humanizer-ja: AIくさい日本語を人間が書いた文章に変換するClaude Codeスキル。20パターンのチェックリスト+書き換えガイド

by gonta223 · Claude Skill · ★ 153

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Security audit verdict: SAFE · quality 59/100

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.

ai-writingclaude-codehumanizerjapanese

Quick Facts

Stars153
Forks9
CategoryClaude Skill
LicenseMIT
Quality Score59/100
Open Issues1
Last Updated2026-03-23
Created2026-01-27
Platformsclaude-code
Est. Tokens~1k

About humanizer-ja

Humanizer JA 🇯🇵 AIくさい日本語を、人間が書いた文章に変換するClaude Codeスキル。 これは何? Claude、ChatGPT、Gemini等が生成した日本語テキストには、特有の「AIっぽさ」があります。「浮き彫りにしており」「今後の展開が注目されます」「速度: 高速化」——こういった表現は、人間はまず使いません。 このスキルは、そういったAIパターンを20項目に分類し、Claude Codeが文章を生成する時点で自動的に回避するようにするものです。 インストール 使い方 Claude Codeで文章を生成した後: または、文章生成時に最初から指定: 何をチェックするか(20パターン) blader/humanizer との違い blader/humanizer(英語版、10,000+ stars)にインスパイアされていますが、以下が異なります: 日本語特化:...

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How this security grade is produced

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.

Sources & who's responsible:

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