by liangdabiao · Agent Tool · ★ 156
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 | 156 |
| Forks | 22 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 59/100 |
| Last Updated | 2026-04-29 |
| Created | 2026-04-29 |
| Platforms | claude-code, node |
| Est. Tokens | ~16k |
LLM Wiki - 个人 AI 知识库系统 基于 [Karpathy llm-wiki]方法论，利用 AI 持续构建和维护你的个人知识库。支持从多种素材源（网页、推特、公众号、小红书、知乎、YouTube、PDF、本地文件）自动整理为结构化的 wiki，并通过 Quartz 发布为静态wiki知识库网站。 并通过 claudeagentsdk 调用 claude agent 使用 llm-wiki ,提供api接口对外访问服务 。 Claude Agent SDK + LLM-wiki，最强大的agentic RAG 。 本项目主要展示了我制作的 llm-wiki 怎样通过 Claude Agent SDK 转为 agentic rag， 效果非常好的。 核心文件是： 7wikiwriter.py ， wikiwriterapi.py 。 🤔 什么是 LLM-wiki？ LLM...
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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: