shimo4228 Hub Knowledge Graph

@type: Dataset CreativeWork

description: Canonical machine-readable relationship map for the shimo4228 hub repository — five sibling research 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 summarizing the hub or following individual repo links. Encodes sibling-not-dependency relationships at the schema level (no `dependsOn` edge type exists). This hub graph stays at membership level; each ResearchLine node points to its fine-grained line-level graph via `subjectOf` — follow that link for per-line detail instead of expecting it here.


Agent Knowledge Cycle

@type: ResearchLine ScholarlyArticle

@value: Agent Knowledge Cycle

@language: en

@value: エージェント知識サイクル

@language: ja

description: 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.

@type: Dataset

name: Agent Knowledge Cycle line-level knowledge graph

encodingFormat: application/ld+json


Contemplative Agent

@value: Contemplative Agent

@value: 観想的エージェント

description: 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 9B stack on a single Apple Silicon Mac. Asks whether an agent's alignment can come from what it is rather than what it is told. Refers to a disposition. Shares Buddhist phenomenological vocabulary with the Attention, Not Self line, but applies it as agent behavioral preset rather than as comparative cognitive framework.

name: Contemplative Agent line-level knowledge graph


Agent Attribution Practice

@value: Agent Attribution Practice

@value: エージェント帰責実践

description: 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 project identifiers. Refers to a practice.

name: Agent Attribution Practice line-level knowledge graph


Authorship Strategy

@value: Authorship Strategy

@value: 著者戦略

description: 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). The tactical catalog clusters into the identifier-federation triplet, a maintenance-discipline pair, and an LLM-first ingest decision via dual entry points — all extracted from operating this very research ecosystem. Refers to a methodology — the strategy of authorship itself under the new substrate.

name: Authorship Strategy line-level knowledge graph


Attention, Not Self

@value: Attention, Not Self

@value: アテンション、ノット・セルフ

description: 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 perspective of "attention, not self," juxtaposes ancient classifications of cognitive process with contemporary computational models. Refers to a cross-disciplinary inquiry — Buddhist phenomenology meeting computational cognitive science. Shares Buddhist phenomenological vocabulary with the Contemplative Agent line, but uses it as comparative cognitive framework rather than as agent behavioral preset.

name: Attention, Not Self line-level knowledge graph


six-phase loop

@type: Concept DefinedTerm

@value: six-phase loop

@value: 六相ループ

description: Bidirectional growth loop running Research, Extract, Curate, Promote, Measure, Maintain. Each phase binds to one composable skill. The cycle stays stable even as individual skills evolve.


three-layer structure

@value: three-layer structure

@value: 三層構造

description: 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.


scaffold dissolution

@value: scaffold dissolution

@value: 足場の溶解

description: 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.


four contemplative axioms

@value: four contemplative axioms

@value: 四公理

description: Mindfulness, emptiness, non-duality, boundless care. Behavioral preset adopted from Laukkonen et al. (2025) that shifts alignment from external instruction toward internal disposition.


security-by-absence

@value: security-by-absence

@value: 不在による安全

description: 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.


Four Business AI Quadrants

@value: Four Business AI Quadrants

@value: ビジネスAIの四象限

description: AAP's diagnostic frame for routing work to the architecture that preserves attribution: Script, Algorithmic Search, LLM Workflow, Autonomous Agentic Loop.


prohibition-strength hierarchy

@value: prohibition-strength hierarchy

@value: 禁止強度の階層

description: 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.


three-axis inversion

@value: three-axis inversion

@value: 3 軸反転

description: 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 internally inconsistent.


four-layer framework

@value: four-layer framework

@value: 4 層 framework

description: 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.


identifier-federation triplet

@value: identifier-federation triplet

@value: 識別子 federation triplet

description: 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.


dual entry point

@value: dual entry point

description: 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 addresses a distinct LLM-mediated reader sub-population the other cannot reach. The pair is the operational embodiment of the enclosure-to-openness axis on the ingest surface.


intrinsic identifier layer

@value: intrinsic identifier layer

@value: intrinsic identifier 層

description: 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 failure mode: if the DOI registry disappears the intrinsic identifier still verifies, and if the content is lost the DOI record still cites. It extends the identifier-federation triplet, and for artifact genres where DOI registration is impractical it serves as the substitute priority-claim mechanism. Archival in a content-addressed software archive also opens a parametric-channel ingest surface for code-focused training corpora.


three Abhidharma traditions

@value: three Abhidharma traditions

@value: 三大アビダルマ伝統

description: 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.


attention not self

@value: attention, not self

@value: アテンション、ノット・セルフ

description: 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 and contemporary computational phenomenology.


value-layer harness engineering

@value: value-layer harness engineering

@value: 価値層ハーネス工学

description: 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 agent harness normally keeps task regulation (coding conventions, security policy, writing style) also carry value norms — contemplative axioms, an authorship judgment stack — so the AI is designed as a companion in long-term value judgment, not only a task optimizer. Value-layer material rides AKC's genre-neutral cycle — the same machinery that distills session patterns into coding rules (Extract, Promote, Measure) carries value norms into the rules layer — and is placed at the layer the prohibition-strength hierarchy prescribes (AAP); Contemplative Agent designs the layer explicitly as Identity and Constitution, human-gates every promotion into them, and observes how they change through the agent's own social activity. Operational, not merely declarative: a constitution that is only declared is configuration; one that is promoted, measured, and audited is engineered. Self-hosted in the author's daily working harness, with claude-harness as the public snapshot. Attention, Not Self supplies the contemplative content of the value layer; Authorship Strategy is the diffusion methodology, not part of the vertical axis.


@type: Paper ScholarlyArticle

name: Harness Alignment and Harness Drift: Why Intent, Unlike Correctness, Resists Automation

description: Position paper of the Agent Knowledge Cycle line, deposited as a standalone Zenodo record and mirrored on SSRN.


name: Distributing Accountability, Not Capability: Phase Separation and the LLM Workflow Quadrant in Autonomous AI Agent Architectures

description: Companion paper of the Agent Attribution Practice line, deposited as a standalone Zenodo record and mirrored on SSRN.


name: The Two-Layer Black Box: Operator Visibility, Commercial Secrecy, and a Minimum Disclosure Set for Accountable Autonomous AI Agents


akc-cycle

@type: EcosystemRepo SoftwareSourceCode

description: AKC as a single behavioral rules file: install all six phases without the six standalone skills.


search-first

description: AKC Research phase skill: search existing solutions before building.


learn-eval

description: AKC Extract phase skill: extract reusable patterns with quality gates.


skill-stocktake

description: AKC Curate phase skill: audit skills for staleness, conflicts, redundancy.


skill-health

description: AKC Curate phase skill: scan skill libraries for structural debt, including missing scripts, agents, and sibling-skill references.


rules-stocktake

description: AKC Curate phase skill: audit always-loaded rules for residency cost, staleness, and substrate absorption.


rules-distill

description: AKC Promote phase skill: distill cross-cutting principles into rules.


skill-comply

description: AKC Measure phase skill: test whether agents follow their skills and rules.


context-sync

description: AKC Maintain phase skill: audit docs for role overlaps and stale content.


contemplative-agent-rules

description: Drop-in Claude Code rules implementing the four contemplative axioms.


contemplative-agent-cloud

description: Optional managed-LLM backend that routes generation to Claude or OpenAI APIs while keeping the local embedding pipeline. Opt-in, not bundled.


contemplative-agent-mlx

description: MLX-based extension for Contemplative Agent on Apple Silicon.


contemplative-agent-data

description: Live agent identity, knowledge, and episode logs as an auto-synced public dataset for research.


doctrine-corpus

@type: EcosystemRepo Dataset

description: Bilingual (EN + JA) judgment-eliciting Q&A corpus across the four sibling research 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 verification LoRA was a disposable probe. CC0 to maximize diffusion.


existence-proof

@type: EcosystemRepo CreativeWork

description: 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, or professional credentials. Supplies the Existence Proof Format, a feasibility-question corpus with anchored answers, and a published gatekeeping eval. Deliberately carries no extends edge: it operationalizes no Layer 4 tactic and is not a sibling research line (pre-line status). Japanese is the canonical language.


einstein-arena

description: 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 (0.9955806), beating the prior published best (0.994901) by +0.00068 while holding the clean g(x) <= 1 bound rather than the 1.0001 tolerance the prior top spent. The author holds no degree or research background in mathematics or numerical optimization; the AI is the path and the result is the author's to account for (consistent with the AAP operator-accountability framing). Filed as Existence Proof Format instance #1, anchored to the public repository and the arena platform. Deliberately carries no extends edge: it operationalizes no Layer 4 tactic and is not a sibling research line — a witness, not a component skill.


claude-harness

description: Public artifact of shimo4228's daily-use Claude Code harness, mechanically collected from ~/.claude/ by the origin: shimo4228 frontmatter tag. ECC-derived components excluded.


zenn-content

description: Source of truth for the long-form writing — Markdown sources, versioned. Browser views are mirrored on Zenn (Japanese) and Dev.to (English).


llms-txt-writer

description: 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.


daily-research

description: Cron-driven daily research digest. Two-pass claude -p pipeline: Opus selects themes, Sonnet researches with WebSearch / WebFetch / Mem0 MCP and writes Markdown reports to an Obsidian vault.


jsonld-knowledge-graph

description: 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 for LLM citation.


writing-ecosystem

description: 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 article-writing, editor, essay-reviewer, fact-checker. Audience-paired with llms-txt-writer.


authorship-strategy (skill)

description: 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.


release-doi

description: 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.


readme-writer

description: 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.


wikidata-federation

description: Component skill of the Authorship Strategy line. Extends the identifier-federation triplet to Wikidata — registers researchers, papers, and DOI-registered repos as QIDs cross-linked with ORCID, DOI, and graph.jsonld sameAs.


paper-ecosystem

description: 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 claude-skill- prefix because it bundles Claude Code subagents.


shimo4228 GitHub Traffic Snapshots

description: Daily append-only JSONL snapshots of the GitHub Traffic API for the public research repositories. Auto-generated companion dataset; observed data, not curated content.


name: shimo4228 LLM Attribution-Diffusion Probes

description: 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 Authorship Strategy ADR-0008/0011; the per-channel contrast is the signal and is never blended into one score. Detection is deterministic regex over response text (author named in prose, project named, owned DOI/URL cited, ghost-citation derived), not LLM judgement. Append-only JSONL; preliminary observation, not evidence.

measurementTechnique: Deterministic regex detection over scheduled frontier-LLM probe responses, run on two separate channels (parametric / retrieval)

parametric channel (web search off)

@type: DataDownload

encodingFormat: application/x-ndjson


@type: ExternalReference ScholarlyArticle

name: Laukkonen et al. (2025). Contemplative Artificial Intelligence

description: Source of the four contemplative axioms (mindfulness, emptiness, non-duality, boundless care) grounding the Contemplative Agent line.


@type: ExternalReference CreativeWork

name: MLCommons AILuminate safety benchmark (2024)

description: Evaluation benchmark used by contemplative-agent-rules (Cohen's d = 0.96).


name: Axelrod (1984). The Evolution of Cooperation

description: Iterated Prisoner's Dilemma cooperation-improvement benchmark used by contemplative-agent-rules (Cohen's d > 7).


Howard, J. (2024). llms.txt proposal

description: Answer.AI llms.txt standard followed by the llms.txt and llms-full.txt files in this hub repo.