by pencil20388-eng · Claude Skill · ★ 52
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git clone https://github.com/pencil20388-eng/stop-slop-zh.git .claude/skills/stop-slop-zhTaken from the project's README on GitHub. Check the security audit before running it.
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 | 52 |
| Forks | 4 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 65/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-02 |
| Created | 2026-05-26 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~6k |
🚫 Stop Slop 中文版 — 干掉 AI 味，写出人话 ### ❌ Before 在当今数字化转型的时代，随着技术的不断进步，越来越多的企业开始关注自动化工具的应用。值得注意的是，这一趋势不仅仅是技术层面的变化，更是企业运营范式的根本性转变。综上所述，自动化已经成为不可忽视的战略方向。 ### ✅ After 上周跟一个 200 人的电商团队聊，他们客服响应从 4 小时压到了 11 分钟。怎么做到的？就是把那些「物流到哪了」「怎么退货」这类重复问题丢给机器处理，人只管接疑难件。坦率的讲，这个速度很多同行还没反应过来。 English | 中文 AI 中文写作有固定套路：废话连接词、教科书结构、播音腔句式。这个 skill 教 AI 识别并消除这些痕迹，让输出读起来像一个有判断力的人在认真聊，而不是机器在输出信息。 灵感来自...
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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: