by robium-ai · Codex Skill · ★ 75
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npx robium-ai setup # auto-detects your agents
npx robium-ai setup --agent codex # or target oneTaken from the project's README on GitHub.
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.
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 | 75 |
| Forks | 1 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-07 |
| Created | 2026-08-03 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~15k |
Physical AI skills for your agents An open-source, continuously evolving collection of field-tested robotics expertise. Install robium as a plugin to empower your favorite AI coding agent with the robotics skills it needs. Covers ROS 2, Nav2, Gazebo, MuJoCo, NVIDIA Isaac Sim, Isaac Lab, and LeRobot, for Claude Code, Codex, Gemini CLI, and Cursor.
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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: