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 Loongphy · Codex Skill · ★ 2.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codex-auth safe to install? View the security audit →
Codex Auth is a command-line tool for switching Codex accounts. [!IMPORTANT] For Codex CLI and Codex App users, switch accounts, then restart the client for the new account to take effect. If you use the CLI and want seamless automatic account switching without restarting, use the forked , an enhanced Codex CLI. Install it with and run . Supported Platforms works with these Codex clients: Codex CLI VS Code extension Codex App For the best experience, install the Codex CLI even if you mainly use the VS Code extension or the App, because it makes adding accounts easier: After that, you can use , , , or to sign in and add accounts more easily. Install Install with npm: You can also run it without a global
| Stars | 2,687 |
| Forks | 157 |
| Language | Zig |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 73.1594410715661/100 |
| Open Issues | 32 |
| Last Updated | 2026-09-15 |
| Created | 2026-02-10 |
| Platforms | cli, codex |
| Est. Tokens | ~17k |
These tools work well together with codex-auth for enhanced workflows:
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codex-auth is A CLI tool to switch and manage Codex accounts. It is categorized as a Codex Skill with 2.7k GitHub stars.
codex-auth is primarily written in Zig. It covers topics such as codex, zig.
You can find installation instructions and usage details in the codex-auth GitHub repository at github.com/Loongphy/codex-auth. The project has 2.7k stars and 157 forks, indicating an active community.
codex-auth is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to codex-auth on Agent Skills Hub include cursor-talk-to-figma-mcp, openpencil, dbhub. 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: