by MiniMax-AI · MCP Server · ★ 244
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 | 244 |
| Forks | 33 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68/100 |
| Open Issues | 22 |
| Last Updated | 2026-10-22 |
| Created | 2026-09-21 |
| Platforms | claude-code, codex, go, mcp |
| Est. Tokens | ~16k |
OpenAgentCore An open-source, self-hosted implementation of the OpenAI Agents API with multiple native harnesses. Install · Call the API · Documentation · Contributing English · 简体中文 What it is OpenAgentCore runs AI agents on your own infrastructure behind the OpenAI Agents API. Same API as OpenAI. Point the official OpenAI SDK, or plain HTTP, at your installation. No new client to learn.
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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: