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 taishi-i · Codex Skill · ★ 3.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-ChatGPT-repositories safe to install? View the security audit →
awesome-ChatGPT-repositories A curated list of resources dedicated to open source GitHub repositories related to ChatGPT. A tool for searching these repositories is available on Hugging Face Spaces. Your contributions are always welcome! Before contributing, please read the guidelines. Claude Code Skill Search 2,500+ curated repositories directly from Claude Code — no browser needed, just describe what you're looking for. Find tools by topic — RAG frameworks, agent libraries, chatbot UIs, CLI tools, and more Filter by category or language — narrow results to a specific ca
| Stars | 3,269 |
| Forks | 478 |
| Language | Python |
| Category | Codex Skill |
| License | CC0-1.0 |
| Quality Score | 65.8612546898825/100 |
| Open Issues | 45 |
| Last Updated | 2026-09-30 |
| Created | 2023-04-02 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~25k |
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awesome-ChatGPT-repositories is A curated list of open source GitHub repositories related to ChatGPT, the OpenAI API, and Codex. Searchable via Claude Code and Codex skills.. It is categorized as a Codex Skill with 3.3k GitHub stars.
awesome-ChatGPT-repositories is primarily written in Python. It covers topics such as agent, agent-skills, ai.
You can find installation instructions and usage details in the awesome-ChatGPT-repositories GitHub repository at github.com/taishi-i/awesome-ChatGPT-repositories. The project has 3.3k stars and 478 forks, indicating an active community.
awesome-ChatGPT-repositories 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-ChatGPT-repositories on Agent Skills Hub include awesome-ai-sdks, awesome-agent-skills, 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: