by krishhgg · Codex Skill · ★ 1.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Flagged: privilege escalation, sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 1,597 |
| Forks | 115 |
| Language | Swift |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 54 |
| Last Updated | 2026-10-19 |
| Created | 2026-09-14 |
| Platforms | claude-code, codex |
| Est. Tokens | ~17k |
Insomnia Keep your Mac awake. Give the session an end time. A macOS menu bar app for timed awake sessions. Insomnia is an eye icon that lives in your MacBook menu bar. It has no Dock icon and no main window. Set how long your Mac stays awake, choose what happens when the lid closes, and see when something could not be undone.
These tools work well together with Insomnia for enhanced workflows:
Looking for a Insomnia alternative? If you're comparing Insomnia 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.
Keep your Mac awake only while AI coding agents are working
macOS desktop widget for OpenAI Codex usage, quota tracking, token usage, and today task board
Native macOS app to monitor AI usage limits and watch your coding sessions live
Monitor all your Claude/Codex usage limits in real-time from your macOS menu bar - supports 5-hour, 7-day, ext
Menu Bar App on MacOS and Windows that cuts Claude Code and Codex token costs by ~50%
Claude Code skills for Apple platform development (iOS, macOS, iPadOS) — product validation, code generation,
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: