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None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
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 | 296 |
| Forks | 43 |
| Language | JavaScript |
| Category | AI Tool |
| Quality Score | 45/100 |
| Open Issues | 4 |
| Last Updated | 2019-02-22 |
| Created | 2017-09-12 |
| Platforms | node |
| Est. Tokens | ~14k |
Mindmap2slide This is a tool for converting textbundle (exported from Mindnode) to Reveal.js Slides. 场景 有一天给研究生上课，几个学生分别上讲台展示仿真建模作业。 我打开笔记本电脑，一边开着仿真工具验证他们的代码，一边用思维导图软件记录他们讲解中出现的问题。 问题过多的时候，我示意学生下来。走上讲台，插上优盘，打开了一个幻灯。幻灯图文并茂，针对刚才模型解释和展示中的问题一一作了反馈。 学生们看得目瞪口呆。 倒不是因为我的幻灯做得有多么漂亮，而是他们心里有个大大的疑惑： “老师，这个幻灯您是刚刚现场做的？” “对啊。” “啊？！……这么快？” 面对学生将信将疑，我把他们叫到了我的座位那里，打开笔记本，给他们看了我的思维导图。...
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: