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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 | 602 |
| Forks | 56 |
| Category | AI Tool |
| License | Apache-2.0 |
| Quality Score | 34/100 |
| Last Updated | 2024-09-28 |
| Created | 2024-09-28 |
| Est. Tokens | ~15k |
这是啥 开了一个微信公众号( Write Prompt ), 记录最近写的 Prompt, 同步记录一份于此。 效果图 [[file:images/1.png]] [[file:images/2.png]] [[file:images/3.png]] [[file:images/4.png]] [[file:images/5.png]] [[file:images/6.png]] [[file:images/7.png]] [[file:images/8.png]] [[file:images/9.png]] [[file:images/10.png]] [[file:images/11.png]] 公众号 [[file:images/write-prompt-mp.png]]
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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: