by kivo360 · MCP Server · ★ 80
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/kivo360/OmoiOS.gitTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage. 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 | 80 |
| Forks | 7 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 64/100 |
| Open Issues | 17 |
| Last Updated | 2026-10-07 |
| Created | 2025-11-16 |
| Platforms | claude-code, codex, gemini, mcp, python |
| Est. Tokens | ~18k |
Open-source orchestration runtime that turns specs into PRs using parallel agent swarms in isolated sandboxes. If you find OmoiOS useful, consider giving it a star — it helps others discover the project. The Problem AI coding agents are powerful individually, but using them at scale is a mess. You paste a prompt, wait, review, paste another prompt, fix wha
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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: