by Canner · MCP Server · ★ 661
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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 | 661 |
| Forks | 202 |
| Language | Java |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 61/100 |
| Open Issues | 72 |
| Last Updated | 2026-05-06 |
| Created | 2022-05-09 |
| Platforms | java, mcp |
| Est. Tokens | ~2094k |
Wren Engine The open context engine for AI agents Wren Engine is the open foundation behind Wren AI: a semantic, governed, agent-ready context layer for business data. https://github.com/user-attachments/assets/037f2317-d8e5-41f2-9563-1e0bce4ef50c Why Wren Engine AI agents can already call tools, browse
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: