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 ComposioHQ · Codex Skill · ★ 9.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-codex-skills safe to install? View the security audit →
Awesome Codex Skills A curated list of practical Codex skills for automating workflows across the Codex CLI and API. Want skills that do more than generate text? Codex can send emails, create issues, post to Slack, and take actions across 1000+ apps. See how → Quickstart: Add Ski
| Stars | 9,707 |
| Forks | 907 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 69.0273636824475/100 |
| Open Issues | 34 |
| Last Updated | 2026-05-15 |
| Created | 2026-01-12 |
| Platforms | cli, codex, python |
| Est. Tokens | ~287k |
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awesome-codex-skills is A curated list of practical Codex skills for automating workflows across the Codex CLI and API.. It is categorized as a Codex Skill with 9.7k GitHub stars.
awesome-codex-skills is primarily written in Python. It covers topics such as awesome, awesome-lists, awesome-resources.
You can find installation instructions and usage details in the awesome-codex-skills GitHub repository at github.com/ComposioHQ/awesome-codex-skills. The project has 9.7k stars and 907 forks, indicating an active community.
The top alternatives to awesome-codex-skills on Agent Skills Hub include awesome-codex-skills, awesome-agent-skills, context-mode. 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: