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 oso95 · Codex Skill · ★ 103
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Codirigent safe to install? View the security audit →
Codirigent A terminal workspace for running multiple AI coding CLIs in parallel Website · Download · Report a Bug · 繁體中文 · 简体中文 https://github.com/user-attachments/assets/51b821fd-dfc3-40f0-b1f3-e8727045f474 If you're running Claude Code, Codex, or Gemini across multiple projects at the same time, you know the pain: opening terminals, -ing into repos, arranging windows, losing track of which agent is doing what. Codirigent is a Tmux-style workspace built for this workflow. Open it once, and your sessions are already where you left them — right directory, right layout, right agent. Features Multiple sessions, one view — run Claude Code, Codex, and Gemini side by si
| Stars | 103 |
| Forks | 10 |
| Language | Rust |
| Category | Codex Skill |
| License | GPL-3.0 |
| Quality Score | 65.6934749836468/100 |
| Open Issues | 6 |
| Last Updated | 2026-07-09 |
| Created | 2026-02-02 |
| Platforms | claude-code, cli, codex, gemini, rust |
| Est. Tokens | ~23k |
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Codirigent is A terminal workspace for running multiple AI coding CLIs in parallel. It is categorized as a Codex Skill with 103 GitHub stars.
Codirigent is primarily written in Rust. It covers topics such as ai-agents, claude-code, cli.
You can find installation instructions and usage details in the Codirigent GitHub repository at github.com/oso95/Codirigent. The project has 103 stars and 10 forks, indicating an active community.
Codirigent is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to Codirigent on Agent Skills Hub include genie, toktrack, hcom. 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: