by lhh737 · Agent Tool · ★ 278
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 | 278 |
| Forks | 52 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64/100 |
| Last Updated | 2026-10-04 |
| Created | 2026-03-09 |
| Platforms | python |
| Est. Tokens | ~14k |
KnowledgeBase-RAG-LLM-System ## 基于 Streamlit 的本地知识库上传与RAG问答学习项目 适合作为本地知识库问答与 RAG 检索增强的入门实践 在网页端上传 文件，自动切分后写入 Chroma 向量库 在网页端以聊天形式提问，基于知识库内容进行检索增强回答（RAG） 支持 会话历史查看，流式思维链输出 技术栈：Python / Streamlit / LangChain / Chroma / Embeddings / Qwen ChatModel ✨ 功能一览 1) 知识库更新服务（Upload） Streamlit 页面上传文件，显示基本格式 自动读取文本内容 根据配置进行分段（RecursiveCharacterTextSplitter） 写入 Chroma 向量库（本地持久化） 使用 MD5 去重：相同内容不重复入库 2) 智能客服（RAG...
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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: