by leeguooooo · MCP Server · ★ 333
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 333 |
| Forks | 38 |
| Language | Rust |
| Category | MCP Server |
| Quality Score | 66/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-22 |
| Created | 2026-06-09 |
| Platforms | claude-code, cli, codex, mcp, rust |
| Est. Tokens | ~23k |
iphone-use Computer-use, but for the iPhone — let AI agents (and your browser) see and drive a real phone. English · 简体中文 https://github.com/user-attachments/assets/f1e6574d-3134-4c23-9092-4b51bc79af2c 2-minute demo · 中文版 iphone-use lets an AI agent see and operate a real iPhone: read the screen as text, tap, swipe and type, and get told plainly when an action did not land.
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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: