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 miuuyy · MCP Server · ★ 5.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codex-chatgpt-web safe to install? View the security audit →
ChatGPT Web for Codex Use ChatGPT Web (including Pro) as native Codex models. Change the model tier, save your workflow. English · 简体中文 Pick ChatGPT Web — Instant, Medium, High, Extra High, or Pro in Codex's native model picker. The bridge sends the complete Codex task context to a fresh ChatGPT Temporary Chat, attaches images, and streams visible reasoning, tool activity, and Markdown back into the same Codex task. text Codex task ──Responses + SSE──▶ codex-chatgpt-w
| Stars | 5,648 |
| Forks | 496 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.2921482356199/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-08 |
| Created | 2026-07-26 |
| Platforms | browser, codex, mcp, node |
| Est. Tokens | ~16k |
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codex-chatgpt-web is Use ChatGPT Web (including Pro) as a native model in Codex — with context, tools, streaming and images, without using Codex quota.. It is categorized as a MCP Server with 5.6k GitHub stars.
codex-chatgpt-web is primarily written in TypeScript. It covers topics such as chatgpt, chatgpt-pro, codex.
You can find installation instructions and usage details in the codex-chatgpt-web GitHub repository at github.com/miuuyy/codex-chatgpt-web. The project has 5.6k stars and 496 forks, indicating an active community.
codex-chatgpt-web is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to codex-chatgpt-web on Agent Skills Hub include ai-guide, voltagent, claude-context. 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: