by jfarcand · MCP Server · ★ 281
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx -y mirroir-mcp install
claude mcp add --transport stdio mirroir -- npx -y mirroir-mcpTaken 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 | 281 |
| Forks | 38 |
| Language | Swift |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 76/100 |
| Open Issues | 2 |
| Last Updated | 2026-11-06 |
| Created | 2026-02-06 |
| Platforms | claude-code, mcp |
| Est. Tokens | ~18k |
mirroir-mcp Give your AI eyes, hands, and a real iPhone. An MCP server that lets any AI agent see the screen, tap what it needs, and figure the rest out — through macOS iPhone Mirroring. Experimental support for macOS windows. 32 tools, any MCP client. What's Changed Icon detection (YOLO CoreML) — can now detect non-text UI elements (icons, buttons, toggles, activ
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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: