by skindhu · Agent Tool · ★ 91
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 | 91 |
| Forks | 13 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61/100 |
| Open Issues | 3 |
| Last Updated | 2025-11-20 |
| Created | 2025-10-25 |
| Platforms | claude-code, python |
| Est. Tokens | ~10k |
Claude DeepWiki 基于 Claude Agent SDK 的智能代码仓库分析工具，自动生成业务导向的项目知识库 若希望了解更多AI探索相关的内容，可关注作者公众号 📖 项目背景 在 AI 辅助编程时代，需求质量成为影响开发效率的关键因素。要让 AI 准确理解需求，首先需要让它掌握项目的背景知识。然而： 🔒 Devin.ai 的 DeepWiki 效果出色，但闭源且仅支持 GitHub 托管的公开仓库 📉 开源版 open-deepwiki 分析效果有限，难以满足生产需求 因此，我们基于 Claude Agent SDK 打造了这个工具，旨在： ✅ 本地运行，支持任何代码仓库（公开/私有） ✅ 深度理解业务逻辑，生成面向产品的 PRD 文档 ✅ 多语言支持（165+ 编程语言） 🎯 设计理念 Claude Agent SDK 驱动 利用 Claude Sonnet...
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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: