zhishile/codex-auth-helper

Codex登陆助手:安全地在本地导出您的已登录 ChatGPT 会话配置,生成符合 Codex 规范的 auth.json 本地备份文件。

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Summary Information

Updated 21 minutes ago
Added to GitGenius on September 1st, 2026
Created on June 2nd, 2026
Open Issues & Pull Requests: 71 (+0)
GitHub issues: Enabled
Number of forks: 514
Total Stargazers: 12,754 (+0)
Total Subscribers: 16 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 12.8 hours
Mean response time: 2.0 days
90th percentile: 6.2 days
Tracked items: 54

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Almost all tracked open issues have seen activity in the last three months. Only 1% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 68
New in 7 days: 4
Closed in 7 days: 1
Avg open age: 38 days
Stale 30+ days: 38
Stale 90+ days: 2

Recent activity

Opened in 7 days: 4
Closed in 7 days: 1
Comments in 7 days: 13
Events in 7 days: 14

Top labels

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Detailed Description

Codex Auth Helper is a tool for exporting ChatGPT session credentials to a local authentication file compatible with Codex specifications.

The tool addresses the need to securely extract and preserve ChatGPT login session data from an active browser session. It works by reading the authenticated session configuration from a logged-in ChatGPT instance and converting it into an auth.json file that conforms to Codex standards, enabling local backup and reuse of credentials.

This tool is suited for users who want to maintain offline backups of their ChatGPT authentication state or integrate their existing ChatGPT sessions with Codex-based applications. It targets developers and users comfortable working with local credential files who need a bridge between ChatGPT's web authentication and Codex's configuration format. The approach prioritizes local export rather than cloud-based credential management, making it appropriate for those preferring to keep sensitive session data on their own machines.

The project shows minimal development activity with no recent commits or ongoing maintenance signals visible in the repository.