by iFurySt · MCP Server · ★ 412
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm i -g open-browser-use
npm install open-browser-use-sdkTaken from the project's README on GitHub.
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.
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 | 412 |
| Forks | 42 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71/100 |
| Open Issues | 10 |
| Last Updated | 2026-11-03 |
| Created | 2026-04-24 |
| Platforms | browser, cli, codex, mcp, node |
| Est. Tokens | ~14k |
Open Browser Use [!TIP] Interested in Computer Use? Check out open-computer-use. is a browser automation layer that stays neutral across agent runtimes. It is also an open-source alternative to the Chrome Browser Use capability recently shipped in Codex.app. For the story behind it, see the Browser Use Deep Dive. Under the hood, it pairs a browser extension with the CLI.
These tools work well together with open-browser-use for enhanced workflows:
Looking for a open-browser-use alternative? If you're comparing open-browser-use with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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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.
Sources & who's responsible: