by minorun365 · AI Tool · ★ 56
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 56 |
| Forks | 1 |
| Language | Python |
| Category | AI Tool |
| License | Apache-2.0 |
| Quality Score | 58/100 |
| Last Updated | 2026-09-30 |
| Created | 2026-09-25 |
| Platforms | claude-code, python |
| Est. Tokens | ~2k |
claude-code-japanese-guard Claude Code の応答が、いつの間にか英語に切り替わるのを止める Stop hook です。 日本語で指示していても、ツールを何度も呼ぶ長い作業のあとや、英語のツール出力を読んだ直後に、途中報告や最終報告が英語で返ってくることがあります。CLAUDE.md に「日本語で応答する」と書いても、この切り替わりは止まりませんでした。そこで、ターンの終わりに本文を機械で検査し、英語だったら日本語で書き直させる hook を作りました。 動き Claude がターンを終えようとすると、Stop hook が最後の応答の本文（hook の入力 ）と会話の記録（transcript）を読みます そのターンの最終回答（最後のツール呼び出しより後に Claude が書いた本文）を取り出し、英字と日本語の文字数を数えます...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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