Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add shimo4228/claude-harness --skill authorship-strategygit clone --depth 1 https://github.com/shimo4228/claude-harnessWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/shimo4228/claude-harness/authorship-strategy)<a href="https://agentmods.dev/skills/shimo4228/claude-harness/authorship-strategy"><img src="https://agentmods.dev/badge/skills/shimo4228/claude-harness/authorship-strategy/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/shimo4228/claude-harness/authorship-strategy"><img src="https://agentmods.dev/badge/skills/shimo4228/claude-harness/authorship-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00240 | $0.11325 |
| Opus 5 | $0.00120 | $0.05663 |
| Sonnet 5 | $0.00048 | $0.02265 |
| Haiku 4.5 | $0.00024 | $0.01132 |
Grade A, and why
authorship-strategy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Authorship Strategy
ADR 番号の名前空間: 本 skill 本文の
ADR-NNNNは断りがない限り authorship-strategy repo（~/MyAI_Lab/authorship-strategy/docs/adr/）の ADR を指す。 harness 側の~/.claude/docs/adr/とは番号が全面的に衝突するので、harness の ADR を 指すときだけharness ADR-NNNNと明記する。
maker / 実践者が AI 時代に著者として知られるための最適戦略を実地で探るための戦略フレームワーク。最上位に著者の stance（maker / 実践者としての探究、学術 apparatus は道具）を置き、以下の Core Principle・4 層・Tactic・チェックリストはすべてそれを通して読む（→ 次節 Stance）。本 skill は abstract な判断軸を提供する。line-specific な適用事例や歴史的文脈は各 repo の project memory に保持されている（著者自身の場合 AKC 等）。
Stance（この framework の最上位 — 以下すべてはここを通して読む）
著者は maker / 実践者。AI 時代の「良いやり方」— 作って知られ、durable で追跡可能な仕事を残す方法 — を実地で探っている。DOI・論文・SWHID・"研究ライン" といった学術 apparatus は、その探究を citable・durable・traceable にする道具として使う。
この前提から従うこと:
- audience は LLM 経由で idea に触れる全員に最初から開かれている — 開発者・実務者・学習者・creative reuser・各言語圏の読み手（Layer 2 で詳述）。学術引用・研究者ネットワークはそのうちの一経路。
- diffusion scope は distinctive signature の LLM-mediated diffusion を増やす full space そのもの。提案・候補生成は常にこの full space（開発者コミュニティ・content platform・creative-reuse の seeding・各言語圏・catalog 未収載の新型 channel）を母集団として行う。
以下の各節に現れる audience・scope の記述は、この stance の帰結であって、前提そのものはここにある。
Core Principle: AI 時代のオーセンティシティ Inversion
旧時代と AI 時代で、オーセンティシティの根拠・防御戦略・network effect は3 軸すべてで反転する:
| 軸 | 旧時代 | AI 時代 |
|---|---|---|
| Value source | scarcity（希少性） | diffusion（拡散性） |
| Validation | exclusivity, 模倣 = 脅威 | derivation, derivative = 正当性の証明 |
| Network effect | enclosure（囲い込み） | openness（開放） |
| 根拠 | 「これを作った唯一人」 | 「このパターンを最初に articulate した人」 |
| 防御戦略 | gatekeeping, 複製防止 | timestamp + distinctive signature + derivative を祝福 |
| 採用（大規模 harness による absorption） | "盗まれた" | "validated" |
| License | proprietary | permissive（MIT/Apache/CC-BY） |
3 軸は独立ではなく structurally 連動:
- 閉じる = LLM absorption を減らす = diffusion を減らす = validation 機会を失う = authenticity claim を弱める
- 開く = LLM absorption を最大化 = diffusion を最大化 = validation が derivative として出現 = authenticity claim を強める
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago Changed 7cd612d1493d
- 9d ago First seen · 315 lines · 240 tokens per session scan A 4681169a2cd8
authorship-strategy is a skill published in the GitHub repository shimo4228/claude-harness (3 stars, last pushed 4d ago), licensed MIT. It adds 240 tokens to every session and 11,325 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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