Borrowing it
Nothing to install: this file belongs to suisya-systems/claude-org-ja. 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/suisya-systems/claude-org-ja/main/.claude/skills/skill-eligibility-check/SKILL.mdgit clone --depth 1 https://github.com/suisya-systems/claude-org-jaWrote 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/suisya-systems/claude-org-ja/skill-eligibility-check)<a href="https://agentmods.dev/skills/suisya-systems/claude-org-ja/skill-eligibility-check"><img src="https://agentmods.dev/badge/skills/suisya-systems/claude-org-ja/skill-eligibility-check/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/suisya-systems/claude-org-ja/skill-eligibility-check"><img src="https://agentmods.dev/badge/skills/suisya-systems/claude-org-ja/skill-eligibility-check.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 | $0.00129 | $0.02398 |
| Opus 5 | $0.00064 | $0.01199 |
| Sonnet 5 | $0.00026 | $0.00480 |
| Haiku 4.5 | $0.00013 | $0.00240 |
Grade A, and why
skill-eligibility-check 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 11d 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
skill-eligibility-check: skill 化判定
作業パターンが新規 work-skill として切り出す価値があるかを 5 シグナルで採点し、 3 値（skill_recommend / candidate_queue / curated_only）で返す。 このスキル自体は skill 生成も人間問い合わせもしない — 判定専用。
なぜ共通スキルか
判定基準が org-retro と org-curate の 2 箇所に分散すると必ず乖離するため。 このスキルを single source of truth として双方から呼ぶ。
入力契約
呼び出し元は以下の構造を渡す:
context: post_retro | curation
pattern_name: <kebab-case の候補 skill 名>
summary: <何を再利用できるかの 1-2 文>
task_ids: [<関連タスク ID>, ...] # optional。post_retro は通常 1 件、curation は空配列可
raw_files: [<knowledge/raw/ のファイルパス>, ...]
steps_outline: # 主要手順の箇条書き
- <step 1>
- <step 2>
- ...
trigger_description: <このパターンが適用される状況を言語化できるか / できないなら空>
decision_criteria: <判断基準や閾値があるか / できないなら空>
output_format: <成果物の再利用可能フォーマット / なければ空>
必須は context / pattern_name / summary / raw_files / steps_outline のみ。
task_ids は raw ノートの標準スキーマに含まれないため curation 文脈では空配列でよい。
trigger_description / decision_criteria / output_format は採点対象そのもので、
空のまま渡すと該当シグナルが 0 点になる。
Step 1: 5 シグナル評価
references/signals.md の定義に従い、各シグナル 0 点 / 1 点で採点する。
| シグナル | 1 点の条件 |
|---|---|
| raw_reappearance | 同パターンの raw 記録が 3 件以上ある |
| steps_complexity | steps_outline が 3 項目以上かつ非自明な判断を含む |
| trigger_articulable | trigger_description が具体的かつ検索可能な語彙で書ける |
| criteria_articulable | decision_criteria に定量閾値または分類ルールがある |
| reusable_output | output_format が他タスクで転用可能な構造を持つ |
詳細な判定手順は references/signals.md を参照。
Step 2: 合計点から 3 値に分岐
| 合計点 | 判定 | 意味 |
|---|---|---|
| 3 点以上 | skill_recommend |
skill 化推奨。候補キューに追加 |
| 2 点 | candidate_queue |
候補止まり。raw に追記し次回の raw_reappearance を待つ |
| 1 点以下 | curated_only |
curated ノートのままで十分 |
閾値を 3 点に置いた根拠: org-retro 旧版の「2 つ以上で推奨」よりやや保守的にし、 候補止まり層を明示的に作ることで、「skill 検索面のノイズ」を予防する。
Step 3: 出力
以下の構造を呼び出し元に返す:
decision: skill_recommend | candidate_queue | curated_only
score: 0-5
matched_signals: [<1 点が付いたシグナル名>, ...]
rationale: <1-2 行の根拠文>
proposed_skill_name: <pattern_name> # skill_recommend / candidate_queue のみ
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.
- 11d ago First seen · 153 lines · 129 tokens per session scan A 4c64c790e4c6
skill-eligibility-check is a skill published in the GitHub repository suisya-systems/claude-org-ja (5 stars, last pushed 5d ago), licensed MIT. It adds 129 tokens to every session and 2,398 once invoked, about $0.0006 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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