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15 changes: 15 additions & 0 deletions .github/pull_request_template.md
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---

## Security-sensitive change checklist

<!-- Only fill this in if this PR touches authentication, credentials, tokens, or session/connection state, AND an external user is involved. Otherwise, delete this section. -->

- [ ] Ran `/security-review` (note: by design it does not check for denial-of-service or resource-exhaustion issues — those need the next steps)
- [ ] Considered adversarial/misuse scenarios and checked the code against each (list them below)
- [ ] Added a regression test that fails against the pre-fix code for anything found this way
- [ ] Checked resource bounds: timeouts, cache eviction/max size, request/entry limits

**Scenarios considered:**

<!-- e.g. "what if this instance is shared across two concurrent sessions", "what if a client returns a value far larger than expected", "what if this token isn't verified the way we assume" -->

---

## Additional Notes

<!-- Include any further details, follow-up items, or decisions relevant to the reviewer. -->
11 changes: 11 additions & 0 deletions docs/engineering_standards.md
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Expand Up @@ -122,6 +122,17 @@ Observability is opt-in via OpenTelemetry. Enable only when debugging:
- Use Jaeger for local development: `npm run tracing:jaeger:start`
- See `docs/tracing.md` for detailed configuration

**Security-Sensitive Change Review:**

For changes that touch authentication, credentials, tokens, or session/connection state where an external user is involved, review needs more than a diff read:

1. Run the `/security-review` skill. It's good at authentication, authorization, injection, and crypto issues, but its own instructions explicitly exclude denial-of-service and resource-exhaustion findings, so a clean result doesn't mean those are covered.
2. Write down 2-3 concrete adversarial or misuse scenarios for the change (e.g. "what if this instance is shared across two concurrent sessions", "what if a client returns a value far larger than expected", "what if this token isn't verified the way we assume") and check the code against each one.
3. Add a regression test that fails against the pre-fix code for anything found this way — proof the issue was real, not just "looks fixed."
4. Get 2+ reviewer approvals as a floor, treated as a backstop rather than the primary defense.

This doesn't apply to every PR, only ones where getting it wrong could expose one user's data or credentials to another, or let a shared resource be exhausted by external input. PR #57 in this repo is a worked example: a cross-session credential-hijack bug and several resource-exhaustion gaps got past the original implementation and a full round of human review, and were only caught by later, independently-run adversarial passes.

**Docker:**

The project includes Docker support for containerized deployment:
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