codex
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
npx skills add majiayu000/claude-skill-registry --skill codex-bear2u-my-skills --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Codex Skill Guide ## Running a Task 1. Ask the user (via `AskUserQuestion`) which model to run: `gpt-5` or `gpt-5-codex`. 2. Ask the user (via `AskUserQuestion`) which reasoning effort to use: `low`, `medium`, or `high`. 3. Select the sandbox mode required for the task; default to `--sandbox read-only` unless edits or network access are necessary. 4. Assemble the command with the appropriate options: - `-m, --model <MODEL>` - `--config model_reasoning_effort="<low|medium|high>"` - `--sandbox <read-only|workspace-write|danger-full-access>` - `--full-auto` - `-C, --cd <DIR>` - `--skip-git-repo-check` 5. When continuing a previous session, use `codex exec resume --last` via stdin. **IMPORTANT**: When resuming, you CANNOT specify model, reasoning effort, or other flags—the session retains all settings from the original run. Resume syntax: `echo "your prompt here" | codex exec resume --last` 6. Run the command, capture stdout/stderr, and summarize the outcome for the user. ### Quick Reference | Use case | Sandbox mode | Key flags | | --- | --- | --- | | Read-only review or analysis | `read-only` | `--sandbox read-only` | | Apply local edits | `workspace-write` | `--sandbox workspace-w
- Running a Task
- Quick Reference
- Following Up
- Error Handling
What does the codex skill do?
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill codex-bear2u-my-skills --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.