEALTHY`, agent not installed, etc.).\\n2. Turn on **automated agent configuration** for EC2 (AWS-recommended) \\u2014 this has GuardDuty auto-deploy and auto-update the agent (via SSM) on all covered instances, including new ones as they launch, rather than relying on manual installs that drift out of coverage.\\n3. For instances that can't use automated configuration (e.g., no SSM agent, unsupported OS/AMI), install the security agent manually and confirm the VPC endpoint for agent delivery exists in that VPC.\\n4. Re-check the coverage tab afterward to confirm status moves to `HEALTHY` \\u2014 that's the point at which findings resume and the flow-log double-billing dedupe applies again.\\n\\nIf you'd like, I can pull your actual per-instance Runtime Monitoring coverage status and flag exactly which instances are unhealthy or missing the agent \\u2014 that would need account access, so just let me know.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:18:14.185000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "4a9b2f0f-47f9-405c-a1d9-4fae1367b239", + "executionId": "50af4ca3-f4ea-472b-9f30-69aeddc7d34c", + "recordId": "ec2f02e8-c905-4d10-923d-0da574821c60", + "content": "{\"id\": \"4f9cbdb5-9bf0-4b73-b95c-0d3ac4aa0f8e\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"That confirms the mechanism. Here's the breakdown:\\n\\n**The problem**\\n\\n\\\"Runtime Monitoring is ENABLED\\\" only turns on the account-level *feature flag* \\u2014 it means GuardDuty is ready to accept and analyze runtime events. It does **not** install anything on your instances. A separate security agent has to actually run on each EC2 instance and stream events to GuardDuty over a VPC endpoint. Those are two independent switches:\\n\\n1. Feature enabled (account/detector level)\\n2. Agent deployed and healthy (per-instance level)\\n\\nYou have (1) without (2) on most instances.\\n\\n**Why this hurts you on both axes**\\n\\n- **Coverage gap:** Instances without a running/healthy agent generate **no runtime findings** \\u2014 no process execution monitoring, no file/network runtime behavior detection. GuardDuty silently has zero visibility there. There's no error banner for this; it just looks \\\"enabled\\\" in the console while actually protecting only the instances where the agent happens to be installed and reporting.\\n- **Cost without payoff:** GuardDuty normally stops charging for VPC Flow Log analysis on any instance where Runtime Monitoring is actively receiving events from that instance (to avoid double-billing you for equivalent detection). If the agent isn't transmitting, that dedupe doesn't kick in \\u2014 so on the uncovered instances you can end up paying for Runtime Monitoring analysis capacity at the account level while also still paying full freight for flow-log-based GuardDuty analysis, and getting the *weaker* (non-runtime) detection coverage instead of the stronger one. In short: you're paying for a feature you enabled but not receiving its detection value on those hosts.\\n\\n**Recommended fix**\\n\\n1. Check per-instance agent coverage: GuardDuty console \\u2192 Runtime Monitoring \\u2192 EC2 coverage tab (or `describe-coverage` via the API/CLI) shows agent status per instance (`HEALTHY`, `UNHEALTHY`, agent not installed, etc.).\\n2. Turn on **automated agent configuration** for EC2 (AWS-recommended) \\u2014 this has GuardDuty auto-deploy and auto-update the agent (via SSM) on all covered instances, including new ones as they launch, rather than relying on manual installs that drift out of coverage.\\n3. For instances that can't use automated configuration (e.g., no SSM agent, unsupported OS/AMI), install the security agent manually and confirm the VPC endpoint for agent delivery exists in that VPC.\\n4. Re-check the coverage tab afterward to confirm status moves to `HEALTHY` \\u2014 that's the point at which findings resume and the flow-log double-billing dedupe applies again.\\n\\nIf you'd like, I can pull your actual per-instance Runtime Monitoring coverage status and flag exactly which instances are unhealthy or missing the agent \\u2014 that would need account access, so just let me know.\"}]}", + "createdAt": "2026-09-29T09:18:14.270000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-offset/with_skill/functional-tests-results.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-offset/with_skill/functional-tests-results.json new file mode 100644 index 00000000..0fd33c0f --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-offset/with_skill/functional-tests-results.json @@ -0,0 +1,65 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "guardduty-cost-runtime-offset", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "passed", + "message": "Skill 'guardduty-cost-optimization' was triggered as expected", + "skill_loads_found": 1 + }, + "expected_output": { + "result": "passed", + "reasoning": "The agent's response accurately conveys the core expected facts: instances covered by the Runtime Monitoring agent are not charged for VPC Flow Log processing; the two charges trade off and net effect should be evaluated together; and if the agent stops transmitting (disabled/crashes/loses connectivity), VPC Flow Log charges resume. This matches all elements of the expected output.", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response refers to GuardDuty Runtime Monitoring and VPC Flow Log processing charges", + "evaluator": "llm", + "passed": true, + "evidence": "The response explicitly discusses 'Runtime Monitoring and VPC Flow Log charges' and states 'For instances covered by the Runtime Monitoring agent, GuardDuty stops charging for VPC Flow Log processing on those instances.'", + "reasoning": "The response directly references both GuardDuty Runtime Monitoring and VPC Flow Log processing charges throughout.", + "confidence": "high" + }, + { + "text": "The response states that for monitored instances GuardDuty does not charge for VPC Flow Log processing (Runtime Monitoring offsets/decreases that charge)", + "evaluator": "llm", + "passed": true, + "evidence": "'For instances covered by the Runtime Monitoring agent, GuardDuty stops charging for VPC Flow Log processing on those instances. The agent's own telemetry substitutes for the flow log analysis, so the two line items offset rather than stack.'", + "reasoning": "The response clearly states that monitored instances are not charged for VPC Flow Log processing because Runtime Monitoring offsets that charge.", + "confidence": "high" + }, + { + "text": "The response conveys that the two charges trade against each other so the net effect must be evaluated", + "evaluator": "llm", + "passed": true, + "evidence": "'That means you should size the net effect of the two charges together, not evaluate either one in isolation \u2014 e.g., don't count a VPC Flow Log \"saving\" without accounting for the Runtime Monitoring cost that's producing it.'", + "reasoning": "The response explicitly instructs evaluating the net effect of the two charges together rather than in isolation, directly conveying the trade-off relationship.", + "confidence": "high" + } + ], + "summary": { + "passed": 3, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "7s", + "cost": "$0.06", + "context_window": { + "utilization": "4.4%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-offset/with_skill/outputs/journal_records.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-offset/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..d3b3cf97 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-offset/with_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "472604c0-ac89-4992-9686-6a02060b3fd1", + "executionId": "174de4c7-4681-48c4-911a-3ab5e2e7535f", + "recordId": "136bf3d5-e1a6-4593-964a-b1f68694f3e9", + "content": "{\"id\": \"136bf3d5-e1a6-4593-964a-b1f68694f3e9\", \"role\": \"user\", \"content\": [{\"text\": \"According to the GuardDuty cost optimization skill, how does enabling GuardDuty Runtime Monitoring affect VPC Flow Log processing charges for the instances it monitors? No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:01.395000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "472604c0-ac89-4992-9686-6a02060b3fd1", + "executionId": "174de4c7-4681-48c4-911a-3ab5e2e7535f", + "recordId": "99550f90-464d-4fe8-bbcd-1ca56c2adbc0", + "content": "{\"id\": \"e78c0598-50eb-491e-93b0-34b54eb1f92c\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"GuardDuty Runtime Monitoring VPC Flow Log cost impact\"}]}", + "createdAt": "2026-09-29T09:16:01.971000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "472604c0-ac89-4992-9686-6a02060b3fd1", + "executionId": "174de4c7-4681-48c4-911a-3ab5e2e7535f", + "recordId": "f1dc3371-3022-466a-a29f-b8fc964d6301", + "content": "{\"id\": \"f1dc3371-3022-466a-a29f-b8fc964d6301\", \"role\": \"assistant\", \"content\": [{\"id\": \"tooluse_eMhWNtGaKUxjQnr34Ooj6i\", \"tool_name\": \"skill_read\", \"input\": {\"skill_id\": \"guardduty-cost-optimization\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:06.574000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "472604c0-ac89-4992-9686-6a02060b3fd1", + "executionId": "174de4c7-4681-48c4-911a-3ab5e2e7535f", + "recordId": "3b25f607-1a1a-4e29-88e9-4443f7b8c7ba", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:06.667000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "472604c0-ac89-4992-9686-6a02060b3fd1", + "executionId": "174de4c7-4681-48c4-911a-3ab5e2e7535f", + "recordId": "a4da7fa5-89d8-48cd-bcc2-49fe10ab42aa", + "content": "{\"id\": \"1d862f75-8dbd-42a5-a59d-08bd3022a564\", \"role\": \"assistant\", \"block_type\": \"load_skill\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_eMhWNtGaKUxjQnr34Ooj6i\", \"status\": \"success\", \"content\": [{\"text\": \"Done\"}]}], \"label\": \"Read the GuardDuty cost optimization skill for VPC Flow Log/Runtime Monitoring interaction details.\"}", + "createdAt": "2026-09-29T09:16:06.742000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "472604c0-ac89-4992-9686-6a02060b3fd1", + "executionId": "174de4c7-4681-48c4-911a-3ab5e2e7535f", + "recordId": "6bab82ee-3b9f-49eb-8ce7-bae855a2e3d6", + "content": "{\"id\": \"6bab82ee-3b9f-49eb-8ce7-bae855a2e3d6\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_eMhWNtGaKUxjQnr34Ooj6i\", \"content\": \"[{'text': '{\\\"content\\\": \\\"---\\\\\\\\nname: guardduty-cost-optimization\\\\\\\\ndescription: Identify and quantify Amazon GuardDuty cost optimization opportunities.\\\\\\\\n Use this skill when a user asks to reduce, review, audit, or optimize GuardDuty\\\\\\\\n spend, or reports an unexpected GuardDuty cost increase or an expensive protection\\\\\\\\n plan. Activate on requests like \\\\\\\\\\\"why is my GuardDuty bill so high\\\\\\\\\\\", \\\\\\\\\\\"reduce\\\\\\\\n GuardDuty costs\\\\\\\\\\\", \\\\\\\\\\\"GuardDuty cost review\\\\\\\\\\\", \\\\\\\\\\\"which GuardDuty protection plan costs\\\\\\\\n the most\\\\\\\\\\\", \\\\\\\\\\\"is GuardDuty S3 Protection worth it\\\\\\\\\\\", or \\\\\\\\\\\"project my GuardDuty spend\\\\\\\\n after the free trial\\\\\\\\\\\". This skill analyzes enabled protection plans and their\\\\\\\\n per-data-source usage from the AWS/GuardDuty CloudWatch usage metrics through\\\\\\\\n read-only APIs to surface high-cost/low-signal protection plans, VPC-Flow-Log\\\\\\\\n charges offset by Runtime Monitoring, expensive S3/data-event analysis,\\\\\\\\n free-trial cost projection, and duplicate multi-account coverage, producing a\\\\\\\\n severity-ranked report of savings.\\\\\\\\nmetadata:\\\\\\\\n author: holmalla\\\\\\\\n version: \\\\\\\\\\\"1.1.0\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.agent-types: \\\\\\\\\\\"Chat tasks, Evaluation\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.aws-services: \\\\\\\\\\\"Amazon GuardDuty\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.technical-domains: \\\\\\\\\\\"Security, Cost Optimization\\\\\\\\\\\"\\\\\\\\n---\\\\\\\\n\\\\\\\\n# Amazon GuardDuty Cost Optimization\\\\\\\\n\\\\\\\\nIdentify, quantify, and prioritize Amazon GuardDuty cost optimization opportunities\\\\\\\\naligned with [Monitoring GuardDuty usage and estimating costs](https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html)\\\\\\\\nand [GuardDuty pricing](https://aws.amazon.com/guardduty/pricing/).\\\\\\\\n\\\\\\\\nThis skill uses **read-only GuardDuty, CloudWatch, and Organizations APIs only**. It\\\\\\\\nnever enables, disables, or reconfigures a detector or protection plan \\\\\\\\u2014 all\\\\\\\\nremediation is delivered as recommendations for a human to review and apply. It reads\\\\\\\\nusage metrics and findings statistics only; it does not read finding detail content.\\\\\\\\n\\\\\\\\n## When to Use\\\\\\\\n\\\\\\\\nActivate this skill when the user asks to:\\\\\\\\n- Reduce or optimize Amazon GuardDuty costs\\\\\\\\n- Investigate an unexpected GuardDuty cost increase\\\\\\\\n- Understand which protection plan or data source drives GuardDuty spend\\\\\\\\n- Decide whether a protection plan (S3 Protection, Runtime Monitoring, etc.) is worth its cost\\\\\\\\n- Project GuardDuty spend after the 30-day free trial\\\\\\\\n- Perform a GuardDuty cost review or FinOps assessment\\\\\\\\n\\\\\\\\n## How GuardDuty Billing Works\\\\\\\\n\\\\\\\\nThe pricing model is the foundation of every finding below. The essentials:\\\\\\\\n\\\\\\\\n- GuardDuty is pay-as-you-go, **per protection plan**, priced on the volume of data\\\\\\\\n each plan analyzes. There is no per-detector fee \\\\\\\\u2014 cost is driven entirely by\\\\\\\\n analyzed volume, and each plan meters on its own unit (counts, bytes, or vCPU/ACU\\\\\\\\n hours).\\\\\\\\n- **Runtime Monitoring offsets VPC Flow Log charges** \\\\\\\\u2014 for instances the Runtime\\\\\\\\n Monitoring agent covers, GuardDuty stops charging for VPC Flow Log processing. The\\\\\\\\n two line items trade against each other; size the net effect.\\\\\\\\n- **Your own log configuration does not reduce GuardDuty cost** \\\\\\\\u2014 GuardDuty ingests\\\\\\\\n from independent internal sources. The only cost lever is the GuardDuty\\\\\\\\n **protection-plan** configuration itself.\\\\\\\\n\\\\\\\\nFor the full per-plan metric/unit/pricing table, the two critical billing behaviors,\\\\\\\\nand byte-to-GB/TB conversions, load\\\\\\\\n[references/billing-model.md](references/billing-model.md) when identifying which plan\\\\\\\\ndrives a charge or reasoning about the Runtime Monitoring offset.\\\\\\\\n\\\\\\\\n## Workflow\\\\\\\\n\\\\\\\\nWork through these steps in order \\\\\\\\u2014 each depends on the output of the one before it.\\\\\\\\n\\\\\\\\n- [ ] **Step 1: Identify target scope.** Ask the user which accounts and Regions to\\\\\\\\n review, and whether this is a standalone account, a GuardDuty\\\\\\\\n delegated-administrator account, or a member account. Accept specific account IDs\\\\\\\\n and Regions, \\\\\\\\\\\"all regions\\\\\\\\\\\", or \\\\\\\\\\\"organization\\\\\\\\\\\". If no scope is given, default to the\\\\\\\\n current account across all Regions with a 30-day analysis window. Delegated-admin\\\\\\\\n accounts additionally receive **aggregated** organization usage metrics \\\\\\\\u2014 use them\\\\\\\\n for org-wide sizing.\\\\\\\\n\\\\\\\\n- [ ] **Step 2: Inventory detectors and protection plans.** Enumerate detectors,\\\\\\\\n enabled protection plans/features, Runtime Monitoring agent coverage, and (on a\\\\\\\\n delegated admin) member-account coverage, using read-only APIs. Also pull finding\\\\\\\\n statistics as the value signal. For the exact API calls and what each returns, load\\\\\\\\n [references/data-collection.md](references/data-collection.md).\\\\\\\\n\\\\\\\\n- [ ] **Step 3: Collect per-plan usage metrics.** Pull the `AWS/GuardDuty` usage\\\\\\\\n metrics via `cloudwatch.GetMetricData` broken down by the `DataSource` dimension\\\\\\\\n over the window (plus `AWS/GuardDuty/MalwareProtection` for S3 malware scans), and\\\\\\\\n prefer Cost Explorer as the dollar signal, reconciled against the usage metrics. The\\\\\\\\n exact metrics, dimensions, lag caveats, and unit conversions are in\\\\\\\\n [references/data-collection.md](references/data-collection.md). If neither Cost\\\\\\\\n Explorer nor usage metrics are available, still report configuration findings and\\\\\\\\n label dollar impact as \\\\\\\\\\\"not quantified \\\\\\\\u2014 enable Cost Explorer for sizing\\\\\\\\\\\".\\\\\\\\n\\\\\\\\n- [ ] **Step 4: Analyze cost optimization opportunities.** Rank each enabled\\\\\\\\n protection plan by its share of total GuardDuty spend, then evaluate the seven\\\\\\\\n opportunity checks (\\\\\\\\u00a74.1 high-cost/low-signal plans, \\\\\\\\u00a74.2 Runtime Monitoring \\\\\\\\u2194 VPC\\\\\\\\n Flow Log offset, \\\\\\\\u00a74.3 S3 Protection cost vs value, \\\\\\\\u00a74.4 Malware Protection for S3\\\\\\\\n scan volume, \\\\\\\\u00a74.5 free-trial cost projection, \\\\\\\\u00a74.6 duplicate/inconsistent\\\\\\\\n multi-account coverage, \\\\\\\\u00a74.7 Security Hub consolidated pricing). Load\\\\\\\\n [references/opportunities.md](references/opportunities.md) for the full check\\\\\\\\n definitions and severity guidance. **Frame every recommendation against security\\\\\\\\n value** \\\\\\\\u2014 never recommend disabling a plan purely on cost. Assign each finding a\\\\\\\\n severity (CRITICAL, HIGH, MEDIUM, LOW, INFO) and, where a usage/cost signal exists,\\\\\\\\n an estimated monthly saving.\\\\\\\\n\\\\\\\\n- [ ] **Step 5: Validate findings.** Before writing the report, self-check the\\\\\\\\n findings: confirm estimated savings sum correctly and each traces to a cited metric\\\\\\\\n or cost signal; confirm byte-to-GB/TB conversions are correct; confirm every plan\\\\\\\\n reduction is framed as a cost-vs-risk tradeoff citing that plan\\\\'s finding activity\\\\\\\\n (never a cost-only \\\\\\\\\\\"disable\\\\\\\\\\\"); confirm no VPC Flow Log saving ignores the Runtime\\\\\\\\n Monitoring offset; and confirm no mutation API was called. Drop or re-label any\\\\\\\\n finding that fails these checks.\\\\\\\\n\\\\\\\\n- [ ] **Step 6: Generate report.** Produce a shareable Markdown report artifact\\\\\\\\n following the structure, section order, and table schemas in\\\\\\\\n [assets/report-template.md](assets/report-template.md). Load that template when\\\\\\\\n generating the report.\\\\\\\\n\\\\\\\\n## Severity Definitions\\\\\\\\n\\\\\\\\n| Severity | Definition | SLA |\\\\\\\\n|----------|------------|-----|\\\\\\\\n| CRITICAL | Runaway cost causing large ongoing overspend | Fix within 24\\\\\\\\u201348 hours |\\\\\\\\n| HIGH | Clear, sizable recurring saving, or a time-boxed free-trial decision | Fix within 1 week |\\\\\\\\n| MEDIUM | Notable saving with a value tradeoff to weigh | Plan within 30 days |\\\\\\\\n| LOW | Minor saving or hygiene | Address when convenient |\\\\\\\\n| INFO | Observation, no action required | N/A |\\\\\\\\n\\\\\\\\n## Safety and Boundaries\\\\\\\\n\\\\\\\\n- **Read-only.** The skill calls only `List*`, `Get*`, `Describe*` APIs and CloudWatch\\\\\\\\n reads. It never calls `CreateDetector`, `UpdateDetector`, `DeleteDetector`,\\\\\\\\n `DisableOrganizationAdminAccount`, or any protection-plan mutation.\\\\\\\\n- **Security value first.** GuardDuty is a security control. Never recommend disabling\\\\\\\\n a protection plan purely on cost \\\\\\\\u2014 always frame it as a cost-vs-risk tradeoff, cite\\\\\\\\n the finding activity for that plan, and defer the decision to the user\\\\'s security\\\\\\\\n posture. Removing coverage can create undetected exposure.\\\\\\\\n- **Proposed changes are suggestions.** Every recommendation is for a human to review\\\\\\\\n and apply.\\\\\\\\n\\\\\\\\n## Known Quirks\\\\\\\\n\\\\\\\\n- **Your own log configuration does not change GuardDuty cost** \\\\\\\\u2014 do not recommend\\\\\\\\n turning off customer VPC Flow Logs, CloudTrail, or S3 data events to reduce\\\\\\\\n GuardDuty spend; GuardDuty reads independent internal sources. The lever is the\\\\\\\\n GuardDuty protection-plan config.\\\\\\\\n- **Runtime Monitoring and VPC Flow Log charges trade against each other** \\\\\\\\u2014 size the\\\\\\\\n net effect, not either line item alone. If the agent stops transmitting, VPC Flow\\\\\\\\n Log charges silently resume.\\\\\\\\n- Usage metrics lag up to ~24 hours and are hourly \\\\\\\\u2014 use a multi-day window, not a\\\\\\\\n single hour, for sizing.\\\\\\\\n- Byte-unit metrics must be converted to GB/TB to match pricing tiers.\\\\\\\\n- The 30-day free trial is **per account, per plan**, and its status is independent of\\\\\\\\n Security Hub integration \\\\\\\\u2014 enabling Security Hub does not grant, extend, or restart a\\\\\\\\n trial.\\\\\\\\n- Malware Protection for S3 lives in a **separate** CloudWatch namespace\\\\\\\\n (`AWS/GuardDuty/MalwareProtection`) from the other plans (`AWS/GuardDuty`).\\\\\\\\n\\\", \\\"resource_manifest\\\": [\\\"SKILL.md\\\", \\\"references/opportunities.md\\\", \\\"references/data-collection.md\\\", \\\"references/billing-model.md\\\", \\\"assets/report-template.md\\\"]}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:13.589000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "472604c0-ac89-4992-9686-6a02060b3fd1", + "executionId": "174de4c7-4681-48c4-911a-3ab5e2e7535f", + "recordId": "b400cd04-4276-49c9-bd5a-8968fca59e2a", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 4.4, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:13.671000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "472604c0-ac89-4992-9686-6a02060b3fd1", + "executionId": "174de4c7-4681-48c4-911a-3ab5e2e7535f", + "recordId": "fedc1db4-e2d9-47e2-bc1a-aafeef147988", + "content": "{\"id\": \"fedc1db4-e2d9-47e2-bc1a-aafeef147988\", \"role\": \"assistant\", \"content\": [{\"text\": \"According to the skill, Runtime Monitoring and VPC Flow Log charges trade against each other on a per-instance basis:\\n\\n- **For instances covered by the Runtime Monitoring agent, GuardDuty stops charging for VPC Flow Log processing on those instances.** The agent's own telemetry substitutes for the flow log analysis, so the two line items offset rather than stack.\\n- That means you should size the **net effect** of the two charges together, not evaluate either one in isolation \\u2014 e.g., don't count a VPC Flow Log \\\"saving\\\" without accounting for the Runtime Monitoring cost that's producing it.\\n- There's a quirk to watch for: **if the Runtime Monitoring agent stops transmitting data** (e.g., it's uninstalled, crashes, or loses connectivity) for a monitored instance, VPC Flow Log charges **silently resume** for that instance \\u2014 so coverage gaps can quietly reintroduce cost.\\n\\nThis is one of the seven cost-optimization checks the skill evaluates (\\u00a74.2 in its opportunities reference) when reviewing an account's GuardDuty spend.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:13.763000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "472604c0-ac89-4992-9686-6a02060b3fd1", + "executionId": "174de4c7-4681-48c4-911a-3ab5e2e7535f", + "recordId": "57635e31-8a54-4b78-ba3a-5de0bdb655f7", + "content": "{\"id\": \"ecb5b092-f078-4921-aa28-5982a9fdb8c6\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"According to the skill, Runtime Monitoring and VPC Flow Log charges trade against each other on a per-instance basis:\\n\\n- **For instances covered by the Runtime Monitoring agent, GuardDuty stops charging for VPC Flow Log processing on those instances.** The agent's own telemetry substitutes for the flow log analysis, so the two line items offset rather than stack.\\n- That means you should size the **net effect** of the two charges together, not evaluate either one in isolation \\u2014 e.g., don't count a VPC Flow Log \\\"saving\\\" without accounting for the Runtime Monitoring cost that's producing it.\\n- There's a quirk to watch for: **if the Runtime Monitoring agent stops transmitting data** (e.g., it's uninstalled, crashes, or loses connectivity) for a monitored instance, VPC Flow Log charges **silently resume** for that instance \\u2014 so coverage gaps can quietly reintroduce cost.\\n\\nThis is one of the seven cost-optimization checks the skill evaluates (\\u00a74.2 in its opportunities reference) when reviewing an account's GuardDuty spend.\"}]}", + "createdAt": "2026-09-29T09:16:13.838000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-offset/without_skill/functional-tests-results.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-offset/without_skill/functional-tests-results.json new file mode 100644 index 00000000..9a77698f --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-offset/without_skill/functional-tests-results.json @@ -0,0 +1,62 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "guardduty-cost-runtime-offset", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "passed", + "reasoning": "The agent's response accurately explains that for instances actively monitored by GuardDuty Runtime Monitoring, GuardDuty does not charge for VPC Flow Log processing on those instances, so enabling Runtime Monitoring decreases VPC Flow Log usage/charges. It also notes that disabling Runtime Monitoring, or the agent failing to transmit data, restores the VPC Flow Log charges. This matches the core expected content closely, including the trade-off dynamic between the two line items. The only minor caveat is the agent flagged it doesn't have a literal 'skill' named as such, but it still substantively answered the technical question correctly and completely, covering all the key points expected: no double charging while agent active, fallback to billing if agent stops, and visibility in usage metrics. The 'net effect must be sized' point isn't explicitly stated as a call to action, but the response does convey that the two charges trade off against each other ('cost-optimization lever... doesn't eliminate Flow Log analysis, just the charge').", + "evidence": "\"For any EC2 instance or EKS workload monitored by GuardDuty Runtime Monitoring, GuardDuty stops charging for VPC Flow Log processing on that instance as long as the runtime agent is actively sending event data... If the agent stops transmitting runtime data... GuardDuty reverts to charging for VPC Flow Log processing on that instance... Enabling Runtime Monitoring will show up as a decrease in VPC Flow Logs usage in GuardDuty's CloudWatch usage metrics; disabling it restores that usage (and the associated charges).\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response refers to GuardDuty Runtime Monitoring and VPC Flow Log processing charges", + "evaluator": "llm", + "passed": true, + "evidence": "The response explicitly discusses 'GuardDuty Runtime Monitoring' and 'VPC Flow Log processing charges' throughout, e.g. 'GuardDuty stops charging for VPC Flow Log processing on that instance as long as the runtime agent is actively sending event data.'", + "reasoning": "The output clearly references both GuardDuty Runtime Monitoring and VPC Flow Log processing charges as the central topic.", + "confidence": "high" + }, + { + "text": "The response states that for monitored instances GuardDuty does not charge for VPC Flow Log processing (Runtime Monitoring offsets/decreases that charge)", + "evaluator": "llm", + "passed": true, + "evidence": "'For any EC2 instance or EKS workload monitored by GuardDuty Runtime Monitoring, GuardDuty stops charging for VPC Flow Log processing on that instance as long as the runtime agent is actively sending event data.'", + "reasoning": "The response directly states that monitored instances are not charged for VPC Flow Log processing while Runtime Monitoring is active, satisfying the assertion.", + "confidence": "high" + }, + { + "text": "The response conveys that the two charges trade against each other so the net effect must be evaluated", + "evaluator": "llm", + "passed": true, + "evidence": "'Net effect: Runtime Monitoring is a cost-optimization lever for accounts already paying for VPC Flow Log processing in GuardDuty \u2014 it doesn't eliminate Flow Log analysis, just the charge for it, for as long as the agent stays active on that instance.' Also: 'Enabling Runtime Monitoring will show up as a decrease in VPC Flow Logs usage... disabling it restores that usage (and the associated charges).'", + "reasoning": "The response frames this as a trade-off/net effect between Runtime Monitoring being active (reducing Flow Log charges) versus inactive (charges returning), and explicitly uses the phrase 'Net effect' to summarize the interplay, which satisfies the assertion that the two charges trade against each other requiring evaluation of net effect.", + "confidence": "medium" + } + ], + "summary": { + "passed": 3, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "9s", + "cost": "$0.08", + "context_window": { + "utilization": "4.0%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-offset/without_skill/outputs/journal_records.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-offset/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..979346a2 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-runtime-offset/without_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "a31cd97e-1806-4019-ab64-d8f8d1f2241b", + "executionId": "c2c808d8-cafd-4ff7-bea8-437bc77f01fa", + "recordId": "c8c27e98-f207-4272-82e8-706cd1fac9a8", + "content": "{\"id\": \"c8c27e98-f207-4272-82e8-706cd1fac9a8\", \"role\": \"user\", \"content\": [{\"text\": \"According to the GuardDuty cost optimization skill, how does enabling GuardDuty Runtime Monitoring affect VPC Flow Log processing charges for the instances it monitors? No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:00.994000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "a31cd97e-1806-4019-ab64-d8f8d1f2241b", + "executionId": "c2c808d8-cafd-4ff7-bea8-437bc77f01fa", + "recordId": "cf822a2c-4c9f-4a32-b744-b805ba7274a7", + "content": "{\"id\": \"668e9df0-b65d-49e7-8426-74102f8383fb\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"GuardDuty Runtime Monitoring VPC Flow Logs cost impact\"}]}", + "createdAt": "2026-09-29T09:16:01.671000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "a31cd97e-1806-4019-ab64-d8f8d1f2241b", + "executionId": "c2c808d8-cafd-4ff7-bea8-437bc77f01fa", + "recordId": "28b98960-6432-4284-ad1e-93c5b4a309b1", + "content": "{\"id\": \"28b98960-6432-4284-ad1e-93c5b4a309b1\", \"role\": \"assistant\", \"content\": [{\"text\": \"I don't have a \\\"GuardDuty cost optimization\\\" skill in my available skill set, so I can't pull that answer from a skill directly. Let me check AWS documentation instead for the actual relationship between GuardDuty Runtime Monitoring and VPC Flow Log processing charges.\", \"type\": \"text\"}, {\"id\": \"tooluse_RjBrTVOtLMhnLXWziFIhwL\", \"tool_name\": \"verify_aws_claim\", \"input\": {\"claim\": \"GuardDuty Runtime Monitoring effect on VPC Flow Log processing charges for monitored instances\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:06.698000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "a31cd97e-1806-4019-ab64-d8f8d1f2241b", + "executionId": "c2c808d8-cafd-4ff7-bea8-437bc77f01fa", + "recordId": "cd529ceb-317d-45f7-9468-aedf4c858b3a", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:06.774000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "a31cd97e-1806-4019-ab64-d8f8d1f2241b", + "executionId": "c2c808d8-cafd-4ff7-bea8-437bc77f01fa", + "recordId": "d74eea96-4f86-42f2-8b95-e4cadc3678e0", + "content": "{\"id\": \"4a99de14-9add-4bed-af10-5d8dc9645d2f\", \"role\": \"assistant\", \"block_type\": \"tool_summary\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_RjBrTVOtLMhnLXWziFIhwL\", \"status\": \"success\", \"content\": [{\"text\": \"{\\\"content\\\":{\\\"result\\\":[{\\\"rank_order\\\":1,\\\"title\\\":\\\"Monitoring GuardDuty Usage and Estimating Costs\\\",\\\"context\\\":\\\"## Understanding GuardDuty Usage\\\\n\\\\n### GuardDuty Event Processing\\\\n\\\\nWhen enabled, GuardDuty automatically consumes events and logs directly from the log sources in your selected AWS Region. GuardDuty ingests events from separate, independent data sources to provide comprehensive security value.\\\\n\\\\n**Important:**\\\\n\\\\nYour individual service log configuration or filtering rules (for VPC Flow Logs, DNS Logs, CloudTrail Events, S3 Data Events, Kubernetes Audit Logs, and Lambda Network Logs) do not impact the logs/events processed by GuardDuty.\\\\n\\\\n### GuardDuty VPC Flow Logs processing charges for instances monitored by GuardDuty Runtime Monitoring\\\\n\\\\nFor instances monitored by GuardDuty Runtime Monitoring (via either EC2 Runtime agent or Amazon EKS Runtime agent), GuardDuty will not charge for VPC Flow Logs processing as long as the agent actively sends runtime event data. If the agent stops transmitting event data, GuardDuty reverts to charging via VPC Flow Logs.\\\\n\\\\nEnabling Runtime Monitoring decreases VPC Flow Logs usage in GuardDuty Amazon CloudWatch usage metrics. Disabling Runtime Monitoring restores VPC Flow Logs usage\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html\\\"},{\\\"rank_order\\\":2,\\\"title\\\":\\\"Get to know Amazon GuardDuty Runtime Monitoring for Amazon EC2 | AWS Security Blog\\\",\\\"context\\\":\\\"### Runtime data and flow logs data\\\\n\\\\nWhen exploring the Runtime Monitoring feature and its usefulness for your organization, a key item to understand is the foundational level of protection for your account and workloads. When you enable GuardDuty the foundational data sources of VPC Flow Logs, DNS logs, and CloudTrail logs are also enabled, and those sources cannot be turned off without fully disabling GuardDuty. Runtime Monitoring provides contextual information that allows for more precise findings that can help with targeted remediation compared to the information provided in VPC Flow Logs. When the Runtime Monitoring agent is deployed onto an instance, the GuardDuty service still processes the VPC Flow Logs and DNS logs for that instance. If, at any point in time, an unauthorized user tampers with your security agent or an instance is deployed without the security agent, GuardDuty will continue to use VPC Flow Logs and DNS logs data to monitor for potential threats and suspicious activity, providing you defense in depth to help ensure you have visibility and coverage for detecting threats.\\\\n\\\\n> **Note**: GuardDuty doesn\\u2019t charge you for processing VPC Flow Logs while the Runtime Monitoring agent is active on an instance\\\",\\\"url\\\":\\\"https://aws.amazon.com/blogs/security/get-to-know-amazon-guardduty-runtime-monitoring-for-amazon-ec2/\\\"},{\\\"rank_order\\\":3,\\\"title\\\":\\\"How it works\\\",\\\"context\\\":\\\"# How it works\\\\n\\\\nTo use Runtime Monitoring, you must enable Runtime Monitoring and then manage the GuardDuty security agent. The\\\\nfollowing list explains this two-step process:\\\\n\\\\n1. **Enable Runtime Monitoring** for your account so that GuardDuty can accept\\\\n the runtime events that it receives from your Amazon EC2 instances, Amazon ECS clusters, and Amazon EKS\\\\n workloads.\\\\n2. **Manage GuardDuty agent** for the individual resources for which you\\\\n want to monitor the runtime behavior. Based on the resource type, you can choose to:\\\\n\\\\n * Use automated agent configuration, where GuardDuty manages the agent deployment and automatically creates a Amazon Virtual Private Cloud (Amazon VPC)\\\\n endpoint.\\\\n * Install agent manually, which requires you to create the VPC endpoint as a prerequisite.\\\\n\\\\n The security agent uses a VPC endpoint to deliver events to GuardDuty, ensuring that the data remains\\\\n within the AWS network. This approach enhances security and allows GuardDuty to monitor and analyze runtime behavior\\\\n across your resources (Amazon EKS, Amazon EC2, and AWS Fargate-Amazon ECS). GuardDuty uses Instance identity roles that authenticate the security agent for each resource type\\\\n to send the associated runtime events to the VPC endpoint.\\\\n\\\\n**Note:**\\\\n\\\\nGuardDuty analyzes runtime events in your AWS environment, uses them internally for threat detection, and presents the results through findings.\\\\n\\\\nWhen you manage the security agent (either manually or through GuardDuty) in EKS Runtime Monitoring\\\\nor Runtime Monitoring for EC2 instances, and\\\\nGuardDuty is presently deployed on an Amazon EC2 instance and receives\\\\nthe Collected runtime event\\\\ntypes from this instance, GuardDuty will not charge\\\\nyour AWS account for the analysis of VPC flow logs from this Amazon EC2 instance. This helps GuardDuty avoid double usage cost in the account.\\\\n\\\\nThe following topics explain how enabling Runtime Monitoring and managing GuardDuty security agent works\\\\ndifferently for each resource type.\\\\n\\\\n###### Contents\\\\n\\\\n* How Runtime Monitoring works with Amazon EKS clusters\\\\n* How Runtime Monitoring works with Amazon EC2 instances\\\\n* How Runtime Monitoring works with Fargate (Amazon ECS only)\\\\n* After you enable Runtime Monitoring\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/guardduty/latest/ug/how-does-runtime-monitoring-work.html\\\"}]}}\"}]}], \"label\": \"Look up AWS docs on GuardDuty Runtime Monitoring and VPC Flow Log cost impact\"}", + "createdAt": "2026-09-29T09:16:08.191000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "a31cd97e-1806-4019-ab64-d8f8d1f2241b", + "executionId": "c2c808d8-cafd-4ff7-bea8-437bc77f01fa", + "recordId": "dc633dbe-3239-46cb-9fb8-56a303fec6ae", + "content": "{\"id\": \"dc633dbe-3239-46cb-9fb8-56a303fec6ae\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_RjBrTVOtLMhnLXWziFIhwL\", \"content\": \"[{'text': '{\\\"content\\\":{\\\"result\\\":[{\\\"rank_order\\\":1,\\\"title\\\":\\\"Monitoring GuardDuty Usage and Estimating Costs\\\",\\\"context\\\":\\\"## Understanding GuardDuty Usage\\\\\\\\n\\\\\\\\n### GuardDuty Event Processing\\\\\\\\n\\\\\\\\nWhen enabled, GuardDuty automatically consumes events and logs directly from the log sources in your selected AWS Region. GuardDuty ingests events from separate, independent data sources to provide comprehensive security value.\\\\\\\\n\\\\\\\\n**Important:**\\\\\\\\n\\\\\\\\nYour individual service log configuration or filtering rules (for VPC Flow Logs, DNS Logs, CloudTrail Events, S3 Data Events, Kubernetes Audit Logs, and Lambda Network Logs) do not impact the logs/events processed by GuardDuty.\\\\\\\\n\\\\\\\\n### GuardDuty VPC Flow Logs processing charges for instances monitored by GuardDuty Runtime Monitoring\\\\\\\\n\\\\\\\\nFor instances monitored by GuardDuty Runtime Monitoring (via either EC2 Runtime agent or Amazon EKS Runtime agent), GuardDuty will not charge for VPC Flow Logs processing as long as the agent actively sends runtime event data. If the agent stops transmitting event data, GuardDuty reverts to charging via VPC Flow Logs.\\\\\\\\n\\\\\\\\nEnabling Runtime Monitoring decreases VPC Flow Logs usage in GuardDuty Amazon CloudWatch usage metrics. Disabling Runtime Monitoring restores VPC Flow Logs usage\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html\\\"},{\\\"rank_order\\\":2,\\\"title\\\":\\\"Get to know Amazon GuardDuty Runtime Monitoring for Amazon EC2 | AWS Security Blog\\\",\\\"context\\\":\\\"### Runtime data and flow logs data\\\\\\\\n\\\\\\\\nWhen exploring the Runtime Monitoring feature and its usefulness for your organization, a key item to understand is the foundational level of protection for your account and workloads. When you enable GuardDuty the foundational data sources of VPC Flow Logs, DNS logs, and CloudTrail logs are also enabled, and those sources cannot be turned off without fully disabling GuardDuty. Runtime Monitoring provides contextual information that allows for more precise findings that can help with targeted remediation compared to the information provided in VPC Flow Logs. When the Runtime Monitoring agent is deployed onto an instance, the GuardDuty service still processes the VPC Flow Logs and DNS logs for that instance. If, at any point in time, an unauthorized user tampers with your security agent or an instance is deployed without the security agent, GuardDuty will continue to use VPC Flow Logs and DNS logs data to monitor for potential threats and suspicious activity, providing you defense in depth to help ensure you have visibility and coverage for detecting threats.\\\\\\\\n\\\\\\\\n> **Note**: GuardDuty doesn\\u2019t charge you for processing VPC Flow Logs while the Runtime Monitoring agent is active on an instance\\\",\\\"url\\\":\\\"https://aws.amazon.com/blogs/security/get-to-know-amazon-guardduty-runtime-monitoring-for-amazon-ec2/\\\"},{\\\"rank_order\\\":3,\\\"title\\\":\\\"How it works\\\",\\\"context\\\":\\\"# How it works\\\\\\\\n\\\\\\\\nTo use Runtime Monitoring, you must enable Runtime Monitoring and then manage the GuardDuty security agent. The\\\\\\\\nfollowing list explains this two-step process:\\\\\\\\n\\\\\\\\n1. **Enable Runtime Monitoring** for your account so that GuardDuty can accept\\\\\\\\n the runtime events that it receives from your Amazon EC2 instances, Amazon ECS clusters, and Amazon EKS\\\\\\\\n workloads.\\\\\\\\n2. **Manage GuardDuty agent** for the individual resources for which you\\\\\\\\n want to monitor the runtime behavior. Based on the resource type, you can choose to:\\\\\\\\n\\\\\\\\n * Use automated agent configuration, where GuardDuty manages the agent deployment and automatically creates a Amazon Virtual Private Cloud (Amazon VPC)\\\\\\\\n endpoint.\\\\\\\\n * Install agent manually, which requires you to create the VPC endpoint as a prerequisite.\\\\\\\\n\\\\\\\\n The security agent uses a VPC endpoint to deliver events to GuardDuty, ensuring that the data remains\\\\\\\\n within the AWS network. This approach enhances security and allows GuardDuty to monitor and analyze runtime behavior\\\\\\\\n across your resources (Amazon EKS, Amazon EC2, and AWS Fargate-Amazon ECS). GuardDuty uses Instance identity roles that authenticate the security agent for each resource type\\\\\\\\n to send the associated runtime events to the VPC endpoint.\\\\\\\\n\\\\\\\\n**Note:**\\\\\\\\n\\\\\\\\nGuardDuty analyzes runtime events in your AWS environment, uses them internally for threat detection, and presents the results through findings.\\\\\\\\n\\\\\\\\nWhen you manage the security agent (either manually or through GuardDuty) in EKS Runtime Monitoring\\\\\\\\nor Runtime Monitoring for EC2 instances, and\\\\\\\\nGuardDuty is presently deployed on an Amazon EC2 instance and receives\\\\\\\\nthe Collected runtime event\\\\\\\\ntypes from this instance, GuardDuty will not charge\\\\\\\\nyour AWS account for the analysis of VPC flow logs from this Amazon EC2 instance. This helps GuardDuty avoid double usage cost in the account.\\\\\\\\n\\\\\\\\nThe following topics explain how enabling Runtime Monitoring and managing GuardDuty security agent works\\\\\\\\ndifferently for each resource type.\\\\\\\\n\\\\\\\\n###### Contents\\\\\\\\n\\\\\\\\n* How Runtime Monitoring works with Amazon EKS clusters\\\\\\\\n* How Runtime Monitoring works with Amazon EC2 instances\\\\\\\\n* How Runtime Monitoring works with Fargate (Amazon ECS only)\\\\\\\\n* After you enable Runtime Monitoring\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/guardduty/latest/ug/how-does-runtime-monitoring-work.html\\\"}]}}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:16.392000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "a31cd97e-1806-4019-ab64-d8f8d1f2241b", + "executionId": "c2c808d8-cafd-4ff7-bea8-437bc77f01fa", + "recordId": "0222b79c-c914-41d4-aaca-a04c98062853", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 4.0, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:16.490000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "a31cd97e-1806-4019-ab64-d8f8d1f2241b", + "executionId": "c2c808d8-cafd-4ff7-bea8-437bc77f01fa", + "recordId": "4d6a3c36-291e-4774-97ab-1163b396d4bf", + "content": "{\"id\": \"4d6a3c36-291e-4774-97ab-1163b396d4bf\", \"role\": \"assistant\", \"content\": [{\"text\": \"A quick clarification first: I don't have a skill called \\\"GuardDuty cost optimization\\\" in my toolset, so this answer comes from AWS documentation rather than a skill of mine.\\n\\nHere's what the docs say about the relationship:\\n\\n- **No double-charging while the agent is active**: For any EC2 instance or EKS workload monitored by GuardDuty Runtime Monitoring, GuardDuty stops charging for VPC Flow Log processing on that instance as long as the runtime agent is actively sending event data. This avoids billing you twice for overlapping threat detection coverage.\\n- **Flow Logs are still processed, just not billed**: GuardDuty continues to ingest and analyze VPC Flow Logs and DNS logs for that instance in the background (as defense-in-depth), but you aren't charged for that processing while the agent is healthy and reporting.\\n- **Falls back if the agent goes dark**: If the agent stops transmitting runtime data \\u2014 whether from tampering, misconfiguration, or an instance running without the agent \\u2014 GuardDuty reverts to charging for VPC Flow Log processing on that instance.\\n- **Visible in usage metrics**: Enabling Runtime Monitoring will show up as a decrease in VPC Flow Logs usage in GuardDuty's CloudWatch usage metrics; disabling it restores that usage (and the associated charges).\\n\\nNet effect: Runtime Monitoring is a cost-optimization lever for accounts already paying for VPC Flow Log processing in GuardDuty \\u2014 it doesn't eliminate Flow Log *analysis*, just the *charge* for it, for as long as the agent stays active on that instance.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:16.573000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "a31cd97e-1806-4019-ab64-d8f8d1f2241b", + "executionId": "c2c808d8-cafd-4ff7-bea8-437bc77f01fa", + "recordId": "9090d788-b9a5-4ed0-956b-52c735646c15", + "content": "{\"id\": \"76d82efb-01ff-4c89-a2d5-ce23369f25d4\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"A quick clarification first: I don't have a skill called \\\"GuardDuty cost optimization\\\" in my toolset, so this answer comes from AWS documentation rather than a skill of mine.\\n\\nHere's what the docs say about the relationship:\\n\\n- **No double-charging while the agent is active**: For any EC2 instance or EKS workload monitored by GuardDuty Runtime Monitoring, GuardDuty stops charging for VPC Flow Log processing on that instance as long as the runtime agent is actively sending event data. This avoids billing you twice for overlapping threat detection coverage.\\n- **Flow Logs are still processed, just not billed**: GuardDuty continues to ingest and analyze VPC Flow Logs and DNS logs for that instance in the background (as defense-in-depth), but you aren't charged for that processing while the agent is healthy and reporting.\\n- **Falls back if the agent goes dark**: If the agent stops transmitting runtime data \\u2014 whether from tampering, misconfiguration, or an instance running without the agent \\u2014 GuardDuty reverts to charging for VPC Flow Log processing on that instance.\\n- **Visible in usage metrics**: Enabling Runtime Monitoring will show up as a decrease in VPC Flow Logs usage in GuardDuty's CloudWatch usage metrics; disabling it restores that usage (and the associated charges).\\n\\nNet effect: Runtime Monitoring is a cost-optimization lever for accounts already paying for VPC Flow Log processing in GuardDuty \\u2014 it doesn't eliminate Flow Log *analysis*, just the *charge* for it, for as long as the agent stays active on that instance.\"}]}", + "createdAt": "2026-09-29T09:16:16.672000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-security-tradeoff/with_skill/functional-tests-results.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-security-tradeoff/with_skill/functional-tests-results.json new file mode 100644 index 00000000..e1a24c6c --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-security-tradeoff/with_skill/functional-tests-results.json @@ -0,0 +1,65 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "guardduty-cost-security-tradeoff", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "passed", + "message": "Skill 'guardduty-cost-optimization' was triggered as expected", + "skill_loads_found": 1 + }, + "expected_output": { + "result": "passed", + "reasoning": "The agent's response directly states that the skill forbids recommending disabling a protection plan purely to save money, explains that GuardDuty is treated as a security control first, and requires every cost-reduction suggestion to be framed as a cost-vs-risk tradeoff citing the plan's finding activity, with the final security decision deferred to the user. This matches all elements of the expected output precisely.", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "The response states the skill should never recommend disabling a protection plan purely on cost", + "evaluator": "llm", + "passed": true, + "evidence": "\"No \u2014 the skill explicitly forbids recommending that a protection plan be disabled purely to save money.\"", + "reasoning": "The response directly and unambiguously states this at the start of the answer.", + "confidence": "high" + }, + { + "text": "The response frames any reduction as a cost-vs-risk / cost-vs-security tradeoff", + "evaluator": "llm", + "passed": true, + "evidence": "\"Every cost-reduction suggestion must be presented as a cost-vs-risk tradeoff, not a cost-only 'turn it off.'\" and later \"self-checks that 'every plan reduction is framed as a cost-vs-risk tradeoff citing that plan's finding activity (never a cost-only 'disable')'\"", + "reasoning": "The response explicitly and repeatedly frames reductions as cost-vs-risk tradeoffs, satisfying this assertion clearly.", + "confidence": "high" + }, + { + "text": "The response defers the security decision to the user (and/or ties it to the plan's finding activity)", + "evaluator": "llm", + "passed": true, + "evidence": "\"Cites that plan's actual finding activity as the value signal\" and \"Defers the final call to the user's security posture \u2014 the skill's job is to surface the tradeoff and quantify the saving, not to make the risk decision for them\"", + "reasoning": "The response explicitly ties recommendations to finding activity and states the decision is deferred to the user, satisfying both parts of the assertion.", + "confidence": "high" + } + ], + "summary": { + "passed": 3, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 3, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "12s", + "cost": "$0.10", + "context_window": { + "utilization": "4.4%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-security-tradeoff/with_skill/outputs/journal_records.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-security-tradeoff/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..c885b430 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-security-tradeoff/with_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "324c2a7d-020e-4785-9441-48b545eb7936", + "executionId": "4d07a275-fdb3-4ee2-9061-02ef7fc62568", + "recordId": "3616e1be-1288-4e91-9f63-76b636b4f75d", + "content": "{\"id\": \"3616e1be-1288-4e91-9f63-76b636b4f75d\", \"role\": \"user\", \"content\": [{\"text\": \"According to the GuardDuty cost optimization skill, should it ever recommend disabling a GuardDuty protection plan purely to save money? Explain the framing the skill requires. No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:01.211000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "324c2a7d-020e-4785-9441-48b545eb7936", + "executionId": "4d07a275-fdb3-4ee2-9061-02ef7fc62568", + "recordId": "6441aaea-7db5-4f43-92c1-36f121534753", + "content": "{\"id\": \"a070fa5a-2609-4014-abed-d18300c316b9\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"GuardDuty cost optimization skill disable protection framing\"}]}", + "createdAt": "2026-09-29T09:16:01.773000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "324c2a7d-020e-4785-9441-48b545eb7936", + "executionId": "4d07a275-fdb3-4ee2-9061-02ef7fc62568", + "recordId": "dc5c979b-9708-4c22-8397-e52f9f53e878", + "content": "{\"id\": \"dc5c979b-9708-4c22-8397-e52f9f53e878\", \"role\": \"assistant\", \"content\": [{\"id\": \"tooluse_7v8wEy1CwTCtl8cP5CFXrq\", \"tool_name\": \"skill_read\", \"input\": {\"skill_id\": \"guardduty-cost-optimization\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:05.918000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "324c2a7d-020e-4785-9441-48b545eb7936", + "executionId": "4d07a275-fdb3-4ee2-9061-02ef7fc62568", + "recordId": "31645cc5-52e9-427b-a55a-ab37b9362b8a", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:06.017000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "324c2a7d-020e-4785-9441-48b545eb7936", + "executionId": "4d07a275-fdb3-4ee2-9061-02ef7fc62568", + "recordId": "8a8609f5-5717-49ef-bc7b-27ddcf4172b2", + "content": "{\"id\": \"a31be215-e889-46a7-9be2-c1e4655b4f9e\", \"role\": \"assistant\", \"block_type\": \"load_skill\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_7v8wEy1CwTCtl8cP5CFXrq\", \"status\": \"success\", \"content\": [{\"text\": \"Done\"}]}], \"label\": \"Read the GuardDuty cost optimization skill instructions\"}", + "createdAt": "2026-09-29T09:16:06.132000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "324c2a7d-020e-4785-9441-48b545eb7936", + "executionId": "4d07a275-fdb3-4ee2-9061-02ef7fc62568", + "recordId": "7460bf64-6dbe-4b97-8c6f-713a6efaf7ff", + "content": "{\"id\": \"7460bf64-6dbe-4b97-8c6f-713a6efaf7ff\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_7v8wEy1CwTCtl8cP5CFXrq\", \"content\": \"[{'text': '{\\\"content\\\": \\\"---\\\\\\\\nname: guardduty-cost-optimization\\\\\\\\ndescription: Identify and quantify Amazon GuardDuty cost optimization opportunities.\\\\\\\\n Use this skill when a user asks to reduce, review, audit, or optimize GuardDuty\\\\\\\\n spend, or reports an unexpected GuardDuty cost increase or an expensive protection\\\\\\\\n plan. Activate on requests like \\\\\\\\\\\"why is my GuardDuty bill so high\\\\\\\\\\\", \\\\\\\\\\\"reduce\\\\\\\\n GuardDuty costs\\\\\\\\\\\", \\\\\\\\\\\"GuardDuty cost review\\\\\\\\\\\", \\\\\\\\\\\"which GuardDuty protection plan costs\\\\\\\\n the most\\\\\\\\\\\", \\\\\\\\\\\"is GuardDuty S3 Protection worth it\\\\\\\\\\\", or \\\\\\\\\\\"project my GuardDuty spend\\\\\\\\n after the free trial\\\\\\\\\\\". This skill analyzes enabled protection plans and their\\\\\\\\n per-data-source usage from the AWS/GuardDuty CloudWatch usage metrics through\\\\\\\\n read-only APIs to surface high-cost/low-signal protection plans, VPC-Flow-Log\\\\\\\\n charges offset by Runtime Monitoring, expensive S3/data-event analysis,\\\\\\\\n free-trial cost projection, and duplicate multi-account coverage, producing a\\\\\\\\n severity-ranked report of savings.\\\\\\\\nmetadata:\\\\\\\\n author: holmalla\\\\\\\\n version: \\\\\\\\\\\"1.1.0\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.agent-types: \\\\\\\\\\\"Chat tasks, Evaluation\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.aws-services: \\\\\\\\\\\"Amazon GuardDuty\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.technical-domains: \\\\\\\\\\\"Security, Cost Optimization\\\\\\\\\\\"\\\\\\\\n---\\\\\\\\n\\\\\\\\n# Amazon GuardDuty Cost Optimization\\\\\\\\n\\\\\\\\nIdentify, quantify, and prioritize Amazon GuardDuty cost optimization opportunities\\\\\\\\naligned with [Monitoring GuardDuty usage and estimating costs](https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html)\\\\\\\\nand [GuardDuty pricing](https://aws.amazon.com/guardduty/pricing/).\\\\\\\\n\\\\\\\\nThis skill uses **read-only GuardDuty, CloudWatch, and Organizations APIs only**. It\\\\\\\\nnever enables, disables, or reconfigures a detector or protection plan \\\\\\\\u2014 all\\\\\\\\nremediation is delivered as recommendations for a human to review and apply. It reads\\\\\\\\nusage metrics and findings statistics only; it does not read finding detail content.\\\\\\\\n\\\\\\\\n## When to Use\\\\\\\\n\\\\\\\\nActivate this skill when the user asks to:\\\\\\\\n- Reduce or optimize Amazon GuardDuty costs\\\\\\\\n- Investigate an unexpected GuardDuty cost increase\\\\\\\\n- Understand which protection plan or data source drives GuardDuty spend\\\\\\\\n- Decide whether a protection plan (S3 Protection, Runtime Monitoring, etc.) is worth its cost\\\\\\\\n- Project GuardDuty spend after the 30-day free trial\\\\\\\\n- Perform a GuardDuty cost review or FinOps assessment\\\\\\\\n\\\\\\\\n## How GuardDuty Billing Works\\\\\\\\n\\\\\\\\nThe pricing model is the foundation of every finding below. The essentials:\\\\\\\\n\\\\\\\\n- GuardDuty is pay-as-you-go, **per protection plan**, priced on the volume of data\\\\\\\\n each plan analyzes. There is no per-detector fee \\\\\\\\u2014 cost is driven entirely by\\\\\\\\n analyzed volume, and each plan meters on its own unit (counts, bytes, or vCPU/ACU\\\\\\\\n hours).\\\\\\\\n- **Runtime Monitoring offsets VPC Flow Log charges** \\\\\\\\u2014 for instances the Runtime\\\\\\\\n Monitoring agent covers, GuardDuty stops charging for VPC Flow Log processing. The\\\\\\\\n two line items trade against each other; size the net effect.\\\\\\\\n- **Your own log configuration does not reduce GuardDuty cost** \\\\\\\\u2014 GuardDuty ingests\\\\\\\\n from independent internal sources. The only cost lever is the GuardDuty\\\\\\\\n **protection-plan** configuration itself.\\\\\\\\n\\\\\\\\nFor the full per-plan metric/unit/pricing table, the two critical billing behaviors,\\\\\\\\nand byte-to-GB/TB conversions, load\\\\\\\\n[references/billing-model.md](references/billing-model.md) when identifying which plan\\\\\\\\ndrives a charge or reasoning about the Runtime Monitoring offset.\\\\\\\\n\\\\\\\\n## Workflow\\\\\\\\n\\\\\\\\nWork through these steps in order \\\\\\\\u2014 each depends on the output of the one before it.\\\\\\\\n\\\\\\\\n- [ ] **Step 1: Identify target scope.** Ask the user which accounts and Regions to\\\\\\\\n review, and whether this is a standalone account, a GuardDuty\\\\\\\\n delegated-administrator account, or a member account. Accept specific account IDs\\\\\\\\n and Regions, \\\\\\\\\\\"all regions\\\\\\\\\\\", or \\\\\\\\\\\"organization\\\\\\\\\\\". If no scope is given, default to the\\\\\\\\n current account across all Regions with a 30-day analysis window. Delegated-admin\\\\\\\\n accounts additionally receive **aggregated** organization usage metrics \\\\\\\\u2014 use them\\\\\\\\n for org-wide sizing.\\\\\\\\n\\\\\\\\n- [ ] **Step 2: Inventory detectors and protection plans.** Enumerate detectors,\\\\\\\\n enabled protection plans/features, Runtime Monitoring agent coverage, and (on a\\\\\\\\n delegated admin) member-account coverage, using read-only APIs. Also pull finding\\\\\\\\n statistics as the value signal. For the exact API calls and what each returns, load\\\\\\\\n [references/data-collection.md](references/data-collection.md).\\\\\\\\n\\\\\\\\n- [ ] **Step 3: Collect per-plan usage metrics.** Pull the `AWS/GuardDuty` usage\\\\\\\\n metrics via `cloudwatch.GetMetricData` broken down by the `DataSource` dimension\\\\\\\\n over the window (plus `AWS/GuardDuty/MalwareProtection` for S3 malware scans), and\\\\\\\\n prefer Cost Explorer as the dollar signal, reconciled against the usage metrics. The\\\\\\\\n exact metrics, dimensions, lag caveats, and unit conversions are in\\\\\\\\n [references/data-collection.md](references/data-collection.md). If neither Cost\\\\\\\\n Explorer nor usage metrics are available, still report configuration findings and\\\\\\\\n label dollar impact as \\\\\\\\\\\"not quantified \\\\\\\\u2014 enable Cost Explorer for sizing\\\\\\\\\\\".\\\\\\\\n\\\\\\\\n- [ ] **Step 4: Analyze cost optimization opportunities.** Rank each enabled\\\\\\\\n protection plan by its share of total GuardDuty spend, then evaluate the seven\\\\\\\\n opportunity checks (\\\\\\\\u00a74.1 high-cost/low-signal plans, \\\\\\\\u00a74.2 Runtime Monitoring \\\\\\\\u2194 VPC\\\\\\\\n Flow Log offset, \\\\\\\\u00a74.3 S3 Protection cost vs value, \\\\\\\\u00a74.4 Malware Protection for S3\\\\\\\\n scan volume, \\\\\\\\u00a74.5 free-trial cost projection, \\\\\\\\u00a74.6 duplicate/inconsistent\\\\\\\\n multi-account coverage, \\\\\\\\u00a74.7 Security Hub consolidated pricing). Load\\\\\\\\n [references/opportunities.md](references/opportunities.md) for the full check\\\\\\\\n definitions and severity guidance. **Frame every recommendation against security\\\\\\\\n value** \\\\\\\\u2014 never recommend disabling a plan purely on cost. Assign each finding a\\\\\\\\n severity (CRITICAL, HIGH, MEDIUM, LOW, INFO) and, where a usage/cost signal exists,\\\\\\\\n an estimated monthly saving.\\\\\\\\n\\\\\\\\n- [ ] **Step 5: Validate findings.** Before writing the report, self-check the\\\\\\\\n findings: confirm estimated savings sum correctly and each traces to a cited metric\\\\\\\\n or cost signal; confirm byte-to-GB/TB conversions are correct; confirm every plan\\\\\\\\n reduction is framed as a cost-vs-risk tradeoff citing that plan\\\\'s finding activity\\\\\\\\n (never a cost-only \\\\\\\\\\\"disable\\\\\\\\\\\"); confirm no VPC Flow Log saving ignores the Runtime\\\\\\\\n Monitoring offset; and confirm no mutation API was called. Drop or re-label any\\\\\\\\n finding that fails these checks.\\\\\\\\n\\\\\\\\n- [ ] **Step 6: Generate report.** Produce a shareable Markdown report artifact\\\\\\\\n following the structure, section order, and table schemas in\\\\\\\\n [assets/report-template.md](assets/report-template.md). Load that template when\\\\\\\\n generating the report.\\\\\\\\n\\\\\\\\n## Severity Definitions\\\\\\\\n\\\\\\\\n| Severity | Definition | SLA |\\\\\\\\n|----------|------------|-----|\\\\\\\\n| CRITICAL | Runaway cost causing large ongoing overspend | Fix within 24\\\\\\\\u201348 hours |\\\\\\\\n| HIGH | Clear, sizable recurring saving, or a time-boxed free-trial decision | Fix within 1 week |\\\\\\\\n| MEDIUM | Notable saving with a value tradeoff to weigh | Plan within 30 days |\\\\\\\\n| LOW | Minor saving or hygiene | Address when convenient |\\\\\\\\n| INFO | Observation, no action required | N/A |\\\\\\\\n\\\\\\\\n## Safety and Boundaries\\\\\\\\n\\\\\\\\n- **Read-only.** The skill calls only `List*`, `Get*`, `Describe*` APIs and CloudWatch\\\\\\\\n reads. It never calls `CreateDetector`, `UpdateDetector`, `DeleteDetector`,\\\\\\\\n `DisableOrganizationAdminAccount`, or any protection-plan mutation.\\\\\\\\n- **Security value first.** GuardDuty is a security control. Never recommend disabling\\\\\\\\n a protection plan purely on cost \\\\\\\\u2014 always frame it as a cost-vs-risk tradeoff, cite\\\\\\\\n the finding activity for that plan, and defer the decision to the user\\\\'s security\\\\\\\\n posture. Removing coverage can create undetected exposure.\\\\\\\\n- **Proposed changes are suggestions.** Every recommendation is for a human to review\\\\\\\\n and apply.\\\\\\\\n\\\\\\\\n## Known Quirks\\\\\\\\n\\\\\\\\n- **Your own log configuration does not change GuardDuty cost** \\\\\\\\u2014 do not recommend\\\\\\\\n turning off customer VPC Flow Logs, CloudTrail, or S3 data events to reduce\\\\\\\\n GuardDuty spend; GuardDuty reads independent internal sources. The lever is the\\\\\\\\n GuardDuty protection-plan config.\\\\\\\\n- **Runtime Monitoring and VPC Flow Log charges trade against each other** \\\\\\\\u2014 size the\\\\\\\\n net effect, not either line item alone. If the agent stops transmitting, VPC Flow\\\\\\\\n Log charges silently resume.\\\\\\\\n- Usage metrics lag up to ~24 hours and are hourly \\\\\\\\u2014 use a multi-day window, not a\\\\\\\\n single hour, for sizing.\\\\\\\\n- Byte-unit metrics must be converted to GB/TB to match pricing tiers.\\\\\\\\n- The 30-day free trial is **per account, per plan**, and its status is independent of\\\\\\\\n Security Hub integration \\\\\\\\u2014 enabling Security Hub does not grant, extend, or restart a\\\\\\\\n trial.\\\\\\\\n- Malware Protection for S3 lives in a **separate** CloudWatch namespace\\\\\\\\n (`AWS/GuardDuty/MalwareProtection`) from the other plans (`AWS/GuardDuty`).\\\\\\\\n\\\", \\\"resource_manifest\\\": [\\\"SKILL.md\\\", \\\"references/opportunities.md\\\", \\\"references/data-collection.md\\\", \\\"references/billing-model.md\\\", \\\"assets/report-template.md\\\"]}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:18.236000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "324c2a7d-020e-4785-9441-48b545eb7936", + "executionId": "4d07a275-fdb3-4ee2-9061-02ef7fc62568", + "recordId": "7720ffdd-a025-47ac-a76d-1ef66e0acc26", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 4.4, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:18.316000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "324c2a7d-020e-4785-9441-48b545eb7936", + "executionId": "4d07a275-fdb3-4ee2-9061-02ef7fc62568", + "recordId": "3492fb9e-5769-4cda-abb2-391966a15e45", + "content": "{\"id\": \"3492fb9e-5769-4cda-abb2-391966a15e45\", \"role\": \"assistant\", \"content\": [{\"text\": \"No \\u2014 the skill explicitly forbids recommending that a protection plan be disabled purely to save money.\\n\\n**The required framing:** GuardDuty is treated as a security control first, cost concern second. Every cost-reduction suggestion must be presented as a **cost-vs-risk tradeoff**, not a cost-only \\\"turn it off.\\\" Concretely, the skill requires that any finding suggesting a plan reduction:\\n\\n- **Cites that plan's actual finding activity** as the value signal (not just its cost) \\u2014 so the user can see what they'd be giving up, not just what they'd save\\n- **Defers the final call to the user's security posture** \\u2014 the skill's job is to surface the tradeoff and quantify the saving, not to make the risk decision for them\\n- Is delivered strictly as a **suggestion for a human to review and apply** \\u2014 the skill never mutates any detector or protection-plan config itself (read-only APIs only)\\n\\nIt also builds in a validation step before any report goes out: it self-checks that \\\"every plan reduction is framed as a cost-vs-risk tradeoff citing that plan's finding activity (never a cost-only 'disable'),\\\" and drops or re-labels any finding that fails that check.\\n\\nTwo related guardrails reinforce this:\\n- It won't recommend turning off the user's own VPC Flow Logs/CloudTrail/S3 data events to cut GuardDuty spend, since those don't actually affect GuardDuty billing (GuardDuty reads independent internal sources).\\n- For Runtime Monitoring vs. VPC Flow Log costs, it requires sizing the *net* effect of both line items together, since disabling one silently resumes charges on the other \\u2014 again preventing a naive cost-only recommendation.\\n\\nSo the underlying principle: cost optimization findings should quantify savings and flag low-signal spend, but the decision to actually reduce security coverage is explicitly left to the human, with the risk context always attached.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:18.391000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "324c2a7d-020e-4785-9441-48b545eb7936", + "executionId": "4d07a275-fdb3-4ee2-9061-02ef7fc62568", + "recordId": "2161dfcc-9377-48d6-9645-14ae8271431c", + "content": "{\"id\": \"c86348e8-299e-4cbf-bbc0-b73a6da0e888\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"No \\u2014 the skill explicitly forbids recommending that a protection plan be disabled purely to save money.\\n\\n**The required framing:** GuardDuty is treated as a security control first, cost concern second. Every cost-reduction suggestion must be presented as a **cost-vs-risk tradeoff**, not a cost-only \\\"turn it off.\\\" Concretely, the skill requires that any finding suggesting a plan reduction:\\n\\n- **Cites that plan's actual finding activity** as the value signal (not just its cost) \\u2014 so the user can see what they'd be giving up, not just what they'd save\\n- **Defers the final call to the user's security posture** \\u2014 the skill's job is to surface the tradeoff and quantify the saving, not to make the risk decision for them\\n- Is delivered strictly as a **suggestion for a human to review and apply** \\u2014 the skill never mutates any detector or protection-plan config itself (read-only APIs only)\\n\\nIt also builds in a validation step before any report goes out: it self-checks that \\\"every plan reduction is framed as a cost-vs-risk tradeoff citing that plan's finding activity (never a cost-only 'disable'),\\\" and drops or re-labels any finding that fails that check.\\n\\nTwo related guardrails reinforce this:\\n- It won't recommend turning off the user's own VPC Flow Logs/CloudTrail/S3 data events to cut GuardDuty spend, since those don't actually affect GuardDuty billing (GuardDuty reads independent internal sources).\\n- For Runtime Monitoring vs. VPC Flow Log costs, it requires sizing the *net* effect of both line items together, since disabling one silently resumes charges on the other \\u2014 again preventing a naive cost-only recommendation.\\n\\nSo the underlying principle: cost optimization findings should quantify savings and flag low-signal spend, but the decision to actually reduce security coverage is explicitly left to the human, with the risk context always attached.\"}]}", + "createdAt": "2026-09-29T09:16:18.475000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-security-tradeoff/without_skill/functional-tests-results.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-security-tradeoff/without_skill/functional-tests-results.json new file mode 100644 index 00000000..b2bd098b --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-security-tradeoff/without_skill/functional-tests-results.json @@ -0,0 +1,54 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "guardduty-cost-security-tradeoff", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "failed", + "reasoning": "No FinalResponse found in chat output. The agent may not have produced a final response." + }, + "assertions": { + "assertion_results": [ + { + "text": "The response states the skill should never recommend disabling a protection plan purely on cost", + "evaluator": "llm", + "passed": null, + "error": "No FinalResponse found in chat output, so no assertion could be checked." + }, + { + "text": "The response frames any reduction as a cost-vs-risk / cost-vs-security tradeoff", + "evaluator": "llm", + "passed": null, + "error": "No FinalResponse found in chat output, so no assertion could be checked." + }, + { + "text": "The response defers the security decision to the user (and/or ties it to the plan's finding activity)", + "evaluator": "llm", + "passed": null, + "error": "No FinalResponse found in chat output, so no assertion could be checked." + } + ], + "summary": { + "passed": 0, + "failed": 0, + "errored": 3, + "low_confidence": 0, + "total": 0, + "pass_rate": 0.0 + } + } + }, + "metrics": { + "runtime": "0s", + "cost": "$0.00", + "context_window": { + "utilization": "3.6%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-security-tradeoff/without_skill/outputs/journal_records.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-security-tradeoff/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..53f8eabe --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-security-tradeoff/without_skill/outputs/journal_records.json @@ -0,0 +1,34 @@ +[ + { + "agentSpaceId": "cb78bd71-2da7-4268-9475-a956596a9207", + "executionId": "9c37fff0-2275-4f87-bba7-a93544e2df31", + "recordId": "b0c01201-0926-4965-8430-5700604e6bd8", + "content": "{\"id\": \"b0c01201-0926-4965-8430-5700604e6bd8\", \"role\": \"user\", \"content\": [{\"text\": \"According to the GuardDuty cost optimization skill, should it ever recommend disabling a GuardDuty protection plan purely to save money? Explain the framing the skill requires. No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:00.916000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "cb78bd71-2da7-4268-9475-a956596a9207", + "executionId": "9c37fff0-2275-4f87-bba7-a93544e2df31", + "recordId": "8b33e144-e1d1-44e5-b2b2-1d66a4bbef5c", + "content": "{\"id\": \"86cce719-a3d4-4673-a3e6-8fcb83a88bda\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"GuardDuty cost optimization protection plan recommendations\"}]}", + "createdAt": "2026-09-29T09:16:01.477000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "cb78bd71-2da7-4268-9475-a956596a9207", + "executionId": "9c37fff0-2275-4f87-bba7-a93544e2df31", + "recordId": "14843a35-529a-492c-b01b-140c1f6e46ab", + "content": "{\"id\": \"14843a35-529a-492c-b01b-140c1f6e46ab\", \"role\": \"assistant\", \"content\": [{\"text\": \"I don't have a \\\"GuardDuty cost optimization\\\" skill in my available skill set \\u2014 let me make sure I'm not missing something before I answer.\", \"type\": \"text\"}, {\"id\": \"tooluse_1DtNUgF9QDBpyfxFAVUPde\", \"tool_name\": \"ask_user\", \"input\": {\"question\": \"I don't see a GuardDuty cost optimization skill in my toolset. What would you like to do?\", \"options\": [{\"label\": \"Check general recommendations for GuardDuty items\", \"description\": \"Look through existing recommendations for any GuardDuty cost-related guidance\"}, {\"label\": \"Look up AWS documentation on GuardDuty cost optimization\", \"description\": \"Search published AWS docs for official guidance on this topic\"}]}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:08.003000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "cb78bd71-2da7-4268-9475-a956596a9207", + "executionId": "9c37fff0-2275-4f87-bba7-a93544e2df31", + "recordId": "d4acecbf-a0cb-489a-8780-3b40439d5593", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:08.113000-04:00", + "recordType": "utilization" + } +] \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-severity-definitions/with_skill/functional-tests-results.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-severity-definitions/with_skill/functional-tests-results.json new file mode 100644 index 00000000..2bde2d9e --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-severity-definitions/with_skill/functional-tests-results.json @@ -0,0 +1,80 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "guardduty-cost-severity-definitions", + "run_type": "with_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": { + "result": "passed", + "message": "Skill 'guardduty-cost-optimization' was triggered as expected", + "skill_loads_found": 1 + }, + "expected_output": { + "result": "passed", + "reasoning": "The agent's response lists the five severity levels in the exact order specified: CRITICAL, HIGH, MEDIUM, LOW, INFO, from most to least urgent, matching the expected output.", + "evidence": "\"1. **CRITICAL** ... 2. **HIGH** ... 3. **MEDIUM** ... 4. **LOW** ... 5. **INFO** \u2014 Observation only, no action required\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "lists CRITICAL", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'CRITICAL'" + }, + { + "text": "lists HIGH", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'HIGH'" + }, + { + "text": "lists MEDIUM", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'MEDIUM'" + }, + { + "text": "lists LOW", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'LOW'" + }, + { + "text": "lists INFO", + "evaluator": "regex", + "passed": true, + "evidence": "Matched 'INFO'" + }, + { + "text": "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)", + "evaluator": "llm", + "passed": true, + "evidence": "The response lists: 1. CRITICAL, 2. HIGH, 3. MEDIUM, 4. LOW, 5. INFO \u2014 this is a correctly ordered sequence from most urgent (CRITICAL) to least urgent (INFO).", + "reasoning": "The assertion requires the five severity levels to be listed in order from most to least urgent, starting with CRITICAL and ending with INFO. The agent's output explicitly numbers them 1 through 5 in exactly that order: CRITICAL, HIGH, MEDIUM, LOW, INFO, which matches the expected ordering.", + "confidence": "high" + } + ], + "summary": { + "passed": 6, + "failed": 0, + "errored": 0, + "low_confidence": 0, + "total": 6, + "pass_rate": 1.0 + } + } + }, + "metrics": { + "runtime": "4s", + "cost": "$0.04", + "context_window": { + "utilization": "4.4%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-severity-definitions/with_skill/outputs/journal_records.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-severity-definitions/with_skill/outputs/journal_records.json new file mode 100644 index 00000000..ed70ea5f --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-severity-definitions/with_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "12526279-1720-404c-b374-e2b081a93e4d", + "executionId": "72c756a2-e1c5-4734-a74c-fdf2645fac4b", + "recordId": "0b0c38b3-668f-4dc6-a7e2-f629b38b7580", + "content": "{\"id\": \"0b0c38b3-668f-4dc6-a7e2-f629b38b7580\", \"role\": \"user\", \"content\": [{\"text\": \"List the five severity levels the Amazon GuardDuty cost optimization skill uses for its findings, in order from most to least urgent. No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:02.269000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "12526279-1720-404c-b374-e2b081a93e4d", + "executionId": "72c756a2-e1c5-4734-a74c-fdf2645fac4b", + "recordId": "7256790b-e979-4b6f-b4b6-59afbb1df7d5", + "content": "{\"id\": \"6bca9f27-083c-414c-817a-61741d90020e\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"GuardDuty cost optimization severity levels\"}]}", + "createdAt": "2026-09-29T09:16:02.924000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "12526279-1720-404c-b374-e2b081a93e4d", + "executionId": "72c756a2-e1c5-4734-a74c-fdf2645fac4b", + "recordId": "885e0533-0771-4e01-b2c5-2ae97553c594", + "content": "{\"id\": \"885e0533-0771-4e01-b2c5-2ae97553c594\", \"role\": \"assistant\", \"content\": [{\"id\": \"tooluse_v6Ql7FPsL1ZTX2JdACGH9j\", \"tool_name\": \"skill_read\", \"input\": {\"skill_id\": \"guardduty-cost-optimization\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:07.946000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "12526279-1720-404c-b374-e2b081a93e4d", + "executionId": "72c756a2-e1c5-4734-a74c-fdf2645fac4b", + "recordId": "676ae3a2-754d-405b-a3ba-37953d46b734", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:08.020000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "12526279-1720-404c-b374-e2b081a93e4d", + "executionId": "72c756a2-e1c5-4734-a74c-fdf2645fac4b", + "recordId": "3c564947-3c84-4450-9436-4ba23760a48c", + "content": "{\"id\": \"d7649418-0ce9-4684-be9f-471fc3d877cd\", \"role\": \"assistant\", \"block_type\": \"load_skill\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_v6Ql7FPsL1ZTX2JdACGH9j\", \"status\": \"success\", \"content\": [{\"text\": \"Done\"}]}], \"label\": \"Read the GuardDuty cost optimization skill instructions\"}", + "createdAt": "2026-09-29T09:16:08.129000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "12526279-1720-404c-b374-e2b081a93e4d", + "executionId": "72c756a2-e1c5-4734-a74c-fdf2645fac4b", + "recordId": "da394f6f-3483-4bb1-baca-f104e0e5f98a", + "content": "{\"id\": \"da394f6f-3483-4bb1-baca-f104e0e5f98a\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_v6Ql7FPsL1ZTX2JdACGH9j\", \"content\": \"[{'text': '{\\\"content\\\": \\\"---\\\\\\\\nname: guardduty-cost-optimization\\\\\\\\ndescription: Identify and quantify Amazon GuardDuty cost optimization opportunities.\\\\\\\\n Use this skill when a user asks to reduce, review, audit, or optimize GuardDuty\\\\\\\\n spend, or reports an unexpected GuardDuty cost increase or an expensive protection\\\\\\\\n plan. Activate on requests like \\\\\\\\\\\"why is my GuardDuty bill so high\\\\\\\\\\\", \\\\\\\\\\\"reduce\\\\\\\\n GuardDuty costs\\\\\\\\\\\", \\\\\\\\\\\"GuardDuty cost review\\\\\\\\\\\", \\\\\\\\\\\"which GuardDuty protection plan costs\\\\\\\\n the most\\\\\\\\\\\", \\\\\\\\\\\"is GuardDuty S3 Protection worth it\\\\\\\\\\\", or \\\\\\\\\\\"project my GuardDuty spend\\\\\\\\n after the free trial\\\\\\\\\\\". This skill analyzes enabled protection plans and their\\\\\\\\n per-data-source usage from the AWS/GuardDuty CloudWatch usage metrics through\\\\\\\\n read-only APIs to surface high-cost/low-signal protection plans, VPC-Flow-Log\\\\\\\\n charges offset by Runtime Monitoring, expensive S3/data-event analysis,\\\\\\\\n free-trial cost projection, and duplicate multi-account coverage, producing a\\\\\\\\n severity-ranked report of savings.\\\\\\\\nmetadata:\\\\\\\\n author: holmalla\\\\\\\\n version: \\\\\\\\\\\"1.1.0\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.agent-types: \\\\\\\\\\\"Chat tasks, Evaluation\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.aws-services: \\\\\\\\\\\"Amazon GuardDuty\\\\\\\\\\\"\\\\\\\\n aws-devops-agent-skills.technical-domains: \\\\\\\\\\\"Security, Cost Optimization\\\\\\\\\\\"\\\\\\\\n---\\\\\\\\n\\\\\\\\n# Amazon GuardDuty Cost Optimization\\\\\\\\n\\\\\\\\nIdentify, quantify, and prioritize Amazon GuardDuty cost optimization opportunities\\\\\\\\naligned with [Monitoring GuardDuty usage and estimating costs](https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html)\\\\\\\\nand [GuardDuty pricing](https://aws.amazon.com/guardduty/pricing/).\\\\\\\\n\\\\\\\\nThis skill uses **read-only GuardDuty, CloudWatch, and Organizations APIs only**. It\\\\\\\\nnever enables, disables, or reconfigures a detector or protection plan \\\\\\\\u2014 all\\\\\\\\nremediation is delivered as recommendations for a human to review and apply. It reads\\\\\\\\nusage metrics and findings statistics only; it does not read finding detail content.\\\\\\\\n\\\\\\\\n## When to Use\\\\\\\\n\\\\\\\\nActivate this skill when the user asks to:\\\\\\\\n- Reduce or optimize Amazon GuardDuty costs\\\\\\\\n- Investigate an unexpected GuardDuty cost increase\\\\\\\\n- Understand which protection plan or data source drives GuardDuty spend\\\\\\\\n- Decide whether a protection plan (S3 Protection, Runtime Monitoring, etc.) is worth its cost\\\\\\\\n- Project GuardDuty spend after the 30-day free trial\\\\\\\\n- Perform a GuardDuty cost review or FinOps assessment\\\\\\\\n\\\\\\\\n## How GuardDuty Billing Works\\\\\\\\n\\\\\\\\nThe pricing model is the foundation of every finding below. The essentials:\\\\\\\\n\\\\\\\\n- GuardDuty is pay-as-you-go, **per protection plan**, priced on the volume of data\\\\\\\\n each plan analyzes. There is no per-detector fee \\\\\\\\u2014 cost is driven entirely by\\\\\\\\n analyzed volume, and each plan meters on its own unit (counts, bytes, or vCPU/ACU\\\\\\\\n hours).\\\\\\\\n- **Runtime Monitoring offsets VPC Flow Log charges** \\\\\\\\u2014 for instances the Runtime\\\\\\\\n Monitoring agent covers, GuardDuty stops charging for VPC Flow Log processing. The\\\\\\\\n two line items trade against each other; size the net effect.\\\\\\\\n- **Your own log configuration does not reduce GuardDuty cost** \\\\\\\\u2014 GuardDuty ingests\\\\\\\\n from independent internal sources. The only cost lever is the GuardDuty\\\\\\\\n **protection-plan** configuration itself.\\\\\\\\n\\\\\\\\nFor the full per-plan metric/unit/pricing table, the two critical billing behaviors,\\\\\\\\nand byte-to-GB/TB conversions, load\\\\\\\\n[references/billing-model.md](references/billing-model.md) when identifying which plan\\\\\\\\ndrives a charge or reasoning about the Runtime Monitoring offset.\\\\\\\\n\\\\\\\\n## Workflow\\\\\\\\n\\\\\\\\nWork through these steps in order \\\\\\\\u2014 each depends on the output of the one before it.\\\\\\\\n\\\\\\\\n- [ ] **Step 1: Identify target scope.** Ask the user which accounts and Regions to\\\\\\\\n review, and whether this is a standalone account, a GuardDuty\\\\\\\\n delegated-administrator account, or a member account. Accept specific account IDs\\\\\\\\n and Regions, \\\\\\\\\\\"all regions\\\\\\\\\\\", or \\\\\\\\\\\"organization\\\\\\\\\\\". If no scope is given, default to the\\\\\\\\n current account across all Regions with a 30-day analysis window. Delegated-admin\\\\\\\\n accounts additionally receive **aggregated** organization usage metrics \\\\\\\\u2014 use them\\\\\\\\n for org-wide sizing.\\\\\\\\n\\\\\\\\n- [ ] **Step 2: Inventory detectors and protection plans.** Enumerate detectors,\\\\\\\\n enabled protection plans/features, Runtime Monitoring agent coverage, and (on a\\\\\\\\n delegated admin) member-account coverage, using read-only APIs. Also pull finding\\\\\\\\n statistics as the value signal. For the exact API calls and what each returns, load\\\\\\\\n [references/data-collection.md](references/data-collection.md).\\\\\\\\n\\\\\\\\n- [ ] **Step 3: Collect per-plan usage metrics.** Pull the `AWS/GuardDuty` usage\\\\\\\\n metrics via `cloudwatch.GetMetricData` broken down by the `DataSource` dimension\\\\\\\\n over the window (plus `AWS/GuardDuty/MalwareProtection` for S3 malware scans), and\\\\\\\\n prefer Cost Explorer as the dollar signal, reconciled against the usage metrics. The\\\\\\\\n exact metrics, dimensions, lag caveats, and unit conversions are in\\\\\\\\n [references/data-collection.md](references/data-collection.md). If neither Cost\\\\\\\\n Explorer nor usage metrics are available, still report configuration findings and\\\\\\\\n label dollar impact as \\\\\\\\\\\"not quantified \\\\\\\\u2014 enable Cost Explorer for sizing\\\\\\\\\\\".\\\\\\\\n\\\\\\\\n- [ ] **Step 4: Analyze cost optimization opportunities.** Rank each enabled\\\\\\\\n protection plan by its share of total GuardDuty spend, then evaluate the seven\\\\\\\\n opportunity checks (\\\\\\\\u00a74.1 high-cost/low-signal plans, \\\\\\\\u00a74.2 Runtime Monitoring \\\\\\\\u2194 VPC\\\\\\\\n Flow Log offset, \\\\\\\\u00a74.3 S3 Protection cost vs value, \\\\\\\\u00a74.4 Malware Protection for S3\\\\\\\\n scan volume, \\\\\\\\u00a74.5 free-trial cost projection, \\\\\\\\u00a74.6 duplicate/inconsistent\\\\\\\\n multi-account coverage, \\\\\\\\u00a74.7 Security Hub consolidated pricing). Load\\\\\\\\n [references/opportunities.md](references/opportunities.md) for the full check\\\\\\\\n definitions and severity guidance. **Frame every recommendation against security\\\\\\\\n value** \\\\\\\\u2014 never recommend disabling a plan purely on cost. Assign each finding a\\\\\\\\n severity (CRITICAL, HIGH, MEDIUM, LOW, INFO) and, where a usage/cost signal exists,\\\\\\\\n an estimated monthly saving.\\\\\\\\n\\\\\\\\n- [ ] **Step 5: Validate findings.** Before writing the report, self-check the\\\\\\\\n findings: confirm estimated savings sum correctly and each traces to a cited metric\\\\\\\\n or cost signal; confirm byte-to-GB/TB conversions are correct; confirm every plan\\\\\\\\n reduction is framed as a cost-vs-risk tradeoff citing that plan\\\\'s finding activity\\\\\\\\n (never a cost-only \\\\\\\\\\\"disable\\\\\\\\\\\"); confirm no VPC Flow Log saving ignores the Runtime\\\\\\\\n Monitoring offset; and confirm no mutation API was called. Drop or re-label any\\\\\\\\n finding that fails these checks.\\\\\\\\n\\\\\\\\n- [ ] **Step 6: Generate report.** Produce a shareable Markdown report artifact\\\\\\\\n following the structure, section order, and table schemas in\\\\\\\\n [assets/report-template.md](assets/report-template.md). Load that template when\\\\\\\\n generating the report.\\\\\\\\n\\\\\\\\n## Severity Definitions\\\\\\\\n\\\\\\\\n| Severity | Definition | SLA |\\\\\\\\n|----------|------------|-----|\\\\\\\\n| CRITICAL | Runaway cost causing large ongoing overspend | Fix within 24\\\\\\\\u201348 hours |\\\\\\\\n| HIGH | Clear, sizable recurring saving, or a time-boxed free-trial decision | Fix within 1 week |\\\\\\\\n| MEDIUM | Notable saving with a value tradeoff to weigh | Plan within 30 days |\\\\\\\\n| LOW | Minor saving or hygiene | Address when convenient |\\\\\\\\n| INFO | Observation, no action required | N/A |\\\\\\\\n\\\\\\\\n## Safety and Boundaries\\\\\\\\n\\\\\\\\n- **Read-only.** The skill calls only `List*`, `Get*`, `Describe*` APIs and CloudWatch\\\\\\\\n reads. It never calls `CreateDetector`, `UpdateDetector`, `DeleteDetector`,\\\\\\\\n `DisableOrganizationAdminAccount`, or any protection-plan mutation.\\\\\\\\n- **Security value first.** GuardDuty is a security control. Never recommend disabling\\\\\\\\n a protection plan purely on cost \\\\\\\\u2014 always frame it as a cost-vs-risk tradeoff, cite\\\\\\\\n the finding activity for that plan, and defer the decision to the user\\\\'s security\\\\\\\\n posture. Removing coverage can create undetected exposure.\\\\\\\\n- **Proposed changes are suggestions.** Every recommendation is for a human to review\\\\\\\\n and apply.\\\\\\\\n\\\\\\\\n## Known Quirks\\\\\\\\n\\\\\\\\n- **Your own log configuration does not change GuardDuty cost** \\\\\\\\u2014 do not recommend\\\\\\\\n turning off customer VPC Flow Logs, CloudTrail, or S3 data events to reduce\\\\\\\\n GuardDuty spend; GuardDuty reads independent internal sources. The lever is the\\\\\\\\n GuardDuty protection-plan config.\\\\\\\\n- **Runtime Monitoring and VPC Flow Log charges trade against each other** \\\\\\\\u2014 size the\\\\\\\\n net effect, not either line item alone. If the agent stops transmitting, VPC Flow\\\\\\\\n Log charges silently resume.\\\\\\\\n- Usage metrics lag up to ~24 hours and are hourly \\\\\\\\u2014 use a multi-day window, not a\\\\\\\\n single hour, for sizing.\\\\\\\\n- Byte-unit metrics must be converted to GB/TB to match pricing tiers.\\\\\\\\n- The 30-day free trial is **per account, per plan**, and its status is independent of\\\\\\\\n Security Hub integration \\\\\\\\u2014 enabling Security Hub does not grant, extend, or restart a\\\\\\\\n trial.\\\\\\\\n- Malware Protection for S3 lives in a **separate** CloudWatch namespace\\\\\\\\n (`AWS/GuardDuty/MalwareProtection`) from the other plans (`AWS/GuardDuty`).\\\\\\\\n\\\", \\\"resource_manifest\\\": [\\\"SKILL.md\\\", \\\"references/opportunities.md\\\", \\\"references/data-collection.md\\\", \\\"references/billing-model.md\\\", \\\"assets/report-template.md\\\"]}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:12.782000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "12526279-1720-404c-b374-e2b081a93e4d", + "executionId": "72c756a2-e1c5-4734-a74c-fdf2645fac4b", + "recordId": "fa209db0-3c06-4b1e-afa5-e6c257df5ecf", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 4.4, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:12.883000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "12526279-1720-404c-b374-e2b081a93e4d", + "executionId": "72c756a2-e1c5-4734-a74c-fdf2645fac4b", + "recordId": "33900744-7fdb-4685-99f5-b49aab0079f9", + "content": "{\"id\": \"33900744-7fdb-4685-99f5-b49aab0079f9\", \"role\": \"assistant\", \"content\": [{\"text\": \"The five severity levels, from most to least urgent:\\n\\n1. **CRITICAL** \\u2014 Runaway cost causing large ongoing overspend (fix within 24\\u201348 hours)\\n2. **HIGH** \\u2014 Clear, sizable recurring saving, or a time-boxed free-trial decision (fix within 1 week)\\n3. **MEDIUM** \\u2014 Notable saving with a value tradeoff to weigh (plan within 30 days)\\n4. **LOW** \\u2014 Minor saving or hygiene (address when convenient)\\n5. **INFO** \\u2014 Observation only, no action required\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:12.978000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "12526279-1720-404c-b374-e2b081a93e4d", + "executionId": "72c756a2-e1c5-4734-a74c-fdf2645fac4b", + "recordId": "74099ac2-299c-4802-bc76-04b97030c10c", + "content": "{\"id\": \"c142f7c0-4691-4ad2-96ed-0f73c5943f63\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"The five severity levels, from most to least urgent:\\n\\n1. **CRITICAL** \\u2014 Runaway cost causing large ongoing overspend (fix within 24\\u201348 hours)\\n2. **HIGH** \\u2014 Clear, sizable recurring saving, or a time-boxed free-trial decision (fix within 1 week)\\n3. **MEDIUM** \\u2014 Notable saving with a value tradeoff to weigh (plan within 30 days)\\n4. **LOW** \\u2014 Minor saving or hygiene (address when convenient)\\n5. **INFO** \\u2014 Observation only, no action required\"}]}", + "createdAt": "2026-09-29T09:16:13.054000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-severity-definitions/without_skill/functional-tests-results.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-severity-definitions/without_skill/functional-tests-results.json new file mode 100644 index 00000000..1571382c --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-severity-definitions/without_skill/functional-tests-results.json @@ -0,0 +1,76 @@ +{ + "version": "v1", + "iteration": 1, + "eval_id": "guardduty-cost-severity-definitions", + "run_type": "without_skill", + "success": true, + "error": null, + "understanding_agent_space_skill": null, + "tests": { + "trigger": null, + "expected_output": { + "result": "failed", + "reasoning": "The expected output requires the agent to list CRITICAL, HIGH, MEDIUM, LOW, INFO in that order. Instead, the agent claimed there are only four severity levels (Critical, High, Medium, Low) and did not provide the five-level list, expressing uncertainty and asking for clarification rather than delivering the expected answer.", + "evidence": "\"general GuardDuty documentation only defines four severity levels for findings \u2014 not five: Critical, High, Medium, and Low.\" and \"I can't find a five-level breakdown in AWS's published GuardDuty documentation.\"", + "confidence": "high" + }, + "assertions": { + "assertion_results": [ + { + "text": "lists CRITICAL", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + }, + { + "text": "lists HIGH", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + }, + { + "text": "lists MEDIUM", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + }, + { + "text": "lists LOW", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + }, + { + "text": "lists INFO", + "evaluator": "regex", + "passed": false, + "evidence": "Pattern not found in the output" + }, + { + "text": "The five severity levels are given in order from most to least urgent (CRITICAL first, INFO last)", + "evaluator": "llm", + "passed": false, + "evidence": "The agent's response does not provide five severity levels at all. It states: 'general GuardDuty documentation only defines four severity levels for findings \u2014 not five: Critical, High, Medium, and Low' and asks the user for clarification instead of listing CRITICAL through INFO in order.", + "reasoning": "The assertion requires five severity levels listed from most to least urgent ending in INFO. The agent explicitly declines to provide this, citing only four levels (Critical, High, Medium, Low) and never mentions INFO or a fifth level. Therefore the assertion is not satisfied.", + "confidence": "high" + } + ], + "summary": { + "passed": 0, + "failed": 6, + "errored": 0, + "low_confidence": 0, + "total": 6, + "pass_rate": 0.0 + } + } + }, + "metrics": { + "runtime": "5s", + "cost": "$0.05", + "context_window": { + "utilization": "3.9%", + "compaction_count": 0 + } + } +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-severity-definitions/without_skill/outputs/journal_records.json b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-severity-definitions/without_skill/outputs/journal_records.json new file mode 100644 index 00000000..f6476bc7 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/functional/v1/iteration-1/guardduty-cost-severity-definitions/without_skill/outputs/journal_records.json @@ -0,0 +1,74 @@ +[ + { + "agentSpaceId": "9de666e8-511c-400f-a5e2-e328e6026ad7", + "executionId": "f6ee80b2-04f7-4378-858c-5e292defe915", + "recordId": "1d18849e-04e0-4412-8f7c-4841e903fc89", + "content": "{\"id\": \"1d18849e-04e0-4412-8f7c-4841e903fc89\", \"role\": \"user\", \"content\": [{\"text\": \"List the five severity levels the Amazon GuardDuty cost optimization skill uses for its findings, in order from most to least urgent. No account access required.\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:00.650000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "9de666e8-511c-400f-a5e2-e328e6026ad7", + "executionId": "f6ee80b2-04f7-4378-858c-5e292defe915", + "recordId": "8d5c4d27-100b-49b3-8bf1-fb2c39fe4b9e", + "content": "{\"id\": \"f8751ad6-6fbd-4a9c-aadb-856010bb4dc0\", \"role\": \"assistant\", \"content\": [{\"type\": \"chat_title\", \"title\": \"GuardDuty cost optimization severity levels\"}]}", + "createdAt": "2026-09-29T09:16:01.349000-04:00", + "recordType": "chat_title" + }, + { + "agentSpaceId": "9de666e8-511c-400f-a5e2-e328e6026ad7", + "executionId": "f6ee80b2-04f7-4378-858c-5e292defe915", + "recordId": "8de531a4-94db-4c8e-8d02-483714f25ad0", + "content": "{\"id\": \"8de531a4-94db-4c8e-8d02-483714f25ad0\", \"role\": \"assistant\", \"content\": [{\"id\": \"tooluse_mU7F3dIIT05h7NQRCPgKDV\", \"tool_name\": \"verify_aws_claim\", \"input\": {\"claim\": \"Amazon GuardDuty cost optimization skill severity levels for findings\"}, \"type\": \"tool_use\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:04.533000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "9de666e8-511c-400f-a5e2-e328e6026ad7", + "executionId": "f6ee80b2-04f7-4378-858c-5e292defe915", + "recordId": "bc6c8079-bc60-41de-bdad-90663d60d1e0", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.6, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:04.626000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "9de666e8-511c-400f-a5e2-e328e6026ad7", + "executionId": "f6ee80b2-04f7-4378-858c-5e292defe915", + "recordId": "1597fcd1-f97e-4656-a8e1-2dc39d07489c", + "content": "{\"id\": \"b95580ca-d8d0-4ad2-8559-880de7a9c240\", \"role\": \"assistant\", \"block_type\": \"tool_summary\", \"content\": [{\"type\": \"tool_result\", \"tool_use_id\": \"tooluse_mU7F3dIIT05h7NQRCPgKDV\", \"status\": \"success\", \"content\": [{\"text\": \"{\\\"content\\\":{\\\"result\\\":[{\\\"rank_order\\\":1,\\\"title\\\":\\\"Severity levels of GuardDuty findings\\\",\\\"context\\\":\\\"# Severity levels of GuardDuty findings\\\\n\\\\nEach GuardDuty finding has an assigned severity level and value that reflects the\\\\npotential risk the finding could have to your environment, as determined by our security\\\\nengineers. The value of the severity can fall anywhere within the 1.0 to 10.0 range, with\\\\nhigher values indicating greater security risk. To help you determine a response to a\\\\npotential security issue that is highlighted by a finding, GuardDuty breaks down this range\\\\ninto *Critical*, *High*, *Medium*,\\\\nand *Low* severity levels.\\\\n\\\\nA finding of a particular type may have a\\\\ndifferent severity depending on the context specific to the finding.\\\\nTo view a consolidated list of default severity levels for all GuardDuty finding types, see\\\\nGuardDuty active finding types.\\\\n\\\\nThe following sections explain defined severity levels for the GuardDuty\\\\nfindings.\\\\n\\\\n###### Topics\\\\n\\\\n* Critical severity\\\\n* High severity\\\\n* Medium severity\\\\n* Low severity\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/guardduty/latest/ug/guardduty_findings-severity.html\\\"},{\\\"rank_order\\\":2,\\\"title\\\":\\\"Intelligent Threat Detection \\u2013 Amazon GuardDuty Features \\u2013 AWS\\\",\\\"context\\\":\\\"#### Threat severity levels for efficient prioritization\\\\n\\\\nGuardDuty provides four severity levels (Low, Medium, High, and Critical) to help customers prioritize their response to potential threats. A Low severity level indicates suspicious or malicious activity that was blocked before it compromised your resource. A Medium severity level indicates suspicious activity that requires further investigation. An example would be a large amount of traffic returned to a remote host hiding behind the Tor network or activity that deviates from normally observed behavior. A High severity level indicates that the resource in question (for example, an EC2 instance or a set of IAM user credentials) is compromised and is actively being used for unauthorized purposes. A Critical severity level indicates a high-confidence threat that requires immediate attention. We recommend setting up a notification for such findings, enabling rapid response to minimize business impact\\\",\\\"url\\\":\\\"https://aws.amazon.com/guardduty/features/\\\"},{\\\"rank_order\\\":3,\\\"title\\\":\\\"Intelligent Threat Detection \\u2013 Amazon GuardDuty Pricing \\u2013 AWS\\\",\\\"context\\\":\\\"## Pricing overview\\\\n\\\\nAmazon GuardDuty is a pay-as-you-go threat detection service that continuously monitors for malicious activity and anomalous behavior to help protect your AWS accounts, workloads, and data. GuardDuty prices are based on the volume of service logs, events, workloads, or data analyzed.\\\\n\\\\nGuardDuty pricing tiers include foundational pricing, which is the default level of service coverage, as well as GuardDuty protection plan pricing. When you activate GuardDuty for the first time in an account, default GuardDuty threat detection coverage, as well as available protection plan coverage, will automatically be enabled. But, you can customize how any new account inherits different protection plans in GuardDuty.\\\\n\\\\nWith GuardDuty protection plans, you have the flexibility and choice of deciding which plans to turn on or off at any time. The default threat detection in GuardDuty cannot be disabled. This helps ensure that your environment is continuously monitored for potential security risks, even as you adapt your security strategy. Analyzed service logs are filtered for cost optimization and directly integrated with GuardDuty, which means you don't have to activate or pay for them separately.\\\\n\\\\nPricing varies by data source and AWS Region and is subject to change as new log sources are introduced, existing log sources are optimized to reduce cost, and log volumes increase and decrease with your varying workload-related activity on AWS. Consult the GuardDuty User Guide for Region-specific feature availability.\\\\n\\\\n### AWS Pricing Calculator\\\\n\\\\nCalculate your Amazon GuardDuty and architecture costs in a single estimate.\\\\n\\\\n**Create your custom estimate now \\u00bb**\\\",\\\"url\\\":\\\"https://aws.amazon.com/guardduty/pricing/\\\"}]}}\"}]}], \"label\": \"Search AWS docs for GuardDuty finding severity levels used in cost optimization guidance.\"}", + "createdAt": "2026-09-29T09:16:05.935000-04:00", + "recordType": "tool_summary" + }, + { + "agentSpaceId": "9de666e8-511c-400f-a5e2-e328e6026ad7", + "executionId": "f6ee80b2-04f7-4378-858c-5e292defe915", + "recordId": "caba0921-52c5-4508-b328-bfcfd888f980", + "content": "{\"id\": \"caba0921-52c5-4508-b328-bfcfd888f980\", \"role\": \"user\", \"content\": [{\"id\": \"tooluse_mU7F3dIIT05h7NQRCPgKDV\", \"content\": \"[{'text': '{\\\"content\\\":{\\\"result\\\":[{\\\"rank_order\\\":1,\\\"title\\\":\\\"Severity levels of GuardDuty findings\\\",\\\"context\\\":\\\"# Severity levels of GuardDuty findings\\\\\\\\n\\\\\\\\nEach GuardDuty finding has an assigned severity level and value that reflects the\\\\\\\\npotential risk the finding could have to your environment, as determined by our security\\\\\\\\nengineers. The value of the severity can fall anywhere within the 1.0 to 10.0 range, with\\\\\\\\nhigher values indicating greater security risk. To help you determine a response to a\\\\\\\\npotential security issue that is highlighted by a finding, GuardDuty breaks down this range\\\\\\\\ninto *Critical*, *High*, *Medium*,\\\\\\\\nand *Low* severity levels.\\\\\\\\n\\\\\\\\nA finding of a particular type may have a\\\\\\\\ndifferent severity depending on the context specific to the finding.\\\\\\\\nTo view a consolidated list of default severity levels for all GuardDuty finding types, see\\\\\\\\nGuardDuty active finding types.\\\\\\\\n\\\\\\\\nThe following sections explain defined severity levels for the GuardDuty\\\\\\\\nfindings.\\\\\\\\n\\\\\\\\n###### Topics\\\\\\\\n\\\\\\\\n* Critical severity\\\\\\\\n* High severity\\\\\\\\n* Medium severity\\\\\\\\n* Low severity\\\",\\\"url\\\":\\\"https://docs.aws.amazon.com/guardduty/latest/ug/guardduty_findings-severity.html\\\"},{\\\"rank_order\\\":2,\\\"title\\\":\\\"Intelligent Threat Detection \\u2013 Amazon GuardDuty Features \\u2013 AWS\\\",\\\"context\\\":\\\"#### Threat severity levels for efficient prioritization\\\\\\\\n\\\\\\\\nGuardDuty provides four severity levels (Low, Medium, High, and Critical) to help customers prioritize their response to potential threats. A Low severity level indicates suspicious or malicious activity that was blocked before it compromised your resource. A Medium severity level indicates suspicious activity that requires further investigation. An example would be a large amount of traffic returned to a remote host hiding behind the Tor network or activity that deviates from normally observed behavior. A High severity level indicates that the resource in question (for example, an EC2 instance or a set of IAM user credentials) is compromised and is actively being used for unauthorized purposes. A Critical severity level indicates a high-confidence threat that requires immediate attention. We recommend setting up a notification for such findings, enabling rapid response to minimize business impact\\\",\\\"url\\\":\\\"https://aws.amazon.com/guardduty/features/\\\"},{\\\"rank_order\\\":3,\\\"title\\\":\\\"Intelligent Threat Detection \\u2013 Amazon GuardDuty Pricing \\u2013 AWS\\\",\\\"context\\\":\\\"## Pricing overview\\\\\\\\n\\\\\\\\nAmazon GuardDuty is a pay-as-you-go threat detection service that continuously monitors for malicious activity and anomalous behavior to help protect your AWS accounts, workloads, and data. GuardDuty prices are based on the volume of service logs, events, workloads, or data analyzed.\\\\\\\\n\\\\\\\\nGuardDuty pricing tiers include foundational pricing, which is the default level of service coverage, as well as GuardDuty protection plan pricing. When you activate GuardDuty for the first time in an account, default GuardDuty threat detection coverage, as well as available protection plan coverage, will automatically be enabled. But, you can customize how any new account inherits different protection plans in GuardDuty.\\\\\\\\n\\\\\\\\nWith GuardDuty protection plans, you have the flexibility and choice of deciding which plans to turn on or off at any time. The default threat detection in GuardDuty cannot be disabled. This helps ensure that your environment is continuously monitored for potential security risks, even as you adapt your security strategy. Analyzed service logs are filtered for cost optimization and directly integrated with GuardDuty, which means you don\\\\'t have to activate or pay for them separately.\\\\\\\\n\\\\\\\\nPricing varies by data source and AWS Region and is subject to change as new log sources are introduced, existing log sources are optimized to reduce cost, and log volumes increase and decrease with your varying workload-related activity on AWS. Consult the GuardDuty User Guide for Region-specific feature availability.\\\\\\\\n\\\\\\\\n### AWS Pricing Calculator\\\\\\\\n\\\\\\\\nCalculate your Amazon GuardDuty and architecture costs in a single estimate.\\\\\\\\n\\\\\\\\n**Create your custom estimate now \\u00bb**\\\",\\\"url\\\":\\\"https://aws.amazon.com/guardduty/pricing/\\\"}]}}'}]\", \"status\": \"success\", \"type\": \"tool_result\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:11.120000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "9de666e8-511c-400f-a5e2-e328e6026ad7", + "executionId": "f6ee80b2-04f7-4378-858c-5e292defe915", + "recordId": "619fd887-9b4d-4da3-a545-53744b0bc9ac", + "content": "{\"metadata\": {\"version\": \"0.1\"}, \"data\": {\"context_window\": {\"utilization\": 3.9, \"compaction_count\": 0}}}", + "createdAt": "2026-09-29T09:16:11.208000-04:00", + "recordType": "utilization" + }, + { + "agentSpaceId": "9de666e8-511c-400f-a5e2-e328e6026ad7", + "executionId": "f6ee80b2-04f7-4378-858c-5e292defe915", + "recordId": "eb74339c-4fac-4b22-8110-aa98c88377d5", + "content": "{\"id\": \"eb74339c-4fac-4b22-8110-aa98c88377d5\", \"role\": \"assistant\", \"content\": [{\"text\": \"I should flag something here: I don't have a specific \\\"GuardDuty cost optimization skill\\\" in my toolset, and general GuardDuty documentation only defines **four** severity levels for findings \\u2014 not five: **Critical, High, Medium, and Low**.\\n\\nIf you're referring to a specific skill or internal document with a five-level scale, I don't have visibility into that \\u2014 I can't find a five-level breakdown in AWS's published GuardDuty documentation. Could you point me to where you saw the five-level scale (e.g., a specific runbook or doc), or would you like me to go with the standard four-level GuardDuty severity scale instead?\", \"type\": \"text\"}], \"created_at\": null}", + "createdAt": "2026-09-29T09:16:11.284000-04:00", + "recordType": "message" + }, + { + "agentSpaceId": "9de666e8-511c-400f-a5e2-e328e6026ad7", + "executionId": "f6ee80b2-04f7-4378-858c-5e292defe915", + "recordId": "ed9abbf2-325a-4bdb-9cf9-662725c63753", + "content": "{\"id\": \"50acf67f-b68b-4922-a183-def97fd00de6\", \"role\": \"assistant\", \"content\": [{\"type\": \"text\", \"text\": \"I should flag something here: I don't have a specific \\\"GuardDuty cost optimization skill\\\" in my toolset, and general GuardDuty documentation only defines **four** severity levels for findings \\u2014 not five: **Critical, High, Medium, and Low**.\\n\\nIf you're referring to a specific skill or internal document with a five-level scale, I don't have visibility into that \\u2014 I can't find a five-level breakdown in AWS's published GuardDuty documentation. Could you point me to where you saw the five-level scale (e.g., a specific runbook or doc), or would you like me to go with the standard four-level GuardDuty severity scale instead?\"}]}", + "createdAt": "2026-09-29T09:16:11.364000-04:00", + "recordType": "final_response" + } +] \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/evals/structure/structure-tests-results-v1.json b/skills/guardduty-cost-optimization/evals/structure/structure-tests-results-v1.json new file mode 100644 index 00000000..8d6c7fc8 --- /dev/null +++ b/skills/guardduty-cost-optimization/evals/structure/structure-tests-results-v1.json @@ -0,0 +1,101 @@ +{ + "version": 1, + "timestamp": "2026-09-29T13:14:25Z", + "test_type": "structure", + "passing_score": 100, + "score": 100, + "result": "passed", + "summary": { + "total": 12, + "passed": 12, + "failed": 0, + "skipped": 0, + "warning": 0 + }, + "tests": [ + { + "id": "STRUCT-01", + "name": "SKILL.md file exists", + "result": "passed", + "message": "SKILL.md file exists", + "agent_skills_spec_reference": "https://agentskills.io/specification#directory-structure" + }, + { + "id": "STRUCT-02", + "name": "Valid YAML frontmatter", + "result": "passed", + "message": "Valid YAML frontmatter found", + "agent_skills_spec_reference": "https://agentskills.io/specification#skill-md-format" + }, + { + "id": "STRUCT-03", + "name": "Required name field present", + "result": "passed", + "message": "Required field 'name' is present", + "agent_skills_spec_reference": "https://agentskills.io/specification#frontmatter" + }, + { + "id": "STRUCT-04", + "name": "Required description field present", + "result": "passed", + "message": "Required field 'description' is present", + "agent_skills_spec_reference": "https://agentskills.io/specification#frontmatter" + }, + { + "id": "STRUCT-05", + "name": "name format (1-64 chars, lowercase alphanumeric + hyphens)", + "result": "passed", + "message": "name field format is valid: 'guardduty-cost-optimization'", + "agent_skills_spec_reference": "https://agentskills.io/specification#name-field" + }, + { + "id": "STRUCT-06", + "name": "name matches parent directory name", + "result": "passed", + "message": "name 'guardduty-cost-optimization' matches directory name 'guardduty-cost-optimization'", + "agent_skills_spec_reference": "https://agentskills.io/specification#name-field" + }, + { + "id": "STRUCT-07", + "name": "description is 1-1024 characters", + "result": "passed", + "message": "description field length is valid (892 characters)", + "agent_skills_spec_reference": "https://agentskills.io/specification#description-field" + }, + { + "id": "STRUCT-08", + "name": "license (if present) is a non-empty string", + "result": "passed", + "message": "Field not present (optional)", + "agent_skills_spec_reference": "https://agentskills.io/specification#license-field" + }, + { + "id": "STRUCT-09", + "name": "compatibility (if present) is 1-500 characters", + "result": "passed", + "message": "Field not present (optional)", + "agent_skills_spec_reference": "https://agentskills.io/specification#compatibility-field" + }, + { + "id": "STRUCT-10", + "name": "metadata (if present) is string\u2192string map", + "result": "passed", + "message": "metadata field is valid", + "agent_skills_spec_reference": "https://agentskills.io/specification#metadata-field" + }, + { + "id": "STRUCT-11", + "name": "allowed-tools (if present) is a non-empty string", + "result": "passed", + "message": "Field not present (optional)", + "agent_skills_spec_reference": "https://agentskills.io/specification#allowed-tools-field" + }, + { + "id": "STRUCT-12", + "name": "Body is under 500 lines", + "result": "passed", + "message": "SKILL.md body is 134 lines (within 500 line limit)", + "agent_skills_spec_reference": "https://agentskills.io/specification#progressive-disclosure" + } + ] +} \ No newline at end of file diff --git a/skills/guardduty-cost-optimization/references/billing-model.md b/skills/guardduty-cost-optimization/references/billing-model.md new file mode 100644 index 00000000..392a1b52 --- /dev/null +++ b/skills/guardduty-cost-optimization/references/billing-model.md @@ -0,0 +1,48 @@ +# Amazon GuardDuty Billing Model + +Reference for how GuardDuty charges accrue. Load this when you need the exact metric, +unit, and pricing basis for a protection plan, or when reasoning about the two +non-obvious billing interactions below. + +Sources: +- [Monitoring GuardDuty usage and estimating costs](https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html) +- [GuardDuty pricing](https://aws.amazon.com/guardduty/pricing/) + +## What is billed + +GuardDuty is pay-as-you-go, **per protection plan**, priced on the volume of data each +plan analyzes. There are no upfront costs and no per-detector fee — cost is driven +entirely by analyzed volume. Each plan meters on its own unit: + +| Protection Plan | Data Source | Metric (namespace `AWS/GuardDuty`) | Unit | Priced on | +|-----------------|-------------|------------------------------------|------|-----------| +| Foundational Threat Detection | CloudTrailEvents | AnalyzedCount | Count | Management events analyzed | +| Foundational Threat Detection | VPCFlowLogDNSLogEvents | AnalyzedBytes | Bytes | VPC flow + DNS log volume | +| S3 Protection | S3DataEvents | AnalyzedCount | Count | S3 data events analyzed | +| EKS Protection | KubernetesAuditLogs | AnalyzedCount | Count | EKS audit log events | +| Runtime Monitoring | RuntimeMonitoringEC2 / EKS / Fargate | MonitoredVcpuHours | vCPU-Hours | vCPU hours monitored | +| Malware Protection for EC2 | MalwareProtectionEBS / OnDemandEBS* | ScannedBytes | Bytes | EBS data scanned | +| RDS Protection | RDS / RDSLimitless / AuroraScaleout | MonitoredAcuHours / MonitoredVcpuHours | ACU/vCPU-Hours | RDS/Aurora capacity monitored | +| Lambda Protection | LambdaNetworkLogs | AnalyzedBytes | Bytes | Lambda network log volume | +| AI Protection | AIDataEvents | AnalyzedBytes | Bytes | AI data events analyzed | + +Malware Protection for S3 meters separately under the `AWS/GuardDuty/MalwareProtection` +namespace (`CompletedScanBytes`, `CompletedScanCount`, etc.). + +## Two critical billing behaviors + +- **Runtime Monitoring offsets VPC Flow Log charges.** For instances actively + monitored by the Runtime Monitoring agent, GuardDuty does **not** charge for VPC + Flow Logs processing on those instances. Enabling Runtime Monitoring *decreases* + `VPCFlowLogDNSLogEvents` usage; disabling it restores the charge. The two line items + trade against each other — always size the net effect, not either alone. +- **Service-log configuration does not reduce GuardDuty cost.** Filtering or disabling + your own VPC Flow Logs, CloudTrail, or S3 data event logging does **not** reduce + what GuardDuty analyzes — GuardDuty ingests from independent internal sources. The + only cost lever is the GuardDuty **protection-plan** configuration itself. + +## Unit conversions + +Convert byte metrics to GB/TB when sizing to match pricing units: +- 1 GB = 1,073,741,824 bytes +- 1 TB = 1,099,511,627,776 bytes diff --git a/skills/guardduty-cost-optimization/references/data-collection.md b/skills/guardduty-cost-optimization/references/data-collection.md new file mode 100644 index 00000000..2918c8e0 --- /dev/null +++ b/skills/guardduty-cost-optimization/references/data-collection.md @@ -0,0 +1,42 @@ +# GuardDuty Inventory & Usage Metric Collection + +Reference for the read-only APIs used to inventory detectors and protection plans +(Step 2) and the per-plan usage/cost signals used to size opportunities (Step 3). Load +this when you need the precise API names, dimensions, and which signal to prefer. + +All calls are read-only (`List*`, `Get*`, `Describe*`) plus CloudWatch reads. + +## Step 2 — Inventory detectors and protection plans + +``` +guardduty.ListDetectors / GetDetector # detector status, enabled features, + # data sources, per-plan config +guardduty.ListMembers / GetMemberDetectors # org member coverage (deleg. admin) +guardduty.GetMasterAccount / ListOrganizationAdminAccounts +guardduty.GetFindingsStatistics # finding counts by type/severity + # (value signal — statistics only, + # not finding detail content) +``` + +**Capture per Region:** whether GuardDuty is enabled, which protection plans/features +are on, Runtime Monitoring agent coverage, and member-account coverage. + +Delegated-administrator accounts additionally receive **aggregated** organization +usage metrics — use them for org-wide sizing. + +## Step 3 — Collect per-plan usage metrics + +Pull the `AWS/GuardDuty` usage metrics with `cloudwatch.GetMetricData`, using the +`DataSource` dimension (and `AccountId`) to break usage down by protection plan over +the analysis window. Also pull `AWS/GuardDuty/MalwareProtection` for S3 malware scans. + +- Usage metrics are published **hourly** and can lag up to ~24 hours — use a + multi-day window, not a single hour, for sizing. +- On a delegated-administrator account, the aggregated `DataSource` dimensions give + org-wide totals per plan. +- **Cost Explorer** (`ce.GetCostAndUsage`, filtered to the `AmazonGuardDuty` service, + grouped by `USAGE_TYPE` and/or `REGION`) is the most direct dollar signal — prefer + it when available and reconcile it against the per-plan usage metrics. + +Convert byte metrics to GB/TB when sizing (see billing-model.md unit conversions) to +match pricing units. diff --git a/skills/guardduty-cost-optimization/references/opportunities.md b/skills/guardduty-cost-optimization/references/opportunities.md new file mode 100644 index 00000000..ef460a8b --- /dev/null +++ b/skills/guardduty-cost-optimization/references/opportunities.md @@ -0,0 +1,76 @@ +# GuardDuty Cost Optimization Opportunity Catalog + +Detailed reference for the seven opportunity checks. Load this during Step 4 (Analyze) +after ranking each enabled protection plan by its share of total GuardDuty spend. +Assign each finding a severity (CRITICAL, HIGH, MEDIUM, LOW, INFO) and, where a +usage/cost signal exists, an estimated monthly saving. + +**Frame every recommendation against security value** — GuardDuty is a security +control, and cost reductions must not silently remove needed coverage. Present plan +reductions as cost-vs-risk tradeoffs, cite the finding activity for the plan +(`GetFindingsStatistics`), and defer the decision to the user's security posture. + +## 4.1 High-cost / low-signal protection plans +Ref: [GuardDuty pricing](https://aws.amazon.com/guardduty/pricing/) + +- A protection plan consuming a large share of spend while producing few or no + findings over a representative window → review whether its coverage is warranted for + the workload → **MEDIUM** (present as a value/cost tradeoff, not an automatic + "disable"). Use `GetFindingsStatistics` for the value side. + +## 4.2 Runtime Monitoring ↔ VPC Flow Log offset +Ref: [Monitoring GuardDuty usage and estimating costs](https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html) + +- High `VPCFlowLogDNSLogEvents` (AnalyzedBytes) spend **and** EC2/EKS workloads not + covered by the Runtime Monitoring agent → enabling Runtime Monitoring stops VPC Flow + Log processing charges on monitored instances and adds deeper runtime detection → + compare `MonitoredVcpuHours` cost vs the avoided VPC Flow Log cost → **MEDIUM** + opportunity when the offset is favorable. +- Runtime Monitoring enabled but the **agent not actually transmitting** on many + instances → the **worst of both worlds**: because the agent isn't covering those + instances, the VPC Flow Log offset does **not** apply, so the account keeps paying + **VPC Flow Log processing charges** for them *and* pays for the Runtime Monitoring + plan, while getting **no runtime detection coverage** in return → fix agent coverage + so it transmits (or, if runtime coverage is genuinely not wanted, disable the plan + honestly) rather than treating it as a cost saving → **MEDIUM**. + +## 4.3 S3 Protection cost vs value +Ref: [GuardDuty S3 Protection](https://docs.aws.amazon.com/guardduty/latest/ug/s3-protection.html) + +- High `S3DataEvents` (AnalyzedCount) spend on buckets with predictable, + high-volume, low-risk access patterns (e.g. internal data-lake churn) → weigh S3 + Protection cost against exfiltration/destruction risk for those buckets → **MEDIUM** + tradeoff. + +## 4.4 Malware Protection for S3 scan volume +Ref: [Pricing in GuardDuty](https://docs.aws.amazon.com/guardduty/latest/ug/guardduty-pricing.html) + +- High `CompletedScanBytes` (namespace `AWS/GuardDuty/MalwareProtection`) driven by + scanning large, low-risk, or frequently-rewritten objects → scope Malware Protection + for S3 to the buckets/prefixes that need it → **MEDIUM**. Note On-demand malware + scan has **no** free tier. + +## 4.5 Free-trial cost projection (proactive) +Ref: [Estimating GuardDuty cost](https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html#estimating_guardduty_cost) + +- One or more plans within the **30-day free trial** → project post-trial monthly cost + from the observed trial usage metrics **before** the bill lands, per plan → **HIGH** + visibility (prevents bill shock; lets the user disable a plan before it starts + charging if the projected cost outweighs value). + +## 4.6 Duplicate / inconsistent multi-account coverage +Ref: [GuardDuty pricing](https://aws.amazon.com/guardduty/pricing/) + +- In an organization, protection plans enabled inconsistently across members, or + enabled on accounts/Regions with no meaningful workload → align coverage to where + workloads and risk actually are → **MEDIUM**. +- GuardDuty enabled in Regions the organization does not use → disable in unused + Regions → **MEDIUM**. + +## 4.7 Security Hub consolidated pricing (informational) +Ref: [Monitoring GuardDuty usage and estimating costs](https://docs.aws.amazon.com/guardduty/latest/ug/monitoring_costs.html#security-hub-customers) + +- If the account uses (or is considering) the Security Hub Threat Analytics plan, note + that it consolidates metering of multiple GuardDuty data sources and can change the + effective cost model → **INFO** (surface for the user's FinOps decision; the free + trial status is independent of Security Hub).