by VincentOld · Claude Skill · ★ 93
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 | 93 |
| Forks | 5 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 58/100 |
| Last Updated | 2026-05-28 |
| Created | 2026-05-28 |
| Platforms | claude-code |
| Est. Tokens | ~2k |
Stop AI Slop · 中文版 让 AI 写出来的中文不再像 AI 写的。 这是一套提示词 Skill，给 Claude / GPT / Gemini / 文心 / 通义 / DeepSeek 等模型用，识别并消除中文 AI 写作的典型痕迹：套话、排比三件套、名词化动词、抽象主语、金句收尾、总分总八股。 灵感来自 hardikpandya/stop-slop 英文项目，但不是翻译——中文 AI 味跟英文 AI 味的指纹完全不一样，整套规则、词表、句式、评分都是为中文重做的。 这套规则解决什么 你大概见过这样的中文： 在当今 AI 蓬勃发展的时代，我们正面临前所未有的机遇与挑战。AI 不仅是一种工具，更是一种思维方式，是推动社会进步的重要力量。让我们以更开放的姿态拥抱变化，共创美好未来。 每一句都对，但你一眼能看出是 AI 写的。本 Skill...
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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: