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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 | 861 |
| Forks | 87 |
| Category | AI Tool |
| Quality Score | 46/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-17 |
| Created | 2026-01-21 |
| Est. Tokens | ~16k |
De-AI Prompt Enhancer & Writer Booster SKILL 一套中文去 AI 味提示词，打包成 SKILL 格式，适用于 Claude Code、Cursor、Windsurf 等支持 SKILL 调用的工具。核心做的事情就两件：把 AI 生成的中文改得不像 AI 写的，以及复现一个真实作者的写作风格。 上游仓库：https://github.com/op7418/Humanizer-zh 根据这个仓库进行的提示词升级优化 相同的AI每次的效果都不同，不同的AI相互之间的效果也不同。不是百分百去除AI味，只是追求最大限度地去除AI味，让AI生成的内容更耐读。 这套东西有什么 提示词从 7 篇真实作者文章里提炼写作特征，不是泛泛的"写好中文"指南。具体包括：两套写作模式（ 复现作者风格， 做去 AI 味补丁）；一个 24 项 AI...
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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.
Sources & who's responsible: