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 manaflow-ai · Codex Skill · ★ 27.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cmux safe to install? View the security audit →
cmux A Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents English Türkçe ▶ Demo video · <a hr
| Stars | 27,341 |
| Forks | 2,388 |
| Language | Swift |
| Category | Codex Skill |
| Quality Score | 61.8793069856514/100 |
| Open Issues | 5294 |
| Last Updated | 2026-09-23 |
| Created | 2026-01-28 |
| Platforms | claude-code, cli, codex, gemini |
| Est. Tokens | ~17k |
These tools work well together with cmux for enhanced workflows:
Looking for a cmux alternative? If you're comparing cmux with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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cmux is Open source Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents. Built for multitasking, organization, and programmability.. It is categorized as a Codex Skill with 27.3k GitHub stars.
cmux is primarily written in Swift. It covers topics such as amp, claude-code, cli.
You can find installation instructions and usage details in the cmux GitHub repository at github.com/manaflow-ai/cmux. The project has 27.3k stars and 2388 forks, indicating an active community.
The top alternatives to cmux on Agent Skills Hub include herdr, herdr, superset. 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: