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 shirenchuang · MCP Server · ★ 211
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentbro safe to install? View the security audit →
AgentBro 让 Agent 更好用 面向 AI 编程 Agent 的 macOS 灵动岛。 把权限请求、问题、计划、工具调用、快速回复、远程会话、完成提醒，以及 Agent 安装、Hook 和 Skills 管理，收进一个轻巧的桌面工作台。 官网 · 下载 · 隐私 · English Claude Code / Codex / Gemini CLI / Cursor / Copilot / Kimi / Qoder / OpenCode 等 AI 编程 Agent 的本地控制台。 快速开始 下载： 或 国内最新 DMG。 接入：打开 Island - Integration，运行 Hook Doctor，再安装你正在使用的 Agent Hook。 贡献：看 [](https://github.com/shirenchuang/agentbro/issues?q=is%3Aissue%20is%3Aopen%20label%3A%22good%20first%20issue%
| Stars | 211 |
| Forks | 29 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 63.9928439067345/100 |
| Open Issues | 5 |
| Last Updated | 2026-08-04 |
| Created | 2026-04-26 |
| Platforms | claude-code, cli, codex, gemini, mcp, rust |
| Est. Tokens | ~24k |
These tools work well together with agentbro for enhanced workflows:
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agentbro is A macOS Dynamic Island for AI coding agents: Claude Code, Codex, Gemini CLI, Cursor, hooks, skills, and local agent management.. It is categorized as a MCP Server with 211 GitHub stars.
agentbro is primarily written in Rust. It covers topics such as agent-tools, ai-agents, claude-code.
You can find installation instructions and usage details in the agentbro GitHub repository at github.com/shirenchuang/agentbro. The project has 211 stars and 29 forks, indicating an active community.
agentbro is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agentbro on Agent Skills Hub include OpenContext, palot, yume. 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: