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 rome-os · Codex Skill · ★ 513
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is rome safe to install? View the security audit →
Rome The agentic OS for humans and agents. Website · Try Rome Cloud · Documentation · App Store What is Rome? Most progress in AI comes from scaling models. Rome scales the other axis, the environment: the tools, workflows, memory, and interfaces an agent works within (why this matters). Rome is a guardrailed environment where human and agent collaborate, and the collaboration compounds. Agents build their own harnesses, design thei
| Stars | 513 |
| Forks | 40 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.2714944349106/100 |
| Open Issues | 63 |
| Last Updated | 2026-09-20 |
| Created | 2026-08-23 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~17k |
These tools work well together with rome for enhanced workflows:
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Explore other popular codex skill tools:
rome is A compounding agent OS for recursive agents. Also an open source alternative to Grok Bot and Meta's Muse.. It is categorized as a Codex Skill with 513 GitHub stars.
rome is primarily written in TypeScript. It covers topics such as agent, agent-os, ai-agent.
You can find installation instructions and usage details in the rome GitHub repository at github.com/rome-os/rome. The project has 513 stars and 40 forks, indicating an active community.
rome is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to rome on Agent Skills Hub include gawkbot, avibe, natively-cluely-ai-assistant. 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: