by qdleader · Agent Tool · ★ 535
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Awesome-AI-Pedia safe to install? View the security audit →
| Stars | 535 |
| Forks | 85 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 59/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-24 |
| Created | 2026-01-26 |
| Platforms | claude-code, node |
| Est. Tokens | ~14k |
🦞 Awesome AI Pedia 一个全面的 AI 知识库与博客平台 🔥 在线访问 📚 文档 ✨ 项目简介 Awesome AI Pedia 是一个现代化 AI 知识库,旨在为开发者提供全面的 AI 工具使用指南、最佳实践和实战经验分享。 🎯 核心特性 📚 11个AI分类 - 涵盖 Claude Code、Cursor、MCP、Prompt、Rules、Skills 等全方位 AI 知识 💡 实战导向 - 从实际项目出发,提供可落地的解决方案 🔍 智能搜索 - 内置全文搜索,快速定位所需内容 📂 知识库分类 🤖 Claude Code Claude AI 编码助手的完整使用指南 安装与配置 常用命令速查 Browser 工具使用 自动提醒配置 Settings.json 配置详解 🎯 Cursor Cursor AI 编辑器的使用方法和最佳实践 常用功能详解...
Looking for a Awesome-AI-Pedia alternative? If you're comparing Awesome-AI-Pedia with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microso
MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better Post
Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting functi
Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistant
Official remote MCP server for Atlassian. Securely connect Jira, Confluence, Jira Service Management, Bitbucke
Backtrader-powered backtesting framework for algorithmic trading, featuring 20+ strategies, multi-market suppo
Explore other popular agent tool tools:
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: