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git clone https://github.com/jzOcb/writing-style-skill.git
npx clawhub@latest install jz-writing-style-skillTaken from the project's README on GitHub.
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.
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 | 252 |
| Forks | 28 |
| Language | Python |
| Category | AI Tool |
| Quality Score | 54/100 |
| Open Issues | 2 |
| Last Updated | 2026-03-24 |
| Created | 2026-03-24 |
| Platforms | claude-code, python |
| Est. Tokens | ~1k |
Writing Style Skill 可复用的写作风格 Skill 模板。内置自动学习 — 从你的修改中自动提取规则，SKILL.md 越用越准。 兼容 Claude Code + OpenClaw (ClawHub)。 原理 只要两个数据点：original（AI 第一版）和 final（你最终版）。中间改了多少轮不管。 安装 快速开始 改 SKILL.md — 把模板里的风格规则改成你自己的（或留空，让自动学习帮你填） 让 AI 用这个 skill 写内容 你改到满意 记录： 提取规则： 文件结构 自动学习怎么工作 记录 AI 原稿和你的最终版 用 LLM 分析 diff，提取写作规则 规则按置信度分 P0/P1/P2，P0 自动应用 每次更新前自动备份，一键回滚 LLM 支持 自动检测： (Claude Code) — 优先 (pip install llm) — 通用 环境变量...
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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: