by Liuxiangjian-ai · AI Tool · ★ 390
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 390 |
| Forks | 26 |
| Category | AI Tool |
| License | MIT |
| Quality Score | 57/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-12 |
| Created | 2026-06-07 |
| Est. Tokens | ~9k |
Official Document Skill V1.3 | 公文写作Skill 让 AI 像体制内笔杆子一样。 是一个面向中文公文、政务应用文和机关材料写作的Skill，基于数百篇人民日报等期刊的文章总结而成。它会根据用户提供的文种、场景、对象和材料，生成结构规范、语气稳妥、内容具体、少 AI 味、可直接交付的文本。 V1.2 在原版基础上进一步整合了多篇优秀公文案例、公文写作标准、法定公文格式规则。 V1.3 的新增优化重点是吸收 的二次审稿思路，专门处理看起来很工整但仍像 AI的问题：意义膨胀、假深刻、模糊主体、规则三连、同义词轮换、元话语和万能结论。 你有没有遇到过这种情况？ 让 AI 写一份工作报告，它经常给出这样的文字： 看起来很正式，仔细一看却有几个问题： 谁负责？做了什么？通过什么机制？到什么节点？有什么结果？ 都没有。 这就是典型的 AI 味：抽象词很多，工作信息很少。...
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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: