by browser-use · Agent Tool · ★ 2.0k
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git clone https://github.com/browser-use/macOS-use.git && cd macOS-useTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 1,998 |
| Forks | 196 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65/100 |
| Open Issues | 16 |
| Last Updated | 2025-03-05 |
| Created | 2025-01-23 |
| Platforms | python |
| Est. Tokens | ~15k |
Tell your MacBook what to do, and it's done—across ANY app. Created by Ofir Ozeri ♥️ migrated in collaboration with Magnus and Gregor macOS-use enables AI agents to interact with your Macbook see it in action! Quick start ⚠️ Important: Review the Warning section before proceeding. With pip: From github Clone first Don't forget API key Supported providers: [OAI](https://pl
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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.
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