stop-ai-slop-jp: 日本語の文章からAI臭を取り除く Claude Skill

by iKora128 · Claude Skill · ★ 470

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How to install stop-ai-slop-jp

git clone https://github.com/iKora128/stop-ai-slop-jp ~/.claude/skills/stop-ai-slop-jp
git clone https://github.com/iKora128/stop-ai-slop-jp <project>/.claude/skills/stop-ai-slop-jp

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 53/100

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.

Quick Facts

Stars470
Forks17
CategoryClaude Skill
LicenseMIT
Quality Score53/100
Last Updated2026-06-11
Created2026-06-09
Platformsclaude-code
Est. Tokens~5k

About stop-ai-slop-jp

English | 日本語 Stop AI Slop(日本語版) 日本語の文章からAI臭を取り除くためのClaude Skill。 hardikpandya/stop-slop の日本語版です。 AI Slopとは 生成AIを用いて大量生産された、低品質で中身を伴わないコンテンツを指す俗語です。 特に文書作成において、AIの成果物は読みやすいこともありますが、多くは中身のないスカスカで意味のない単語の列挙です。 本Skillsはそういった文書を修正するためのものです。 ただし本Skillsは「書き手の不在」については修正できませんので、できる限り自分の言葉を紡ぐことがAI Slopを抜け出せる近道になると思います。 詳しくは note「その文章、AIに書かせただろ」を参照。 概要 AIで下書きした日本語を、公開前にレビュー・修正するための Claude Skill です。...

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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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