by achetronic · MCP Server · ★ 111
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.
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 | 111 |
| Forks | 13 |
| Language | Go |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69/100 |
| Open Issues | 12 |
| Last Updated | 2026-11-02 |
| Created | 2026-01-18 |
| Platforms | browser, go, mcp |
| Est. Tokens | ~17k |
Magec Self-hosted multi-agent AI platform with voice, visual workflows, and tool integration. Website · Docs · Quick Start Define multiple AI agents, each with its own LLM, memory, and tools. Chain them into multi-step workflows. Access via voice, Telegram, webhooks, or cron. Manage it all from a visual admin panel. Your server, your data, your rules.
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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: