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 daemonphantom · Codex Skill · ★ 77
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Awayke safe to install? View the security audit →
Awayke Awayke is a small one-click macOS menubar utility that prevents your Mac from sleeping when the lid is closed What it does Single click in your menubar: Orange laptop icon - active: your Mac won't sleep even if you close the lid. White laptop icon - inactive: restores your normal Mac settings. Quitting Awayke always re-enables sleep automatically. Install Download (recommended): Download the latest from Releases. Unzip it and drag to . Open it. MacOS will ask you to approve Awayke's background helper (see image). Approve it once and toggling sleep is instant from then on. Or build from s
| Stars | 77 |
| Forks | 6 |
| Language | Swift |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.3779010380155/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-24 |
| Created | 2026-05-17 |
| Platforms | claude-code, codex |
| Est. Tokens | ~16k |
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Awayke is Keep Your Mac Awayke With the Lid Closed. It is categorized as a Codex Skill with 77 GitHub stars.
Awayke is primarily written in Swift. It covers topics such as ai-agents, caffeinate, clamshell-mode.
You can find installation instructions and usage details in the Awayke GitHub repository at github.com/daemonphantom/Awayke. The project has 77 stars and 6 forks, indicating an active community.
Awayke is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Awayke on Agent Skills Hub include cctop, agent-island, lockpaw. 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: