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 EvanZhouDev · Codex Skill · ★ 1.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openai-oauth safe to install? View the security audit →
openai-oauth NPM | Legal Free OpenAI API access with your ChatGPT account. Just run . How to Use You can currently use in two different ways: CLI This package lets you create a localhost proxy to pre-authenticated with your Oauth tokens. Use directly: This is a Vercel AI SDK Provider. Configuration The CLI and the provider share the same core OAuth transport settings.
| Stars | 1,209 |
| Forks | 212 |
| Language | TypeScript |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 68.9829151389462/100 |
| Open Issues | 29 |
| Last Updated | 2026-07-15 |
| Created | 2026-03-15 |
| Platforms | codex, node |
| Est. Tokens | ~15k |
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openai-oauth is Free AI with your ChatGPT account. It is categorized as a Codex Skill with 1.2k GitHub stars.
openai-oauth is primarily written in TypeScript. It covers topics such as ai, chatgpt, codex.
You can find installation instructions and usage details in the openai-oauth GitHub repository at github.com/EvanZhouDev/openai-oauth. The project has 1.2k stars and 212 forks, indicating an active community.
openai-oauth is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to openai-oauth on Agent Skills Hub include codexia, archestra, AIaW. 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: