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 MJ-CJM · Agent Tool · ★ 126
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is fuxi-cli safe to install? View the security audit →
简体中文 | English 伏羲 CLI (fuxi-cli) 基于 Gemini CLI 的增强版 AI 命令行工具（前身是 tiangong-cli） 支持自定义模型 • Agents 智能体系统 • 智能路由与协作 • Plan-Todo 模式 • 规格驱动开发 📖 项目简介 伏羲 CLI 是基于 Google Gemini CLI 开发的增强版本，专为国内开发者优化。在保留原有强大功能的基础上，提供了丰富的核心扩展功能： 🎯 核心扩展功能 ⚡ 继承的强大功能 🧠 超大上下文窗口：支持 1M token 上下文 🔧 丰富的内置工具：文件操作、Shell 命令、Git 集成 🔌 MCP 协议支持：扩展外部服务集成 💻 终端优先设计：为命令行用户深度优化 🛡️ 开源：Apache 2.0 许可证 💡 完整的 Gemini CLI 功能文档请参考：README-CLI.md -- 🚀 快速开始 安装 方式一：NPM 全局安装（推荐） 方式二：源码安装 bash 克隆仓库 git clone https://github.com/chenjiamin/fuxi-cli.git cd fuxi-cli 安装依赖 npm insta
| Stars | 126 |
| Forks | 19 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 63.4626249754735/100 |
| Open Issues | 1 |
| Last Updated | 2025-11-23 |
| Created | 2025-10-08 |
| Platforms | cli, node |
| Est. Tokens | ~1775k |
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fuxi-cli is 开源 AI 命令行工具，将多模型 AI 智能体、智能工作流和规格驱动开发带入您的终端。（An open-source AI command-line tool that brings multi-model AI agents, intelligent workflows, and spec-driven development directly into your terminal.）. It is categorized as a Agent Tool with 126 GitHub stars.
fuxi-cli is primarily written in TypeScript.
You can find installation instructions and usage details in the fuxi-cli GitHub repository at github.com/MJ-CJM/fuxi-cli. The project has 126 stars and 19 forks, indicating an active community.
fuxi-cli is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to fuxi-cli on Agent Skills Hub include claude-plugins, tutor-skills, repren. 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: