by upupmake · Agent Tool · ★ 64
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 | 64 |
| Forks | 5 |
| Language | Java |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 63/100 |
| Last Updated | 2026-10-11 |
| Created | 2026-01-13 |
| Platforms | java |
| Est. Tokens | ~18k |
General RAG System 企业级 Agentic RAG 知识库问答系统 多用户 · 多工作空间 · 智能代理检索 · 文档向量化 · MCP 开放协议 系统架构 · 核心机制 · 快速开始 · 模块文档 · 部署边界 项目简介 General RAG System 是一个企业级 Agentic RAG 知识库问答系统。它使用 LangChain 原生工具调用和自定义多轮控制器，让 LLM 根据问题与检索历史选择检索工具、补充上下文并判断何时停止。系统还通过 MCP 协议向外部 Agent 开放经过授权的知识库能力。 产品特点 Agentic RAG 引擎 基于 LangChain Function Calling 的可控多轮检索编排，LLM 自主选择 6 个工具 对话入口默认最多 10 轮检索，支持结果去重、连续片段读取和上下文扩展 RAG Gateway...
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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.
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