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 caezium · MCP Server · ★ 1.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is burrow safe to install? View the security audit →
Burrow is an independent open-source project. It bundles its own MIT engine — , a fork of the Mole () CLI by tw93 — and is not affiliated with or endorsed by mole.fit (the official Mole for Mac app by 's author); its own name, mark, palette, and copy are original. If you like Mole and want to fund 's development — buy mole.fit ($19). burrow 🐹 The open-source system companion for your Mac — clean, uninstall, analyze, optimize, and monitor, built for you and your AI agents. <a href="ht
| Stars | 1,438 |
| Forks | 175 |
| Language | Swift |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62.8515776993633/100 |
| Open Issues | 62 |
| Last Updated | 2026-09-21 |
| Created | 2026-05-31 |
| Platforms | mcp |
| Est. Tokens | ~22k |
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burrow is 🐹 Cleanup, app management, maintenance, disk analysis, and live status in one free, open-source, native Mac app + extensive support for AI agents.. It is categorized as a MCP Server with 1.4k GitHub stars.
burrow is primarily written in Swift. It covers topics such as cleaner, disk-usage, macos.
You can find installation instructions and usage details in the burrow GitHub repository at github.com/caezium/burrow. The project has 1.4k stars and 175 forks, indicating an active community.
burrow is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to burrow on Agent Skills Hub include mcp-client-for-ollama, MioIsland, 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: