Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by saaranshM · Codex Skill · ★ 147
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is unsnooze safe to install? View the security audit →
Claude Code · Codex CLI · Grok · Qwen · Kimi · OpenCode · Antigravity — when they hit the 5-hour or weekly usage limit ("You've hit your usage limit"), your session just… stops. unsnooze auto-resumes them: it tracks every limit-stopped session across all your projects and wakes each one up in tmux or Zellij the moment the usage limit resets. Why unsnooze Overnight and long-running agent work dies at the 5-hour / weekly limit, and every existing tool solves only a slice of it: | GUI sessions (VS Code e
| Stars | 147 |
| Forks | 13 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.8054121708365/100 |
| Last Updated | 2026-09-21 |
| Created | 2026-07-10 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~17k |
These tools work well together with unsnooze for enhanced workflows:
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unsnooze is Automatically resume Claude Code, Codex CLI, Grok, Qwen Code, Kimi CLI, OpenCode, and Antigravity sessions when 5-hour or weekly usage limits reset—across tmux, Zellij, VS Code, and desktop apps.. It is categorized as a Codex Skill with 147 GitHub stars.
unsnooze is primarily written in JavaScript. It covers topics such as agentic-coding, ai-agents, anthropic.
You can find installation instructions and usage details in the unsnooze GitHub repository at github.com/saaranshM/unsnooze. The project has 147 stars and 13 forks, indicating an active community.
unsnooze is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to unsnooze on Agent Skills Hub include hcom, palot, sub-agents-mcp. 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: