by Haohao-end · MCP Server · ★ 748
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git clone https://github.com/Haohao-end/openagent.git
Taken from the project's README on GitHub. Check the security audit before running it.
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 | 748 |
| Forks | 78 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75/100 |
| Open Issues | 41 |
| Last Updated | 2026-11-06 |
| Created | 2025-06-20 |
| Platforms | docker, mcp, python |
| Est. Tokens | ~15k |
An end-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications. Flask + LangChain/LangGraph backend, Vue 3 workspace, visual workflows, datasets, tools, and OpenAPI delivery. Sponsored by Atlas Cloud Visit Website · API Docs · 中文文档 · GitHub <a href="https://deepwiki.com/Haohao-e
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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: