by redbaronyyyyy-eng · Claude Skill · ★ 309
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 | 309 |
| Forks | 23 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 62/100 |
| Open Issues | 1 |
| Last Updated | 2026-02-24 |
| Created | 2026-02-24 |
| Platforms | claude-code |
| Est. Tokens | ~4k |
Humanizer-ZH-Academic 🎓 降低中文学术写作 AIGC 检测率的 Claude Code Skill | Reduce AIGC detection rate for Chinese academic writing 中文说明 | English 中文 简介 是一个专为 Claude Code 设计的 Skill，用于降低中文学术写作（论文、期刊文章、毕业论文等）的 AIGC 检测率。 核心理念： AIGC 检测器识别的不是「内容」，而是「写作模式」的统计规律。本 Skill 通过打破 AI 写作的模式规律性，注入人类写作的随机性与真实感，从而有效降低检测率。 效果 基于真实论文改写实验： 两个版本 本仓库提供两个版本的 Skill，适应不同使用场景： 如何选择： 如果你的文本较短（≤2000字）或需要快速处理多篇文章 → 使用 精简版...
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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: