No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by didilili · MCP Server · ★ 4.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-agents-from-zero safe to install? View the security audit →
🚀 全网最系统的 AI 智能体实战速成指南（从零到企业级落地） ai-agents-from-zero 2026 持续更新中 · 目标打造「全网最完整」AI Agent 教程 —— 系统教程 + 可跑源码 + 面试题汇编，全面对齐「AI 智能体 / 大模型应用开发工程师」培训课表与招聘 JD的一条龙学习路线 快速开始 • 教程大纲 • 案例汇总 • 更新日志 • 面试题汇编 • 新手入门与常见问题 📚 在线阅读 📢 说明：教程持续迭代，为 2026 年最新版 AI 智能体 笔记与教程，预计 5 月第一版更新完毕，完成「从入门到企业级」闭环，你可以点击更新日志，了解最新仓库动态。若对你有帮助，欢迎 Star ⭐ ✨ 教程亮点 🧭 系统性学习路径，一条线拉通：从大模型与提示词，到低代码（Coze/Dify）与代码框架（LangChain/LangGraph），再到企业级 RAG/Agent、微调与工程规范——按知识体系统一编排，完整链路闭环，适合系统吃透而不是碎片化收藏。 💼 企业级实战，对标「能干活」：以商户运营管家、掌柜智库、电商小二、掌柜问数、市场罗盘等为主线，串起意图解析、多源知识、转人工、复盘与监控；把 多路召回、评测、观测、成
| Stars | 4,489 |
| Forks | 621 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.001166487103/100 |
| Open Issues | 54 |
| Last Updated | 2026-09-10 |
| Created | 2026-01-29 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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ai-agents-from-zero is 🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化. It is categorized as a MCP Server with 4.5k GitHub stars.
ai-agents-from-zero is primarily written in Python. It covers topics such as agent, agent-framework, agentic-ai.
You can find installation instructions and usage details in the ai-agents-from-zero GitHub repository at github.com/didilili/ai-agents-from-zero. The project has 4.5k stars and 621 forks, indicating an active community.
ai-agents-from-zero is released under the MIT license, making it free to use and modify according to the license terms.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: