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 composio-community · Codex Skill · ★ 16.6k
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. Give your skills real-world actions Skills tell your agent how to work. An MCP Gateway gives it secure access to the tools it needs. Composio [MCP Gateway](https://composio.dev/mcp-gat
| Stars | 16,610 |
| Forks | 1,633 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 68.8288132603308/100 |
| Open Issues | 229 |
| Last Updated | 2026-07-26 |
| Created | 2026-01-12 |
| Platforms | cli, codex, python |
| Est. Tokens | ~17k |
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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 16.6k 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/composio-community/awesome-codex-skills. The project has 16.6k stars and 1633 forks, indicating an active community.
The top alternatives to awesome-codex-skills on Agent Skills Hub include awesome-codex-skills, awesome-claude-code, awesome-agent-skills. 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: