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 Lampese · Codex Skill · ★ 816
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codex-switcher safe to install? View the security audit →
Codex Switcher A Desktop Application for Managing Multiple OpenAI Codex CLI Accounts Easily switch between accounts, monitor usage limits, and stay in control of your quota Features Multi-Account Management – Add and manage multiple Codex accounts in one place Quick Switching – Switch between accounts with a single click System Tray Switching – Switch accounts directly from the menu bar or system tray Usage Monitoring – View real-time usage for both 5-hour and weekly limits Dual Login Mode – OAuth authentication or import existing files Installation Prerequisites Node.js (v18+) pnpm Rust Build from Source Windows: the script runs through a POSIX shell wrapper () and will not work in PowerShell/CMD. Use the script instead: and . The built application will be in . Run the D
| Stars | 816 |
| Forks | 144 |
| Language | Rust |
| Category | Codex Skill |
| Quality Score | 68.8160955359434/100 |
| Open Issues | 87 |
| Last Updated | 2026-09-19 |
| Created | 2026-01-14 |
| Platforms | cli, codex, rust |
| Est. Tokens | ~22k |
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codex-switcher is A Desktop Application for Managing Multiple OpenAI Codex CLI Accounts. It is categorized as a Codex Skill with 816 GitHub stars.
codex-switcher is primarily written in Rust. It covers topics such as agent, codex, openai.
You can find installation instructions and usage details in the codex-switcher GitHub repository at github.com/Lampese/codex-switcher. The project has 816 stars and 144 forks, indicating an active community.
The top alternatives to codex-switcher on Agent Skills Hub include open-vibe-island, Mysti, agentsys. 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: