humanizer-document-zh: 一个 Claude Code Skill,用于识别并移除 LLM 生成论文的典型痕迹。基于知乎高赞回答

by Zeng-xiangkai · Claude Skill · ★ 7

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Security audit verdict: SAFE · quality 54/100

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

Stars7
Forks2
CategoryClaude Skill
Quality Score54/100
Last Updated2026-07-06
Created2026-06-20
Platformsclaude-code
Est. Tokens~4k

About humanizer-document-zh

一个 Claude Code Skill,用于识别并移除 LLM 生成论文的典型痕迹。基于知乎高赞回答(最高 757 赞)、Wikipedia "Signs of AI writing" 等来源,总结了 **28 种常见 AI 写作模式**,配合四层自检体系,系统性地去除"AI 味"。

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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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