by WenyuChiou · MCP Server · ★ 8.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/WenyuChiou/awesome-agentic-ai-zh.gitTaken from the project's README on GitHub. Check the security audit before running it.
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 | 8,005 |
| Forks | 1,034 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-26 |
| Created | 2026-05-04 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~15k |
繁體中文 English awesome-agentic-ai-zh 🤖 AI Agent 學習地圖 — 從基本 LLM 概念到自己打造多 agent 系統 結構化 7 階段學習路徑，從「LLM 是什麼、token 怎麼算」一路到 multi-agent 編排、本地部署，每階段都有必做的 動手練習、必修閱讀、精選 project 🎯 專案介紹 這個專案是為想學習 AI 或 AI agent 的人設計的。 本 repo 把網路上散落各處的高品質專案、教材、動手練習、必修閱讀蒐集起來，按從零開始、循序漸進的順序整理成 7 個階段——每階段都會清楚指出該學什麼、必做哪些 動手練習、推薦哪幾個 project、進入下一階段前該檢查什麼。 走完整條路線，你會從「LLM 使用者」進階到「agent 系統建構者」——能看懂 framework 在做什麼、能設計多 agent 協作、能寫自己的...
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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: