Borrowing it
Nothing to install: this file belongs to sei-newbear/xp-harness. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sei-newbear/xp-harness/main/.claude/skills/disclosure-guard/SKILL.mdgit clone --depth 1 https://github.com/sei-newbear/xp-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/sei-newbear/xp-harness/disclosure-guard)<a href="https://agentmods.dev/skills/sei-newbear/xp-harness/disclosure-guard"><img src="https://agentmods.dev/badge/skills/sei-newbear/xp-harness/disclosure-guard/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/sei-newbear/xp-harness/disclosure-guard"><img src="https://agentmods.dev/badge/skills/sei-newbear/xp-harness/disclosure-guard.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 | $0.00134 | $0.00909 |
| Opus 5 | $0.00067 | $0.00454 |
| Sonnet 5 | $0.00027 | $0.00182 |
| Haiku 4.5 | $0.00013 | $0.00091 |
Grade A, and why
disclosure-guard 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 9d 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.
What it actually says
公開前の固有名詞混入ガード
なぜこのスキルがあるか
このリポジトリの改修は、実際のプロジェクトを分析・検証した知見を、ふりかえりやドキュメント・カードとして記録する作業を含む。その「内部の知見 → 公開リポジトリへの記録」の段で、会社名・内部リポ名・顧客名などの組織固有の固有名詞が、意図せず公開 git 履歴に混入するリスクがある。
公開リポジトリの git 履歴は遡れて消せない。一度コミットに入った固有名詞は実質永久に残る＝インシデント。main session の注意力だけに頼らず、外に出す前に独立点検を必ず通す ための規律をここに置く。
いつ通すか
内部由来の知見を含む変更を、公開リポジトリにコミット / push する前 に通す。具体的には:
- ふりかえりの結果を記録するとき
- 実プロジェクトの検証・観察から得た知見を、カード・ドキュメント・skill に反映するとき
- 上記に類する、外部の利用実態に触れた内容を公開リポに出すとき
純粋に harness 内部の設計変更だけ（実プロジェクトに一切触れていない）なら不要。迷ったら通す（通すコストは小さく、漏れたコストは取り返せない）。
どう通すか
コミット / push の前に、disclosure-auditor subagent を呼ぶ。
- 対象: これから公開リポに出す差分（staged diff）、または対象ファイルを指定する
- subagent が会話文脈なしの独立視点で読み、組織固有の固有名詞を flag する
- FLAGGED が出たら、コミット / push しない。該当箇所を一般化・除去してから、もう一度通す
- CLEAN を得てから 外に出す
なぜ subagent（独立点検）か
main session は会話の文脈を持つので「これは匿名化した」「文脈的に大丈夫」と自分の判断を甘くしがち。また、自分が思いついた語を grep で探すだけでは、リストに無い固有名詞を取りこぼす。会話文脈を持たない subagent が、書かれたものだけを読んで判断する ことで、その甘さと取りこぼしを破る。
何を防ぎ、何を防がないか
- 防ぐ: 組織固有の固有名詞の、公開リポへの混入（何を固有名詞とみなすかの詳細は
disclosure-auditorが持つ） - 防がない: 機密・認証情報（パスワード・トークン・秘密鍵 等）の検査。本機構では扱わない（必要なら別途用意する）
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.
- 9d ago First seen · 41 lines · 134 tokens per session scan A f7b9bc89c611
disclosure-guard is a skill published in the GitHub repository sei-newbear/xp-harness (9 stars, last pushed 1mo ago), licensed MIT. It adds 134 tokens to every session and 909 once invoked, about $0.0007 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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