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 mmr710 · Codex Skill · ★ 22
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is nightmux safe to install? View the security audit →
Your night crew, on Telegram. Run Claude Code, Codex or any terminal agent from a Telegram topic — one topic per tmux session. Watches the context window and the 5-hour limit, compacts before the wall, and holds prompts through a lockout instead of losing them. Python stdlib only, no relay server.
| Stars | 22 |
| Forks | 0 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.1003233586005/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-03 |
| Created | 2026-08-12 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~18k |
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nightmux is Your night crew, on Telegram. Run Claude Code, Codex or any terminal agent from a Telegram topic — one topic per tmux session. Watches the context window and the 5-hour limit, compacts before the wall. It is categorized as a Codex Skill with 22 GitHub stars.
nightmux is primarily written in Python. It covers topics such as agentic-coding, ai-agents, aider.
You can find installation instructions and usage details in the nightmux GitHub repository at github.com/mmr710/nightmux. The project has 22 stars and 0 forks, indicating an active community.
nightmux is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to nightmux on Agent Skills Hub include OmoiOS, untether, batty. 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: