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 compozy · Codex Skill · ★ 2.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is compozy safe to install? View the security audit →
CompozyOS The system around the agent, already built. An operating system for AI agents. Anyone can prompt an agent. Making agents work continuously is still an engineering project: loops, triggers, cron, memory, permissions, approvals, observability, and the glue scripts that hold them together. CompozyOS turns that entire agent stack into one product, a complete environment to create, automate, and supervise agent work with the agent CLIs you already use (Claude Code, OpenClaw, and Hermes). Built fi
| Stars | 2,751 |
| Forks | 177 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 59.8187701443518/100 |
| Open Issues | 12 |
| Last Updated | 2026-09-15 |
| Created | 2026-03-28 |
| Platforms | browser, claude-code, cli, codex, gemini, go |
| Est. Tokens | ~18k |
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compozy is An operating system for AI agents. Plug in the agent CLIs you already use (Claude Code, Codex, Gemini CLI, Cursor) and they become a team: they split the work, hand tasks to each other, run automated . It is categorized as a Codex Skill with 2.8k GitHub stars.
compozy is primarily written in Go.
You can find installation instructions and usage details in the compozy GitHub repository at github.com/compozy/compozy. The project has 2.8k stars and 177 forks, indicating an active community.
compozy is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to compozy on Agent Skills Hub include refly, Claude-to-IM-skill, skillshare. 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: