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 milisp · Codex Skill · ★ 115
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-codex-cli safe to install? View the security audit →
Awesome Codex CLI 🚀 A curated list of Agent skill, awesome resources, tools, and tutorials for OpenAI Codex CLI Features Agent Skills General Workflows & Knowledge Guides Tools GUI & MCP setup tool Session manager WebUI \& App Development Tools Stat Editor Termial System Official Resources Documentation Blog Posts & Tutorials GUI & Web Interface Extensions Official Web Interface IDE Integrations Use Cases [Develo
| Stars | 115 |
| Forks | 99 |
| Category | Codex Skill |
| License | CC0-1.0 |
| Quality Score | 68.9543329302118/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-20 |
| Created | 2025-08-24 |
| Platforms | cli, codex |
| Est. Tokens | ~16k |
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awesome-codex-cli is A curated list of awesome resources, tools, and tutorials for OpenAI Codex CLI. It is categorized as a Codex Skill with 115 GitHub stars.
You can find installation instructions and usage details in the awesome-codex-cli GitHub repository at github.com/milisp/awesome-codex-cli. The project has 115 stars and 99 forks, indicating an active community.
awesome-codex-cli is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome-codex-cli on Agent Skills Hub include ai-sdk-provider-codex-cli, awesome-ai-coding-techniques, holysheep-cli. 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: