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 Ducksss · Codex Skill · ★ 149
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codex-profiles safe to install? View the security audit →
codex-profiles Two Codex profiles. One Mac. No token swapping. Project page | llms.txt | GEO audit Switch Codex CLI and Desktop accounts with isolated profiles. Keep personal, work, school, and client state separated without copying token files around. is a small Bash wrapper around Codex's support. Each profile gets its own Codex home directory, so auth, settings, sessions, connectors, plugins, caches, logs, and local state stay separated while the wrapper launches Codex CLI or Codex Desktop with the selected profile. sh
| Stars | 149 |
| Forks | 10 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.059640800894/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-15 |
| Created | 2026-04-25 |
| Platforms | cli, codex |
| Est. Tokens | ~15k |
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codex-profiles is Named CODEX_HOME profiles and ChatGPT Desktop windows with separate local state, without copying tokens. It is categorized as a Codex Skill with 149 GitHub stars.
codex-profiles is primarily written in Shell. It covers topics such as account-switcher, ai-tools, automation.
You can find installation instructions and usage details in the codex-profiles GitHub repository at github.com/Ducksss/codex-profiles. The project has 149 stars and 10 forks, indicating an active community.
codex-profiles is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to codex-profiles on Agent Skills Hub include code-notify, mobius, codemap. 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: