Codex Profiles

Overview

Use codex-profiles when a user wants separate Codex CLI or Codex Desktop contexts for work, personal, school, client, or project-specific activity. The tool wraps Codex's CODEX_HOME support so each profile has its own Codex home directory for auth, config, sessions, connectors, plugins, caches, logs, and local state.

This skill is for profile selection and operational safety around that boundary. It is not an official OpenAI project, and it does not provide full OS-level isolation.

When to Use This Skill

• Use when the user wants to keep multiple Codex accounts or project contexts separate on one machine.
• Use when a workflow needs a different CODEX_HOME without manually exporting environment variables.
• Use when diagnosing which Codex profile is active or whether profiles are logged in.
• Use when the user asks about Codex account switching without copying auth.json.
• Use when launching Codex Desktop from a profile, only after confirming the user accepts app/process disruption.

How It Works

Step 1: Confirm Scope and Installation

First check whether the user wants CLI-only profile switching or Codex Desktop profile launching. Desktop operations can quit, launch, clone, or rebuild app instances, so get explicit approval before running them.

If the tool is already installed, inspect the live command surface:

codex-profile --help
codex-profile doctor
codex-profile list
codex-profile status

If it is not installed, prefer package-manager installs the user can inspect and control:

npm install -g codex-profile
brew install Ducksss/tap/codex-profile

Do not run remote install scripts automatically. If the user asks for a source install, clone the repository and inspect its install instructions first.

Step 2: Create or Select a Profile

Create a new isolated Codex home only when the user names the intended profile:

codex-profile init work
codex-profile path work

Ask the user to log in once per profile when needed:

codex-profile login work

Do not copy, parse, print, or migrate auth.json tokens between profiles.

Step 3: Run Codex CLI With a Profile

Use the CLI profile wrapper for ordinary agent work:

codex-profile cli work
codex-profile cli work exec "run tests and summarize failures"

For one-off shell sessions, prefer the tool's environment or shell activation commands after checking --help:

codex-profile env work
codex-profile shell-init --help

Step 4: Use Desktop Profile Commands Carefully

Codex Desktop launch flows can affect running app state. Before running them, state which profile, app mode, and workspace will be used, then wait for approval.

codex-profile app work ~/Dev/project
codex-profile app work --instance ~/Dev/project

Use --instance only when the user wants side-by-side Desktop profiles and accepts the additional local app clone and separate Electron user-data boundary.

Examples

Example 1: Read-Only Profile Audit

codex-profile list
codex-profile status
codex-profile doctor

Use this before changing profile state. It should not expose token contents.

Example 2: CLI Task in a Work Profile

codex-profile cli work exec "inspect this repository and run its test suite"

Confirm the profile name is intentional before running long tasks.

Example 3: Manual CODEX_HOME Equivalent

If the wrapper is unavailable, explain the underlying boundary instead of improvising token movement:

CODEX_HOME="$HOME/.codex-work" codex
CODEX_HOME="$HOME/.codex-work" codex exec "review this change"

Best Practices

• Keep profile names explicit and boring, such as work, personal, client-a, or school.
• Use status, list, and doctor before destructive or Desktop actions.
• Treat each profile as a separate local Codex home, not as a full sandbox.
• Keep secrets inside the account/profile that owns them; do not copy auth files between profiles.
• Prefer CLI profile commands for routine work and reserve Desktop app commands for user-approved context switches.
• Verify behavior against the installed codex-profile --help, because command flags can change.

Limitations

• codex-profiles is community-maintained and is not an official OpenAI tool.

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