by fdueblab · MCP Server · ★ 101
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/fdueblab/Micro-Agent.git
Taken from the project's README on GitHub.
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.
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 | 101 |
| Forks | 17 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-30 |
| Created | 2025-03-25 |
| Platforms | mcp, python |
| Est. Tokens | ~14k |
为什么选择 Micro-Agent 如果你需要为特定行业快速构建一个专业 Agent 并以 API 服务形式交付,Micro-Agent 是最短路径。 各框架定位: Micro-Agent 面向垂域专业 Agent 服务交付 · LangGraph 面向复杂多步工作流编排 · AutoGen 面向多角色智能体协作 · OpenClaw 面向个人效率自动化 架构 核心组件: LLM Layer — 通过 litellm 统一接口,一套代码切换 OpenAI / DeepSeek / Claude / Ollama 等任意模型 Agent Core — ReAct 执行引擎(Think → Act → Observe 循环),支持 SubAgent 子任务分发与 REPL 沙箱执行 Memory — 会话记忆系统,支持短期记忆、文件持久化、跨会话恢复 Skills —...
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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: