by covagashi · MCP Server · ★ 116
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 | 116 |
| Forks | 29 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-01 |
| Created | 2024-08-19 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~15k |
THIS IS UNDER DEVELOPMENT !!!! EPLAN AI Automation Toolkit A collection of AI-assisted automation tools for EPLAN Electric P8 and EPLAN EEC Pro 2026, built around the Model Context Protocol (MCP). The repo contains three independent sub-projects: a local MCP server that drives EPLAN P8 directly, and two remote MCP servers hosted on Cloudflare Workers that expose the indexed documentation via...
These tools work well together with eplan-rag-mcp 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: