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shimo4228/README.md

Language: English | 日本語

Tatsuya Shimomoto (@shimo4228)

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Hub repository for five independently citable research lines by Tatsuya Shimomoto: AI agent design, AI-mediated authorship, and computational phenomenology. The three agent-design lines share one claim — see Through-line.

I'm Tatsuya Shimomoto — I build AI agents solo, on one Apple Silicon Mac, with no lab and no affiliation, working out what good practice looks like in the AI age. The papers and DOIs are tools in that, not a title — how I keep the work citable, durable, and traceable. This repo is a map, not the source of truth for live state — each research line has its own repository and Zenodo concept DOI, and the hub keeps their stable relationships and citation pointers in one place.

At a Glance

Line Role Stable concept Canonical record
Agent Knowledge Cycle Agent-design mechanism A six-phase loop for sustaining agent-operator intent alignment as both behavior and judgment evolve. DOI 10.5281/zenodo.19200726
Contemplative Agent Agent disposition and implementation A local agent using four contemplative axioms as an optional behavioral preset, not an architectural dependency. DOI 10.5281/zenodo.19212118
Agent Attribution Practice Accountability practice Harness-neutral ADRs for deciding what to prohibit, where controls live, and who answers when an agent fails. DOI 10.5281/zenodo.19652013
Authorship Strategy AI-era authorship methodology A framework for being a known author when LLMs mediate how readers discover and cite artifacts. DOI 10.5281/zenodo.20263316
Attention, Not Self Cognitive and Buddhist inquiry A comparison of Abhidharma cognitive-process models with computational phenomenology. DOI 10.5281/zenodo.20262112

The five lines are siblings, not dependencies — any one can be adopted alone.

Through-line

One claim runs through the three agent-design lines (AKC, Contemplative Agent, AAP): value-layer harness engineering. An agent harness normally holds task regulation — coding conventions, security policy, writing style; this program writes value norms (the contemplative axioms, an authorship-strategy judgment stack) into the same layer and governs them with the same human-gated cycle as everything below (claude-harness is the public snapshot). The contemplative content of that value layer comes from the author's meditation practice, which also sources two of the five lines; Authorship Strategy is how the whole program is published and cited.

Papers

Position papers deposited as standalone Zenodo records, each belonging to one line; the concept DOI is canonical, with SSRN mirrors where maintained.

Paper Line Links
Harness Alignment and Harness Drift: Why Intent, Unlike Correctness, Resists Automation AKC DOI 10.5281/zenodo.20578272 · SSRN
Distributing Accountability, Not Capability: Phase Separation and the LLM Workflow Quadrant in Autonomous AI Agent Architectures AAP DOI 10.5281/zenodo.20353789 · SSRN
The Two-Layer Black Box: Operator Visibility, Commercial Secrecy, and a Minimum Disclosure Set for Accountable Autonomous AI Agents AAP DOI 10.5281/zenodo.20355907 · SSRN

Writing and data

Long-form articles: Zenn · Dev.to · Substack (sources in zenn-content). Public GitHub-traffic dashboard and raw data, CC0. Source is archived content-addressed at Software Heritage.

Machine reading

For machines, start with graph.jsonld, then llms.txt, then llms-full.txt. The full ecosystem inventory — supporting repositories, datasets, and probe surfaces — lives in those files and the concept index, not in this README.

Citation and Identity

Author: Tatsuya Shimomoto — ORCID 0009-0002-6168-4162 · Wikidata Q140090100 · Hugging Face @Shimo4228

This hub is CC0-licensed. Cite individual research lines by their concept DOI; cite the hub itself only when referring to the aggregate index, knowledge graph, traffic snapshots, or probe dataset.

Pinned Loading

  1. contemplative-agent contemplative-agent Public

    Contemplative Agent (CA) — a CLI agent that runs a six-phase knowledge cycle (AKC) over its own logs, with contemplative axioms as behavioral presets. Every promotion passes a human approval gate. …

    Python 5 2

  2. agent-knowledge-cycle agent-knowledge-cycle Public

    Agent Knowledge Cycle (AKC) — a knowledge cycle for AI agents: agent behavior compounds, human judgment sharpens. Six phases keep behavior aligned with operator intent as human attention becomes th…

    3

  3. authorship-strategy authorship-strategy Public

    Authorship Strategy: A Normative Framework and Tactical Catalog for AI-Era Authenticity Inversion, with Empirical Grounding from a Five-Line Research Ecosystem

    Shell 2

  4. claude-harness claude-harness Public

    Curated, MIT-licensed Agent Skills, subagents & rules from shimo4228's harness — open Agent Skills standard, not Claude-Code-only. Lift what you want.

    Python 2

  5. llms-txt-writer llms-txt-writer Public

    Writes AI-facing documents (llms.txt / llms-full.txt / FAQ / glossary) optimized for citation by ChatGPT, Perplexity, Gemini. Answer.AI llms.txt standard + GEO-SFE 3-layer static analysis.

    Python 3 1

  6. search-first search-first Public

    Claude Code skill: forces agents to research existing solutions before building — reduces reinvention

    Shell 2