by agentify-sh · MCP Server · ★ 564
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx @agentify/desktop
npx @agentify/desktop gui
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 | 564 |
| Forks | 50 |
| Language | JavaScript |
| Category | MCP Server |
| License | MPL-2.0 |
| Quality Score | 71/100 |
| Open Issues | 6 |
| Last Updated | 2026-05-18 |
| Created | 2026-01-13 |
| Platforms | browser, claude-code, codex, gemini, mcp, node |
| Est. Tokens | ~19k |
Agentify Desktop Agentify Desktop is a local control center for AI web sessions. It lets MCP-capable tools such as Codex, Claude Code, and OpenCode use the AI subscriptions you are already signed into, while keeping browser state, files, and automation on your machine. What It Does Opens a local Agentify Control Center.
These tools work well together with desktop for enhanced workflows:
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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: