by datawhalechina · Agent Tool · ★ 1.5k
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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 | 1,481 |
| Forks | 198 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 49/100 |
| Last Updated | 2026-08-27 |
| Created | 2026-02-01 |
| Platforms | python |
| Est. Tokens | ~14k |
agent-skills-with-anthropic 项目简介 本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。 项目采用开源协作模式，欢迎广大学习者参与贡献，共同完善中文学习生态。如果本项目对您有所帮助，欢迎给我们点个 Star！ 视频课程地址： DeepLearning.AI - agent-skills-with-anthropic 官网解读教程： sc-agent-skills-files 项目受众 对 AI agent 和 Claude 相关技术感兴趣的学习者 希望了解如何使用和创建 AI skills 的开发者...
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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: