by antiv · MCP Server · ★ 108
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/antiv/mate.git && cd mateTaken 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 | 108 |
| Forks | 23 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 70/100 |
| Open Issues | 8 |
| Last Updated | 2026-11-07 |
| Created | 2026-02-27 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~17k |
MATE — The Command Center for AI Agents Stop the redeploy-to-tweak loop. Created by Ivan Antonijević You built an agent. Now you need to tune the prompt. Swap the model. Restrict access for specific users. Figure out what it's actually costing you. And make sure yesterday's behavior still works after today's changes.
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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: