by amurgola · MCP Server · ★ 124
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx lumabrowser start
Taken 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 | 124 |
| Forks | 11 |
| Language | JavaScript |
| Category | MCP Server |
| Quality Score | 62/100 |
| Open Issues | 4 |
| Last Updated | 2026-10-22 |
| Created | 2026-10-09 |
| Platforms | browser, claude-code, cli, codex, mcp, node |
| Est. Tokens | ~16k |
LumaBrowser Your local AI stack in one app. A web browser with a GPU-aware LLM runtime, chat and agents, local image, video, music and voice, and browser automation for the AI tools you already use. Website · Download · API docs · Agentic developer docs · License Free · Open source (AGPL-3.0) · Runs on your own machine LumaBrowser replaces the pile of separate tools people run for local AI (a...
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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: