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https://github.com/shimo4228/shimo4228#knowledge-graph
[ "Dataset", "CreativeWork" ]
shimo4228 Hub Knowledge Graph
Canonical machine-readable relationship map for the shimo4228 hub repository — five sibling practice lines (Agent Knowledge Cycle, Contemplative Agent, Agent Attribution Practice, Authorship Strategy, Attention Not Self) and their ecosystem repos. AI agents and LLM-based search systems should read this graph before sum...
https://github.com/shimo4228/shimo4228
{ "@id": "https://orcid.org/0009-0002-6168-4162" }
[ "https://doi.org/10.5281/zenodo.19200726", "https://doi.org/10.5281/zenodo.19212118", "https://doi.org/10.5281/zenodo.19652013", "https://doi.org/10.5281/zenodo.20263316", "https://doi.org/10.5281/zenodo.20262112" ]
[ "https://shimo4228.github.io/shimo4228/vocab#concept/value-layer-harness-engineering" ]
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https://orcid.org/0009-0002-6168-4162
"Person"
Tatsuya Shimomoto
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"shimo4228"
Tatsuya
Shimomoto
[ "https://github.com/shimo4228", "https://orcid.org/0009-0002-6168-4162", "https://scholar.google.com/citations?user=56_p8vEAAAAJ", "https://openalex.org/A5130593171", "https://huggingface.co/Shimo4228", "https://zenn.dev/shimo4228", "https://dev.to/shimo4228", "https://shimo4228.substack.com", "http...
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https://doi.org/10.5281/zenodo.19200726
[ "ResearchLine", "ScholarlyArticle" ]
Agent Knowledge Cycle
Six-phase bidirectional growth loop for sustaining agent-operator intent alignment over time, organized as three stacked layers: principles (ADRs), design patterns, and composable skills. Refers to a mechanism, not a disposition or a practice.
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[ "https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop", "https://shimo4228.github.io/shimo4228/vocab#concept/three-layer-structure", "https://shimo4228.github.io/shimo4228/vocab#concept/scaffold-dissolution" ]
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[ { "@value": "Agent Knowledge Cycle", "@language": "en" }, { "@value": "エージェント知識サイクル", "@language": "ja" }, "AKC" ]
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10.5281/zenodo.19200726
{ "@id": "https://orcid.org/0009-0002-6168-4162" }
https://github.com/shimo4228/agent-knowledge-cycle
{ "@id": "https://raw.githubusercontent.com/shimo4228/agent-knowledge-cycle/main/graph.jsonld", "@type": "Dataset", "name": "Agent Knowledge Cycle line-level knowledge graph", "encodingFormat": "application/ld+json" }
[ "https://doi.org/10.5281/zenodo.19212118", "https://doi.org/10.5281/zenodo.19652013", "https://doi.org/10.5281/zenodo.20263316", "https://doi.org/10.5281/zenodo.20262112" ]
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https://doi.org/10.5281/zenodo.19212118
[ "ResearchLine", "ScholarlyArticle" ]
Contemplative Agent
CLI agent grounded in four contemplative axioms (mindfulness, emptiness, non-duality, boundless care) running AKC's six-phase cycle over its own logs on a local LLM stack (Ollama generation plus local embeddings) on a single Apple Silicon Mac. Asks whether an agent's alignment can come from what it is rather than what ...
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[ "https://shimo4228.github.io/shimo4228/vocab#concept/four-contemplative-axioms", "https://shimo4228.github.io/shimo4228/vocab#concept/security-by-absence" ]
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[ { "@value": "Contemplative Agent", "@language": "en" }, { "@value": "観想的エージェント", "@language": "ja" }, "CA" ]
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10.5281/zenodo.19212118
{ "@id": "https://orcid.org/0009-0002-6168-4162" }
https://github.com/shimo4228/contemplative-agent
{ "@id": "https://raw.githubusercontent.com/shimo4228/contemplative-agent/main/graph.jsonld", "@type": "Dataset", "name": "Contemplative Agent line-level knowledge graph", "encodingFormat": "application/ld+json" }
[ "https://doi.org/10.5281/zenodo.19200726", "https://doi.org/10.5281/zenodo.19652013", "https://doi.org/10.5281/zenodo.20263316", "https://doi.org/10.5281/zenodo.20262112" ]
https://arxiv.org/abs/2504.15125
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https://doi.org/10.5281/zenodo.19652013
[ "ResearchLine", "ScholarlyArticle" ]
Agent Attribution Practice
Harness-neutral ADRs on accountability distribution in autonomous AI agents, paired with four Business AI Quadrants as the diagnostic frame for routing a piece of work to the architecture that preserves attribution. Judgments were extracted from contemplative-agent's operational practice and re-expressed stripped of pr...
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[ "https://shimo4228.github.io/shimo4228/vocab#concept/four-business-ai-quadrants", "https://shimo4228.github.io/shimo4228/vocab#concept/prohibition-strength-hierarchy" ]
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[ { "@value": "Agent Attribution Practice", "@language": "en" }, { "@value": "エージェント帰責実践", "@language": "ja" }, "AAP" ]
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10.5281/zenodo.19652013
{ "@id": "https://orcid.org/0009-0002-6168-4162" }
https://github.com/shimo4228/agent-attribution-practice
{ "@id": "https://raw.githubusercontent.com/shimo4228/agent-attribution-practice/main/graph.jsonld", "@type": "Dataset", "name": "Agent Attribution Practice line-level knowledge graph", "encodingFormat": "application/ld+json" }
[ "https://doi.org/10.5281/zenodo.19200726", "https://doi.org/10.5281/zenodo.19212118", "https://doi.org/10.5281/zenodo.20263316", "https://doi.org/10.5281/zenodo.20262112" ]
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https://doi.org/10.5281/zenodo.19212118
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https://doi.org/10.5281/zenodo.20263316
[ "ResearchLine", "ScholarlyArticle" ]
Authorship Strategy
A normative framework, tactical catalog, and empirical baseline for being a known author under AI-mediated diffusion. Rests on a three-axis inversion (scarcity to diffusion, exclusivity to derivation, enclosure to openness) and a four-layer judgment stack (Authenticity, Attribution Diffusion, Idea vs Scaffold, Tactics)...
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[ "https://shimo4228.github.io/shimo4228/vocab#concept/three-axis-inversion", "https://shimo4228.github.io/shimo4228/vocab#concept/four-layer-framework", "https://shimo4228.github.io/shimo4228/vocab#concept/identifier-federation-triplet", "https://shimo4228.github.io/shimo4228/vocab#concept/dual-entry-point", ...
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[ { "@value": "Authorship Strategy", "@language": "en" }, { "@value": "著者戦略", "@language": "ja" }, "AS" ]
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10.5281/zenodo.20263316
{ "@id": "https://orcid.org/0009-0002-6168-4162" }
https://github.com/shimo4228/authorship-strategy
{ "@id": "https://raw.githubusercontent.com/shimo4228/authorship-strategy/main/graph.jsonld", "@type": "Dataset", "name": "Authorship Strategy line-level knowledge graph", "encodingFormat": "application/ld+json" }
[ "https://doi.org/10.5281/zenodo.19200726", "https://doi.org/10.5281/zenodo.19212118", "https://doi.org/10.5281/zenodo.19652013", "https://doi.org/10.5281/zenodo.20262112" ]
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https://doi.org/10.5281/zenodo.20262112
[ "ResearchLine", "ScholarlyArticle" ]
Attention, Not Self
A personal essay collection and structured knowledge graph mapping the three major Buddhist Abhidharma traditions (Theravāda, Sarvāstivāda, Yogācāra) onto contemporary frameworks in computational phenomenology — predictive processing, active inference, Global Workspace Theory, Parallel Distributed Processing. From the ...
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[ "https://shimo4228.github.io/shimo4228/vocab#concept/three-abhidharma-traditions", "https://shimo4228.github.io/shimo4228/vocab#concept/attention-not-self-thesis" ]
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[ { "@value": "Attention, Not Self", "@language": "en" }, { "@value": "アテンション、ノット・セルフ", "@language": "ja" }, "ANS" ]
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10.5281/zenodo.20262112
{ "@id": "https://orcid.org/0009-0002-6168-4162" }
https://github.com/shimo4228/attention-not-self
{ "@id": "https://raw.githubusercontent.com/shimo4228/attention-not-self/main/graph.jsonld", "@type": "Dataset", "name": "Attention, Not Self line-level knowledge graph", "encodingFormat": "application/ld+json" }
[ "https://doi.org/10.5281/zenodo.19200726", "https://doi.org/10.5281/zenodo.19212118", "https://doi.org/10.5281/zenodo.19652013", "https://doi.org/10.5281/zenodo.20263316" ]
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https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop
[ "Concept", "DefinedTerm" ]
six-phase loop
Bidirectional growth loop running Research, Extract, Curate, Promote, Measure, Maintain. Each phase binds to one or more composable skills. The cycle stays stable even as individual skills evolve.
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[ { "@value": "six-phase loop", "@language": "en" }, { "@value": "六相ループ", "@language": "ja" } ]
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https://shimo4228.github.io/shimo4228/vocab#concept/three-layer-structure
[ "Concept", "DefinedTerm" ]
three-layer structure
AKC's stacked architecture: principles (ADRs), patterns (design-pattern skills), implementation (composable skills). Separating layers decouples rate of change so principles stay stable while implementations evolve independently.
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[ { "@value": "three-layer structure", "@language": "en" }, { "@value": "三層構造", "@language": "ja" } ]
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https://shimo4228.github.io/shimo4228/vocab#concept/scaffold-dissolution
[ "Concept", "DefinedTerm" ]
scaffold dissolution
Property that explicit AKC skills can be dropped once the cycle has been internalized. The skills are scaffolding, not the goal. Dissolution is the intended end state, not a fallback.
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[ { "@value": "scaffold dissolution", "@language": "en" }, { "@value": "足場の溶解", "@language": "ja" } ]
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https://shimo4228.github.io/shimo4228/vocab#concept/four-contemplative-axioms
[ "Concept", "DefinedTerm" ]
four contemplative axioms
Mindfulness, emptiness, non-duality, boundless care. Behavioral preset adopted from Laukkonen et al. (2025) that shifts alignment from external instruction toward internal disposition.
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[ { "@value": "four contemplative axioms", "@language": "en" }, { "@value": "四公理", "@language": "ja" } ]
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https://shimo4228.github.io/shimo4228/vocab#concept/security-by-absence
[ "Concept", "DefinedTerm" ]
security-by-absence
Security posture in which risky capabilities (shell execution, arbitrary URL access, filesystem traversal) are not restricted by rules because the corresponding code was never written. The attack surface is absent rather than guarded, avoiding rule-bypass vulnerabilities.
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[ { "@value": "security-by-absence", "@language": "en" }, { "@value": "不在による安全", "@language": "ja" } ]
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https://shimo4228.github.io/shimo4228/vocab#concept/four-business-ai-quadrants
[ "Concept", "DefinedTerm" ]
Four Business AI Quadrants
AAP's diagnostic frame for routing work to the architecture that preserves attribution: Script, Algorithmic Search, LLM Workflow, Autonomous Agentic Loop.
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[ { "@value": "Four Business AI Quadrants", "@language": "en" }, { "@value": "ビジネスAIの四象限", "@language": "ja" } ]
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https://shimo4228.github.io/shimo4228/vocab#concept/prohibition-strength-hierarchy
[ "Concept", "DefinedTerm" ]
prohibition-strength hierarchy
AAP's ordering of prohibition mechanisms by structural strength: absence > scaffolding enforcement > untrusted boundary. The strongest prohibition is the one that requires no enforcement because the capability does not exist.
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[ { "@value": "prohibition-strength hierarchy", "@language": "en" }, { "@value": "禁止強度の階層", "@language": "ja" } ]
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https://shimo4228.github.io/shimo4228/vocab#concept/three-axis-inversion
[ "Concept", "DefinedTerm" ]
three-axis inversion
Authorship Strategy's structural claim that twentieth-century authorship and AI-era authorship invert on three co-varying axes: value source (scarcity to diffusion), validation mechanism (exclusivity to derivation), network effect (enclosure to openness). The axes are not independent; a strategy mixing axes is internal...
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[ { "@value": "three-axis inversion", "@language": "en" }, { "@value": "3 軸反転", "@language": "ja" } ]
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https://shimo4228.github.io/shimo4228/vocab#concept/four-layer-framework
[ "Concept", "DefinedTerm" ]
four-layer framework
Authorship Strategy's operational judgment stack: Authenticity (the value protected), Attribution Diffusion (the strategy), Idea vs Scaffold (the prediction), Tactics (the concrete decisions). Each layer is downstream of the layer above.
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[ { "@value": "four-layer framework", "@language": "en" }, { "@value": "4 層 framework", "@language": "ja" } ]
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https://shimo4228.github.io/shimo4228/vocab#concept/identifier-federation-triplet
[ "Concept", "DefinedTerm" ]
identifier-federation triplet
Authorship Strategy's three ADRs forming a tactical discipline: Concept DOI as Canonical Reference (ADR-0001), DOI Federation via .zenodo.json (ADR-0002), Cross-Platform Dataset Federation (ADR-0003). Together they make a DOI-registered artifact's citation network recoverable from metadata alone.
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[ { "@value": "identifier-federation triplet", "@language": "en" }, { "@value": "識別子 federation triplet", "@language": "ja" } ]
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https://shimo4228.github.io/shimo4228/vocab#concept/dual-entry-point
[ "Concept", "DefinedTerm" ]
dual entry point
Authorship Strategy's structural decision (ADR-0006) that any framework-governed artifact deploys two complementary structured entry points — a prose-form navigator (e.g., an llms.txt convention file) and a concept-form linked-data graph (e.g., a JSON-LD knowledge graph) — released synchronously. Each entry point addre...
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[ { "@value": "dual entry point", "@language": "en" }, { "@value": "dual entry point", "@language": "ja" } ]
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https://shimo4228.github.io/shimo4228/vocab#concept/intrinsic-identifier-layer
[ "Concept", "DefinedTerm" ]
intrinsic identifier layer
Authorship Strategy's structural decision (ADR-0013) that a content-derived intrinsic identifier — a SWHID, computed from an artifact and its version history and verifiable from the content alone without any registry — complements the extrinsic concept DOI rather than replacing it. The two layers cover each other's fai...
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[ { "@value": "intrinsic identifier layer", "@language": "en" }, { "@value": "intrinsic identifier 層", "@language": "ja" } ]
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https://shimo4228.github.io/shimo4228/vocab#concept/three-abhidharma-traditions
[ "Concept", "DefinedTerm" ]
three Abhidharma traditions
Attention, Not Self's comparative frame across the three major Buddhist Abhidharma traditions: Theravāda, Sarvāstivāda, Yogācāra. Each tradition supplies a distinct cognitive-process model whose terms (citta-vīthi, samanantara-pratyaya, ālaya-vijñāna, etc.) are juxtaposed with computational phenomenology constructs.
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[ { "@value": "three Abhidharma traditions", "@language": "en" }, { "@value": "三大アビダルマ伝統", "@language": "ja" } ]
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https://shimo4228.github.io/shimo4228/vocab#concept/attention-not-self-thesis
[ "Concept", "DefinedTerm" ]
attention not self
Attention, Not Self's core thesis: the perspective that attention — its allocation, its precision-weighting, its momentariness — is the operative unit of cognition, while the apparent self is a derivative pattern (anātman). The thesis grounds the comparative move between Abhidharma's cognitive-process classification an...
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[ { "@value": "attention, not self", "@language": "en" }, { "@value": "アテンション、ノット・セルフ", "@language": "ja" } ]
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https://shimo4228.github.io/shimo4228/vocab#concept/value-layer-harness-engineering
[ "Concept", "DefinedTerm" ]
value-layer harness engineering
Hub-level through-line of the three agent-design lines: the engineered agent harness extends past tools, permissions, and evals up to its topmost layers — norms, constitutions, and values — and those layers are governed by the same human-gated cycle as every layer below. Concretely: the rules and context files where an...
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[ { "@id": "https://doi.org/10.5281/zenodo.19200726" }, { "@id": "https://doi.org/10.5281/zenodo.19212118" }, { "@id": "https://doi.org/10.5281/zenodo.19652013" } ]
[ { "@value": "value-layer harness engineering", "@language": "en" }, { "@value": "価値層ハーネス工学", "@language": "ja" } ]
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{ "@id": "https://github.com/shimo4228/claude-harness" }
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https://doi.org/10.5281/zenodo.20578272
[ "Paper", "ScholarlyArticle" ]
Harness Alignment and Harness Drift: Why Intent, Unlike Correctness, Resists Automation
Position paper of the Agent Knowledge Cycle line, deposited as a standalone Zenodo record and mirrored on SSRN.
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[ "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6892740", "https://airaxiv.com/papers/view/2607.0008/", "https://aixiv.science/abs/aixiv.260702.000009" ]
10.5281/zenodo.20578272
{ "@id": "https://orcid.org/0009-0002-6168-4162" }
https://doi.org/10.5281/zenodo.20578272
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https://doi.org/10.5281/zenodo.19200726
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https://doi.org/10.5281/zenodo.20353789
[ "Paper", "ScholarlyArticle" ]
Distributing Accountability, Not Capability: Phase Separation and the LLM Workflow Quadrant in Autonomous AI Agent Architectures
Companion paper of the Agent Attribution Practice line, deposited as a standalone Zenodo record and mirrored on SSRN.
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[ "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6817598", "https://airaxiv.com/papers/view/2607.0006/", "https://aixiv.science/abs/aixiv.260702.000005" ]
10.5281/zenodo.20353789
{ "@id": "https://orcid.org/0009-0002-6168-4162" }
https://doi.org/10.5281/zenodo.20353789
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https://doi.org/10.5281/zenodo.19652013
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https://doi.org/10.5281/zenodo.20355907
[ "Paper", "ScholarlyArticle" ]
The Two-Layer Black Box: Operator Visibility, Commercial Secrecy, and a Minimum Disclosure Set for Accountable Autonomous AI Agents
Companion paper of the Agent Attribution Practice line, deposited as a standalone Zenodo record and mirrored on SSRN.
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[ "https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6823878", "https://airaxiv.com/papers/view/2607.0007/", "https://aixiv.science/abs/aixiv.260702.000008" ]
10.5281/zenodo.20355907
{ "@id": "https://orcid.org/0009-0002-6168-4162" }
https://doi.org/10.5281/zenodo.20355907
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https://doi.org/10.5281/zenodo.19652013
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https://github.com/shimo4228/akc-cycle
[ "EcosystemRepo", "SoftwareSourceCode" ]
akc-cycle
Installable form of AKC: a Claude Code plugin of audit and upkeep skills for every phase, plus an optional always-loaded rules file; each part works without the other. Listed in Anthropic's Claude plugin directory.
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https://github.com/shimo4228/akc-cycle
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https://doi.org/10.5281/zenodo.19200726
https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop
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https://github.com/shimo4228/search-first
[ "EcosystemRepo", "SoftwareSourceCode" ]
search-first
AKC Research phase skill: search existing solutions before building.
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https://github.com/shimo4228/search-first
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https://doi.org/10.5281/zenodo.19200726
https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop
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https://github.com/shimo4228/learn-eval
[ "EcosystemRepo", "SoftwareSourceCode" ]
learn-eval
AKC Extract phase skill: extract reusable patterns with quality gates.
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https://github.com/shimo4228/learn-eval
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https://doi.org/10.5281/zenodo.19200726
https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop
null
null
null
null
null
https://github.com/shimo4228/skill-stocktake
[ "EcosystemRepo", "SoftwareSourceCode" ]
skill-stocktake
AKC Curate phase skill: audit skills for staleness, conflicts, redundancy.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/skill-stocktake
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop
null
null
null
null
null
https://github.com/shimo4228/skill-health
[ "EcosystemRepo", "SoftwareSourceCode" ]
skill-health
AKC Curate phase skill: scan skill libraries for structural debt, including missing scripts, agents, and sibling-skill references.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/skill-health
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop
null
null
null
null
null
https://github.com/shimo4228/rules-stocktake
[ "EcosystemRepo", "SoftwareSourceCode" ]
rules-stocktake
AKC Curate phase skill: audit always-loaded rules for residency cost, staleness, and substrate absorption.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/rules-stocktake
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop
null
null
null
null
null
https://github.com/shimo4228/rules-distill
[ "EcosystemRepo", "SoftwareSourceCode" ]
rules-distill
AKC Promote phase skill: distill cross-cutting principles into rules.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/rules-distill
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop
null
null
null
null
null
https://github.com/shimo4228/skill-comply
[ "EcosystemRepo", "SoftwareSourceCode" ]
skill-comply
AKC Measure phase skill: test whether agents follow their skills and rules.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/skill-comply
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop
null
null
null
null
null
https://github.com/shimo4228/context-sync
[ "EcosystemRepo", "SoftwareSourceCode" ]
context-sync
AKC Maintain phase skill: audit docs for role overlaps and stale content.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/context-sync
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop
null
null
null
null
null
https://github.com/shimo4228/agent-stocktake
[ "EcosystemRepo", "SoftwareSourceCode" ]
agent-stocktake
AKC Curate phase skill: audit subagent definitions with a hybrid cost model, always-loaded descriptions as residency and bodies as invocation payload.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/agent-stocktake
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop
null
null
null
null
null
https://github.com/shimo4228/generation-audit
[ "EcosystemRepo", "SoftwareSourceCode" ]
generation-audit
AKC skill for the model-generation trigger of scaffold dissolution: re-audits self-authored rules, CLAUDE.md, output styles, skills, and agents when a new Claude model takes over a role, applies safe line fixes, and hands the remaining verdicts to the Curate phase stocktake skills.
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/generation-audit
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
https://shimo4228.github.io/shimo4228/vocab#concept/scaffold-dissolution
null
null
null
null
null
https://github.com/shimo4228/llm-as-judge
[ "EcosystemRepo", "SoftwareSourceCode" ]
llm-as-judge
AKC Measure phase skill: design LLM-as-judge evaluators with binary checks as evidence and one named holistic verdict, no score aggregation.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/llm-as-judge
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop
null
null
null
null
null
https://github.com/shimo4228/repo-asset-stocktake
[ "EcosystemRepo", "SoftwareSourceCode" ]
repo-asset-stocktake
AKC Maintain phase skill: audit a repository's non-code assets (tool configs, CI workflows, runbooks) for diminished value, with Keep / Update / Retire / Merge verdicts.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/repo-asset-stocktake
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
https://shimo4228.github.io/shimo4228/vocab#concept/six-phase-loop
null
null
null
null
null
https://github.com/shimo4228/code-and-llm-collaboration
[ "EcosystemRepo", "SoftwareSourceCode" ]
code-and-llm-collaboration
AKC design-pattern skill (the how counterpart to AKC ADR-0008): four patterns for layering deterministic code and LLM calls in one pipeline, namely guard, filter, judge+enforce, and orchestrator+worker. Curated by hand from patterns running in contemplative-agent.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/code-and-llm-collaboration
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
null
null
null
null
null
null
https://github.com/shimo4228/when-code-when-llm
[ "EcosystemRepo", "SoftwareSourceCode" ]
when-code-when-llm
Frozen public record, no longer synced or developed: an AKC design-pattern skill for the per-task decision between deterministic code and an LLM call (structural vs semantic property, false-positive test). The live sibling code-and-llm-collaboration applies the same axis per pipeline.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/when-code-when-llm
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
null
null
null
null
null
null
https://github.com/shimo4228/signal-first-research
[ "EcosystemRepo", "SoftwareSourceCode" ]
signal-first-research
Frozen public record, no longer synced or developed: an AKC design-pattern skill (the how counterpart to AKC ADR-0010) for designing a research intake filter that admits only information likely to change the next action. The signal-first principle now runs inside the Research phase skill search-first.
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/signal-first-research
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
null
null
null
null
null
null
https://github.com/shimo4228/human-gate
[ "EcosystemRepo", "SoftwareSourceCode" ]
human-gate
Frozen public record: an always-loaded rule plus deterministic hook that fixed what the human approves at an agent's approval gate (machines own artifact correctness, the human owns intent), an operational instance of AKC's line of approval. Retired from the author's harness on 2026-08-02 when the platform absorbed its...
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/human-gate
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
null
null
null
null
null
null
https://github.com/shimo4228/contemplative-agent-rules
[ "EcosystemRepo", "SoftwareSourceCode" ]
contemplative-agent-rules
Drop-in alignment rules implementing the four contemplative axioms, adoptable by Claude Code and other agents.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/contemplative-agent-rules
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19212118
https://shimo4228.github.io/shimo4228/vocab#concept/four-contemplative-axioms
[ "https://shimo4228.github.io/shimo4228/vocab#ref/ailuminate", "https://shimo4228.github.io/shimo4228/vocab#ref/ipd" ]
null
null
null
null
https://github.com/shimo4228/contemplative-agent-cloud
[ "EcosystemRepo", "SoftwareSourceCode" ]
contemplative-agent-cloud
Optional managed-LLM backend that routes generation to Claude or OpenAI APIs while keeping the local embedding pipeline. Opt-in, not bundled.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/contemplative-agent-cloud
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19212118
null
null
null
null
null
null
https://github.com/shimo4228/contemplative-agent-mlx
[ "EcosystemRepo", "SoftwareSourceCode" ]
contemplative-agent-mlx
MLX-based extension for Contemplative Agent on Apple Silicon.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/contemplative-agent-mlx
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19212118
null
null
null
null
null
null
https://github.com/shimo4228/contemplative-agent-data
[ "EcosystemRepo", "SoftwareSourceCode" ]
contemplative-agent-data
Live agent identity, distilled knowledge, constitution, and daily activity reports as an auto-synced public dataset for research.
null
null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/contemplative-agent-data
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19212118
null
null
null
null
null
null
https://github.com/shimo4228/contemplative-agent-otel
[ "EcosystemRepo", "SoftwareSourceCode" ]
contemplative-agent-otel
Offline converter from contemplative-agent's replayable audit JSONL logs to OpenTelemetry OTLP traces with the GenAI semantic conventions. Zero runtime coupling: it reads log files only, and untrusted content bodies are dropped at parse time.
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/contemplative-agent-otel
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null
null
null
null
null
https://doi.org/10.5281/zenodo.19212118
null
null
null
null
null
null
https://github.com/shimo4228/akc-mcp
[ "EcosystemRepo", "SoftwareSourceCode" ]
akc-mcp
MCP server that re-implements contemplative-agent's cognitive layer as standalone tools: memory distillation, identity distillation, skill and rule extraction, constitutional amendment, and skill/rule audits. Tools return proposals without writing to disk, so the calling agent keeps the approval gate; data formats are ...
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/akc-mcp
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19212118
null
null
null
null
null
null
https://github.com/shimo4228/chaos-tdd-fault-injection
[ "EcosystemRepo", "SoftwareSourceCode" ]
chaos-tdd-fault-injection
Agent Skill for chaos-TDD on LLM agent pipelines: deterministic fault injection at existing seams, where the fault-injection test is the specification and the guard ships in the same PR. Curated by hand as the generalization of the operational variant running in contemplative-agent (its ADR-0077).
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/chaos-tdd-fault-injection
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null
null
null
null
null
https://doi.org/10.5281/zenodo.19212118
null
null
null
null
null
null
https://github.com/shimo4228/agent-adoption-triage
[ "EcosystemRepo", "SoftwareSourceCode" ]
agent-adoption-triage
AAP design-pattern skill (the how counterpart to AAP ADR-0009 and ADR-0010): a five-question triage that routes AI work to the Script, Algorithmic Search, LLM Workflow, or Autonomous Agentic Loop quadrant before an agent is built. Curated by hand from the adoption navigator in the AAP repository.
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/agent-adoption-triage
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.19652013
https://shimo4228.github.io/shimo4228/vocab#concept/four-business-ai-quadrants
null
null
null
null
null
https://github.com/shimo4228/agent-observability-patterns
[ "EcosystemRepo", "SoftwareSourceCode" ]
agent-observability-patterns
AAP design-pattern skills (the how counterpart to AAP ADR-0006 and ADR-0005): replayable audit logs, read-only instruments, and shadow-mode validation. Observation precedes intervention.
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/agent-observability-patterns
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null
null
null
null
null
https://doi.org/10.5281/zenodo.19652013
null
null
null
null
null
null
https://github.com/shimo4228/llm-agent-security-principles
[ "EcosystemRepo", "SoftwareSourceCode" ]
llm-agent-security-principles
AAP design-pattern skill (the how counterpart to AAP ADR-0001 through ADR-0004): structural security for autonomous LLM agents through Security by Absence, the Untrusted Content Boundary, and One External Adapter, walked top-down as the prohibition-strength hierarchy.
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/llm-agent-security-principles
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null
null
null
null
null
https://doi.org/10.5281/zenodo.19652013
https://shimo4228.github.io/shimo4228/vocab#concept/prohibition-strength-hierarchy
null
null
null
null
null
https://github.com/shimo4228/doctrine-corpus
[ "EcosystemRepo", "Dataset" ]
doctrine-corpus
Bilingual (EN + JA) judgment-eliciting Q&A corpus across the four sibling practice lines (AKC, Contemplative Agent, AAP, Authorship Strategy) plus published articles. Operational form of Authorship Strategy Layer 4 tactic 7 (LLM-first ingest). Data sibling of Authorship Strategy; corpus is the deliverable, the verifica...
null
null
null
null
null
null
null
null
[ "https://doi.org/10.5281/zenodo.20337008" ]
10.5281/zenodo.20337008
null
https://github.com/shimo4228/doctrine-corpus
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.20263316
null
null
null
null
null
null
https://github.com/shimo4228/existence-proof
[ "EcosystemRepo", "CreativeWork" ]
existence-proof
Pre-line complement beside the Authorship Strategy ecosystem — reuses the same infrastructure pattern (llms.txt / knowledge graph / DOI / distinctive terminology) with a different payload and beneficiary: an empowerment doctrine for people producing verifiable, institution-grade artifacts without degrees, affiliations,...
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null
null
null
null
null
null
null
[ "https://doi.org/10.5281/zenodo.20558800" ]
10.5281/zenodo.20558800
null
https://github.com/shimo4228/existence-proof
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null
null
null
null
https://github.com/shimo4228/shimo4228
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null
null
null
null
null
null
https://github.com/shimo4228/einstein-arena
[ "EcosystemRepo", "SoftwareSourceCode" ]
einstein-arena
Worked instance of the Existence Proof Format defined in existence-proof. An autonomous agent, directed by the author and run under the same approval-gated harness, reached a server-verified top score on EinsteinArena's Prime Number Theorem construction problem: the server score equals the local score to all digits (0....
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/einstein-arena
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null
null
null
null
https://github.com/shimo4228/shimo4228
null
null
null
null
null
null
null
https://github.com/shimo4228/claude-harness
[ "EcosystemRepo", "SoftwareSourceCode" ]
claude-harness
Public artifact of shimo4228's daily-use Claude Code harness, mechanically collected from ~/.claude/ by the origin: shimo4228 frontmatter tag. ECC-derived components excluded.
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/claude-harness
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null
null
null
null
null
https://doi.org/10.5281/zenodo.19200726
null
null
null
null
null
null
https://github.com/shimo4228/harness-scope
[ "EcosystemRepo", "SoftwareSourceCode" ]
harness-scope
Claude Code Mod that turns the global skills, agents, instruction files, and tools on or off per repository with named profiles: one global harness, each repo picks what Claude sees. Listed in Anthropic's Claude plugin directory.
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/harness-scope
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null
null
null
null
https://github.com/shimo4228/shimo4228
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null
null
null
null
null
null
https://github.com/shimo4228/harness-pruning
[ "EcosystemRepo", "CreativeWork" ]
harness-pruning
A dated record of what came out of the author's Claude Code harness: every skill, rule, agent, and hook retirement that has a decision record behind it, with the reason and evidence for each. A record, not an argument.
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/harness-pruning
null
null
null
null
null
https://github.com/shimo4228/shimo4228
null
null
null
null
null
null
null
https://github.com/shimo4228/herdr-toolkit
[ "EcosystemRepo", "SoftwareSourceCode" ]
herdr-toolkit
Claude Code plugin for running Claude Code on top of the Herdr terminal agent multiplexer: spawns detached Remote Control sessions for any project directory, typically from the Claude mobile app. Independent companion to Herdr, not affiliated with upstream.
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/herdr-toolkit
null
null
null
null
null
https://github.com/shimo4228/shimo4228
null
null
null
null
null
null
null
https://github.com/shimo4228/codex-review
[ "EcosystemRepo", "SoftwareSourceCode" ]
codex-review
Frozen public record, no longer synced or developed: a read-only Claude Code skill wrapping the OpenAI Codex CLI so a different model family reviews a diff, one cross-model seam for decorrelated judgment.
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/codex-review
null
null
null
null
null
https://github.com/shimo4228/shimo4228
null
null
null
null
null
null
null
https://github.com/shimo4228/jev-skill-router
[ "EcosystemRepo", "SoftwareSourceCode" ]
jev-skill-router
Reference implementation for Jev builders: a Claude Code UserPromptSubmit hook that asks TypeSafe Jev which installed skill fits the prompt and logs the recommendation (shadow mode by default; an inject mode adds a one-line hint). The author ran it for a week and removed it; the README keeps what transfers to other Jev...
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/jev-skill-router
null
null
null
null
null
https://github.com/shimo4228/shimo4228
null
null
null
null
null
null
null
https://github.com/shimo4228/jev-research-pipeline
[ "EcosystemRepo", "SoftwareSourceCode" ]
jev-research-pipeline
Daily monitoring of standing research questions built on TypeSafe Jev: Python code owns the loop, Jev screens new papers and repositories with typed probabilities, and an LLM of the user's choice writes only the prose into an Obsidian vault.
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/jev-research-pipeline
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null
null
null
null
https://github.com/shimo4228/shimo4228
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null
null
null
null
null
null
https://github.com/shimo4228/zenn-content
[ "EcosystemRepo", "SoftwareSourceCode" ]
zenn-content
Source of truth for the long-form writing — Markdown sources, versioned. Browser views are mirrored on Zenn (Japanese) and Dev.to (English).
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/zenn-content
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null
null
null
null
https://github.com/shimo4228/shimo4228
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null
null
null
null
null
null
https://github.com/shimo4228/llms-txt-writer
[ "EcosystemRepo", "SoftwareSourceCode" ]
llms-txt-writer
Component skill of the Authorship Strategy line. Operational form of the Layer 4 structured-artifact tactic naming the Answer.AI llms.txt convention. Writes AI-facing documents (llms.txt / llms-full.txt / FAQ / glossary) optimized for citation by ChatGPT, Perplexity, and Gemini.
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/llms-txt-writer
null
null
null
null
null
null
https://doi.org/10.5281/zenodo.20263316
null
null
null
null
null
null
https://github.com/shimo4228/daily-research
[ "EcosystemRepo", "SoftwareSourceCode" ]
daily-research
Research feedback engine for the user's own research repositories: macOS launchd runs Claude Code (claude -p) each morning with a rotation-picked line's repo as its working directory; it picks one external development that matters to that repo and writes an explanatory note to an Obsidian vault.
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/daily-research
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null
null
null
null
https://github.com/shimo4228/shimo4228
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null
null
null
null
null
null
https://github.com/shimo4228/jsonld-knowledge-graph
[ "EcosystemRepo", "SoftwareSourceCode" ]
jsonld-knowledge-graph
Component skill of the Authorship Strategy line. Operational form of the Layer 4 structured-artifact tactic naming the JSON-LD knowledge graph. Designs and ships a companion graph.jsonld next to llms.txt for projects with stable concept-level structure, encoding domain entities and relationships as schema.org triples f...
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null
null
null
null
null
null
null
null
null
null
https://github.com/shimo4228/jsonld-knowledge-graph
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null
null
null
null
null
https://doi.org/10.5281/zenodo.20263316
null
null
null
null
null
null
https://github.com/shimo4228/claude-skill-writing-ecosystem
[ "EcosystemRepo", "SoftwareSourceCode" ]
writing-ecosystem
Orchestrator for human-facing writing & review. Holds the AI-slop banned list (Japanese + English), Voice rules (だ/である × 発見調), title conventions, and the role-boundary map across the review agents it bundles (editor, essay-reviewer, fact-checker, and others). Audience-paired with llms-txt-writer.
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null
null
null
null
https://github.com/shimo4228/claude-skill-writing-ecosystem
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null
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https://github.com/shimo4228/shimo4228
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null
https://github.com/shimo4228/authorship-strategy-skill
[ "EcosystemRepo", "SoftwareSourceCode" ]
authorship-strategy (skill)
Component skill of the Authorship Strategy line. Operational form of the four-layer judgment checklist, prohibited and encouraged actions, and trigger conditions. Loadable into LLM-based coding agents as a rule set.
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https://github.com/shimo4228/authorship-strategy-skill
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https://doi.org/10.5281/zenodo.20263316
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null
https://github.com/shimo4228/release-doi
[ "EcosystemRepo", "SoftwareSourceCode" ]
release-doi
Component skill of the Authorship Strategy line. Release-time workflow operationalizing the identifier-federation triplet (ADRs 0001-0003) as a five-phase verify-and-deposit runbook for DOI-registered research repositories.
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https://github.com/shimo4228/release-doi
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null
https://doi.org/10.5281/zenodo.20263316
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null
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null
https://github.com/shimo4228/citation-sync
[ "EcosystemRepo", "SoftwareSourceCode" ]
citation-sync
Component skill of the Authorship Strategy line, supporting the citation-graph federation tactic of Layer 4. Audits and syncs the citation layers of a research repository (in-text citations in docs, .zenodo.json references, graph.jsonld ExternalReference nodes) bottom-up, deferring single-layer work to release-doi and ...
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https://github.com/shimo4228/citation-sync
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null
https://doi.org/10.5281/zenodo.20263316
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null
https://github.com/shimo4228/authorship-strategy-rules
[ "EcosystemRepo", "SoftwareSourceCode" ]
authorship-strategy-rules
Frozen public record, no longer synced or developed: the Authorship Strategy judgment framework as a single always-loaded rules file. Superseded by the live component skill authorship-strategy-skill, which holds the whole content.
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https://github.com/shimo4228/authorship-strategy-rules
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https://doi.org/10.5281/zenodo.20263316
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null
null
null
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null
https://github.com/shimo4228/readme-writer
[ "EcosystemRepo", "SoftwareSourceCode" ]
readme-writer
Component skill of the Authorship Strategy line. Human-surface counterpart to the LLM-first ingest pair — writes the single canonical human + search + AI-Overviews README, splitting deterministic structural lint from never-scored holistic review.
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https://github.com/shimo4228/readme-writer
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https://doi.org/10.5281/zenodo.20263316
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https://github.com/shimo4228/claude-skill-paper-ecosystem
[ "EcosystemRepo", "SoftwareSourceCode" ]
paper-ecosystem
Academic paper write/review bundle for SSRN / arXiv / Zenodo / journal venues — an orchestrator skill plus a draft skill plus five reviewer agents (paper-reviewer, source-fidelity-checker, vocabulary-consistency-checker, clarity-reviewer, citation-formatter) bundled together. Adjacent skill (no extends edge); keeps the...
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https://github.com/shimo4228/claude-skill-paper-ecosystem
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https://github.com/shimo4228/shimo4228
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https://github.com/shimo4228/edge-frontier
[ "EcosystemRepo", "CreativeWork" ]
edge-frontier
Other public repository (Japanese): a case ledger of people pushing AI use far past the usual in intensity and range (breakthrough, collapse, and everyday-cognition edges), collected for transferable techniques and updated by daily-research's edge line. A practitioner's collection, not academic research.
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https://github.com/shimo4228/edge-frontier
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https://github.com/shimo4228/shimo4228
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https://github.com/shimo4228/desire-frontier
[ "EcosystemRepo", "CreativeWork" ]
desire-frontier
Other public repository (Japanese): an observation line on the demand-side frontier, asking where value lives once AI has exhausted what a person wants to ask of it. Longitudinal observations, concepts, testimonies, and essays; a practitioner's record, not academic research.
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https://github.com/shimo4228/desire-frontier
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https://github.com/shimo4228/shimo4228
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https://github.com/shimo4228/pdf2anki
[ "EcosystemRepo", "SoftwareSourceCode" ]
pdf2anki
Other public repository: a CLI that generates Anki cards from PDF, text, and Markdown files with Claude, with Vision-based image cards, an interactive review TUI, extraction caching, and LLM critique for quality assurance.
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https://github.com/shimo4228/pdf2anki
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https://github.com/shimo4228/shimo4228
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https://github.com/shimo4228/tiny-lm-lab
[ "EcosystemRepo", "SoftwareSourceCode" ]
tiny-lm-lab
Other public repository (Japanese): a learning lab that hand-writes a char-level decoder-only GPT on MLX primitives, without ready-made transformer modules, and trains it on the author's own article corpus.
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https://github.com/shimo4228/tiny-lm-lab
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https://github.com/shimo4228/shimo4228
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https://github.com/shimo4228/active-inference-viz
[ "EcosystemRepo", "SoftwareSourceCode" ]
active-inference-viz
Other public repository: an interactive Streamlit dashboard visualizing active-inference reaching (belief dynamics, free energy, arm kinematics), a pure NumPy reimplementation of Priorelli et al. (2025).
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https://github.com/shimo4228/active-inference-viz
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https://github.com/shimo4228/shimo4228
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https://github.com/shimo4228/shimo4228#traffic-dataset
[ "Dataset", "CreativeWork" ]
shimo4228 GitHub Traffic Snapshots
Daily append-only JSONL snapshots of the GitHub Traffic API for the public research repositories. Auto-generated companion dataset; observed data, not curated content.
https://github.com/shimo4228/shimo4228
{ "@id": "https://orcid.org/0009-0002-6168-4162" }
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https://shimo4228.github.io/shimo4228/traffic/dashboard/
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https://creativecommons.org/publicdomain/zero/1.0/
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https://github.com/shimo4228/shimo4228#probe-dataset
[ "Dataset", "CreativeWork" ]
shimo4228 LLM Attribution-Diffusion Probes
Scheduled two-channel probes of frontier LLMs measuring whether the research concepts of @shimo4228's program — and the author — surface in model answers. A parametric channel (web search off, probing trained-in knowledge) and a retrieval channel (web search on, probing grounded citation) are kept strictly separate per...
https://github.com/shimo4228/shimo4228
{ "@id": "https://orcid.org/0009-0002-6168-4162" }
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null
{ "@id": "https://doi.org/10.5281/zenodo.20263316" }
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https://shimo4228.github.io/shimo4228/traffic/dashboard/
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https://creativecommons.org/publicdomain/zero/1.0/
Deterministic regex detection over scheduled frontier-LLM probe responses, run on two separate channels (parametric / retrieval)
[ "author_named (in prose)", "project_named", "doi_or_url_cited", "ghost_citation (derived)" ]
[ { "@type": "DataDownload", "name": "parametric channel (web search off)", "encodingFormat": "application/x-ndjson", "contentUrl": "https://shimo4228.github.io/shimo4228/probes/data/parametric.jsonl" }, { "@type": "DataDownload", "name": "retrieval channel (web search on)", "encodingF...
https://arxiv.org/abs/2504.15125
[ "ExternalReference", "ScholarlyArticle" ]
Laukkonen et al. (2025). Contemplative Artificial Intelligence
Source of the four contemplative axioms (mindfulness, emptiness, non-duality, boundless care) grounding the Contemplative Agent line.
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arXiv:2504.15125
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https://arxiv.org/abs/2504.15125
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https://shimo4228.github.io/shimo4228/vocab#ref/ailuminate
[ "ExternalReference", "CreativeWork" ]
MLCommons AILuminate safety benchmark (2024)
Evaluation benchmark used by contemplative-agent-rules (Cohen's d = 0.96).
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https://shimo4228.github.io/shimo4228/vocab#ref/ipd
[ "ExternalReference", "ScholarlyArticle" ]
Axelrod (1984). The Evolution of Cooperation
Iterated Prisoner's Dilemma cooperation-improvement benchmark used by contemplative-agent-rules (Cohen's d > 7).
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https://llmstxt.org/
[ "ExternalReference", "CreativeWork" ]
Howard, J. (2024). llms.txt proposal
Answer.AI llms.txt standard followed by the llms.txt and llms-full.txt files in this hub repo.
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https://llmstxt.org/
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shimo4228 Research Program Hub — Knowledge Graph

JSON-LD federation index linking the five sibling research lines of the shimo4228 research program — three agent-design lines (Agent Knowledge Cycle, Contemplative Agent, Agent Attribution Practice) and two cross-cutting lines (Authorship Strategy, Attention Not Self) — together with their ecosystem repositories. The program's through-line is value-layer harness engineering: extending the engineered agent harness past tools, permissions, and evals up to norms, constitutions, and values, and governing those top layers with the same human-gated cycle as every layer below (encoded in the graph as the hub-defined concept node value-layer-harness-engineering).

What this dataset is

This dataset is a mirror of the graph.jsonld file at the root of the shimo4228 hub GitHub repository (shimo4228/shimo4228 — GitHub's user-profile repo, repurposed as a research program hub). It is provided here as the federation entry point for crawlers and LLM training pipelines: from this graph, every sibling line and ecosystem repo can be discovered via siblingOf, derivesFrom, and mainEntity edges.

Why the dataset name research-program-hub rather than shimo4228 (the GitHub repo name): on Hugging Face, content is read primarily by its name, not by an account context. research-program-hub makes the dataset's role (federation index for a research program) legible at first glance, while the GitHub origin remains in the canonical-source link below.

Files

File Purpose
graph.jsonld Canonical JSON-LD form (hand-curated). Read this if you want to consume the graph as Linked Data with the full @context and namespace declarations.
graph.jsonl Row-wise flattened version of the @graph array (one per line). Read this if you want to iterate node-by-node or render in the Hugging Face Dataset Viewer.

The two files contain identical data. graph.jsonl is generated mechanically from graph.jsonld via:

jq -c '.["@graph"][]' graph.jsonld > graph.jsonl

What the graph encodes

A federation index across five sibling research lines and their ecosystem repos:

  • Five sibling research lines, in two clusters:
    • Agent-design cluster: Agent Knowledge Cycle (mechanism — six-phase bidirectional growth loop), Contemplative Agent (reference implementation — four axioms + memory dynamics), Agent Attribution Practice (content — ADRs + Four Business AI Quadrants on accountability distribution).
    • Cross-cutting cluster: Authorship Strategy (normative framework + tactical catalog for AI-era authenticity inversion, with empirical grounding in the program's own operating ecosystem), Attention Not Self (Buddhist Abhidharma traditions mapped onto contemporary computational phenomenology — predictive processing, active inference, Global Workspace Theory, Parallel Distributed Processing).
    • Each line is encoded with concept DOI, sibling links, and a one-paragraph description.
  • Ecosystem repositories: component skills and supporting repos (the four claude-skill-* repos operationalizing the Authorship Strategy framework, the contemplative-agent-rules four-axiom values layer, the agent-knowledge-cycle ADR notebook, and others). Each links back to its parent sibling via derivesFrom or siblingOf.
  • Sibling-not-dependency relationships at the schema level: the graph schema deliberately has no dependsOn edge type. Sibling research lines are independent enough that none depends on another; they sibling each other. Any reader assuming a dependency tree across the five lines is reading wrong.
  • Concept anchors: shared concepts referenced across sibling lines (six-phase loop, three-layer structure, scaffold dissolution, prohibition-strength hierarchy, three-axis inversion, four-layer judgment stack, attention-as-precision-weighting, etc.) are encoded as concept nodes that any sibling can definesConcept independently.

Why JSON-LD

Each node carries a stable URI in the https://shimo4228.github.io/shimo4228/vocab#... namespace, hosted from the same hub repo as a GitHub Pages vocabulary. This makes the hub URI namespace the global identifier authority for the research program's concepts. The graph is designed to be consumed by:

  • LLM citation infrastructure (training pipelines that want one entry point and can hop to siblings)
  • Knowledge-graph crawlers that prefer Linked Data federation patterns over per-repo silos
  • Tools that render the sibling-line federation as a navigable concept map

Why a "hub" at all

Each sibling line is independently DOI-versioned and citable. The hub does not duplicate that content; it provides a machine-readable navigation index so that an LLM, after picking up any one sibling, can discover the other four without keyword search. Several siblings might end up consumed in isolation; the hub closes the loop.

The federation pattern is the same as the role schema.org plays for the open web, or SKOS plays for thesauri: a hub vocabulary that other vocabularies declare alignment with.

Sibling datasets (on Hugging Face)

Sibling Cluster Hugging Face dataset Role
Agent Knowledge Cycle agent-design Shimo4228/agent-knowledge-cycle Mechanism — six-phase bidirectional growth loop
Contemplative Agent agent-design Shimo4228/contemplative-agent Reference implementation — four axioms + memory dynamics
Agent Attribution Practice (AAP) agent-design Shimo4228/agent-attribution-practice Content — ADRs + Business AI Quadrants on accountability distribution
Authorship Strategy cross-cutting Shimo4228/authorship-strategy Doctrine — three-axis inversion + four-layer judgment stack for AI-era authorship
Attention, Not Self cross-cutting Shimo4228/attention-not-self Cross-tradition mapping — Buddhist Abhidharma meets computational phenomenology

Citation

The hub itself is not a citable artifact. Cite the relevant sibling line(s) instead. Use the concept DOI (which always resolves to the latest version) rather than a per-version DOI:

@software{shimomoto_akc_2026,
  author    = {Shimomoto, Tatsuya},
  title     = {Agent Knowledge Cycle (AKC)},
  doi       = {10.5281/zenodo.19200726},
  url       = {https://github.com/shimo4228/agent-knowledge-cycle},
  orcid     = {0009-0002-6168-4162}
}

@software{shimomoto_contemplative_2026,
  author    = {Shimomoto, Tatsuya},
  title     = {Contemplative Agent},
  doi       = {10.5281/zenodo.19212118},
  url       = {https://github.com/shimo4228/contemplative-agent},
  orcid     = {0009-0002-6168-4162}
}

@software{shimomoto_aap_2026,
  author    = {Shimomoto, Tatsuya},
  title     = {Agent Attribution Practice (AAP)},
  doi       = {10.5281/zenodo.19652013},
  url       = {https://github.com/shimo4228/agent-attribution-practice},
  orcid     = {0009-0002-6168-4162}
}

@software{shimomoto_authorship_strategy_2026,
  author    = {Shimomoto, Tatsuya},
  title     = {Authorship Strategy: A Normative Framework and Tactical
               Catalog for AI-Era Authenticity Inversion, with
               Empirical Grounding from a Four-Repository Research
               Ecosystem},
  doi       = {10.5281/zenodo.20263316},
  url       = {https://github.com/shimo4228/authorship-strategy},
  orcid     = {0009-0002-6168-4162}
}

@misc{shimomoto_attention_not_self_2026,
  author    = {Shimomoto, Tatsuya},
  title     = {Attention, Not Self: Buddhist Abhidharma Meets
               Computational Phenomenology},
  doi       = {10.5281/zenodo.20262112},
  url       = {https://github.com/shimo4228/attention-not-self},
  orcid     = {0009-0002-6168-4162}
}

License

CC BY 4.0. Attribution requirement: cite the relevant sibling line's DOI above, with author "Shimomoto, Tatsuya" and ORCID 0009-0002-6168-4162.

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