by cangtianhuang · Claude Skill · ★ 51
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npx skills add cangtianhuang/humanizer-academic-zh
npx skills update cangtianhuang/humanizer-academic-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 | 51 |
| Forks | 2 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 57/100 |
| Last Updated | 2026-05-23 |
| Created | 2026-03-10 |
| Platforms | claude-code |
| Est. Tokens | ~3k |
humanizer-academic-zh Humanizer 中文学术版本，Claude Code Skills / System Prompt，轻量级中文学术论文去 AI 痕迹提示词——运行迅速，节约 token，开箱即用！ 这是什么 一套精简的中文学术写作润色规则，用于指导 LLM 识别并消除论文中的 AI 生成痕迹。规则基于 AIGC 检测器的统计识别逻辑设计：不改内容，改模式。 本项目追求短、准、省——去掉了冗长的示例和评分体系，只保留对 LLM 执行有效的规则本身，适合直接粘贴使用，不浪费上下文窗口。 文件说明 两个文件核心内容一致，选适合你工作流的即可。 安装 Claude Code Skills 方法一：通过 npx skills 安装（推荐） npx skills 是一项 AI Agent 技能管理工具，支持 Claude Code、Cursor、Codex 等 40+...
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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: