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 herry2059 · MCP Server · ★ 101
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is project-os-for-codex safe to install? View the security audit →
🚦 Project OS for Codex The open-source control plane for Codex projects: visible progress, resumable context, safe handoffs, and reusable knowledge. Independent open-source project. Not affiliated with or endorsed by OpenAI. Built for Codex. Connect through MCP, keep project truth in Git, and make every handoff resumable. <img src="https://img.shields.io/github/contributors/herry2059/project-os-for-codex?style=for-the-b
| Stars | 101 |
| Forks | 5 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 65.4862827649433/100 |
| Last Updated | 2026-07-14 |
| Created | 2026-07-09 |
| Platforms | cli, codex, mcp, node |
| Est. Tokens | ~18k |
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project-os-for-codex is Open-source control plane for Codex projects: Git-backed context, visible agent progress, scoped MCP access, resumable work, and safe handoffs.. It is categorized as a MCP Server with 101 GitHub stars.
project-os-for-codex is primarily written in TypeScript. It covers topics such as agent-handoff, ai-agents, ai-coding.
You can find installation instructions and usage details in the project-os-for-codex GitHub repository at github.com/herry2059/project-os-for-codex. The project has 101 stars and 5 forks, indicating an active community.
project-os-for-codex is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to project-os-for-codex on Agent Skills Hub include mcp-fusion, ai-agent-automation, claude-emporium. 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: