by qqzhangyanhua · MCP Server · ★ 175
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 | 175 |
| Forks | 24 |
| Language | Vue |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-14 |
| Created | 2026-03-14 |
| Platforms | mcp |
| Est. Tokens | ~17k |
从零理解如何构建 AI Agent — OpenCode 源码剖析与实战 这是一个基于 VitePress 构建的 AI Agent 工程学习站点。项目不只是一本线性电子书，而是围绕「源码拆解、工程实践、智能体选型、动画理解、面试复盘、企业落地」组织的多专区知识库。 核心目标： 用固定源码快照拆解 OpenCode、Claude Code、Hermes Agent、DeepSeek Harness 等真实 Agent 系统 用 TypeScript 实践项目串起工具调用、记忆、RAG、规划、多 Agent、评估与部署 用动画实验室把 Agent 运行闭环、上下文、工具边界、测试修复等机制可视化 用智能体选型专区把 Agent Framework、RAG、搜索、模型、工具、权限、观测和成本预算收束成工程决策 用企业 Agent 专栏把 IMS AI Copilot...
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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: