No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by mco-org · Codex Skill · ★ 494
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mco safe to install? View the security audit →
MCO MCO — Orchestrate AI Coding Agents. Any Prompt. Any Agent. Any IDE. MCO equips your primary agent with an agent team: dispatch Claude, Codex, Gemini, OpenCode, and Qwen in parallel to execute task
| Stars | 494 |
| Forks | 55 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 62.0357570171753/100 |
| Last Updated | 2026-08-14 |
| Created | 2026-02-26 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~18k |
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mco is CLI-first orchestration for AI coding agents: run selected agents and models in parallel, compare raw answers, and coordinate review or implementation workflows.. It is categorized as a Codex Skill with 494 GitHub stars.
mco is primarily written in Python. It covers topics such as ai-agents, ai-ide, claude.
You can find installation instructions and usage details in the mco GitHub repository at github.com/mco-org/mco. The project has 494 stars and 55 forks, indicating an active community.
mco is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mco on Agent Skills Hub include hcom, agent-of-empires, ccmanager. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: