by peterfei · MCP Server · ★ 421
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-agent-team safe to install? View the security audit →
Featured in: Business Diagnosis & Founder Skills · Open-Source Vibe Coding Tools
AI Agent Team 💛 Sponsored by DolOffer — GPT & Claude 正版会员充值，输入优惠码 享9折特惠 🚀 拥有24/7专业AI开发团队：产品经理、全栈开发、前端开发、后端开发、测试工程师、DevOps工程师、技术负责人 💾 Thread Manager 让 AI 拥有记忆！ 语义搜索 自动 Git 版本控制 ⚡ 只需 3 步完成安装 → 马上开始使用！ Agent Skills（独立安装） 这些 Skill 已发布为独立仓库，可通过 命令安装到任意项目中： npx skills i
npm install -g ai-agent-teamTaken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 421 |
| Forks | 63 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62.9550303574337/100 |
| Last Updated | 2026-06-29 |
| Created | 2025-11-07 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~15k |
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ai-agent-team is AI Agent Team-拥有24/7专业AI开发团队：产品经理、前端开发、后端开发、测试工程师、DevOps工程师、技术负责人。一键安装，支持中英文命令，大幅提升开发效率！. It is categorized as a MCP Server with 421 GitHub stars.
ai-agent-team is primarily written in JavaScript. It covers topics such as 24886, ai, ai-agents.
The README on GitHub (github.com/peterfei/ai-agent-team) gives: npm install -g ai-agent-team. Usage details are in the same README.
ai-agent-team is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-agent-team on Agent Skills Hub include pg-aiguide, kindly-web-search-mcp-server, daymon. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: