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. Uses GPT-5.2 by default for state-of-the-art software engineering.
Best use case
codex is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "codex" skill to help with this workflow task. Context: Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/codex/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How codex Compares
| Feature / Agent | codex | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this 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. Uses GPT-5.2 by default for state-of-the-art software engineering.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Codex Skill Guide ## Running a Task 1. Default to `gpt-5.2` model. Ask the user (via `AskUserQuestion`) which reasoning effort to use (`xhigh`,`high`, `medium`, or `low`). User can override model if needed (see Model Options below). 2. Select the sandbox mode required for the task; default to `--sandbox read-only` unless edits or network access are necessary. 3. Assemble the command with the appropriate options: - `-m, --model <MODEL>` - `--config model_reasoning_effort="<high|medium|low>"` - `--sandbox <read-only|workspace-write|danger-full-access>` - `--full-auto` - `-C, --cd <DIR>` - `--skip-git-repo-check` 3. Always use --skip-git-repo-check. 4. When continuing a previous session, use `codex exec --skip-git-repo-check resume --last` via stdin. When resuming don't use any configuration flags unless explicitly requested by the user e.g. if he species the model or the reasoning effort when requesting to resume a session. Resume syntax: `echo "your prompt here" | codex exec --skip-git-repo-check resume --last 2>/dev/null`. All flags have to be inserted between exec and resume. 5. **IMPORTANT**: By default, append `2>/dev/null` to all `codex exec` commands to suppress thinking tokens (stderr). Only show stderr if the user explicitly requests to see thinking tokens or if debugging is needed. 6. Run the command, capture stdout/stderr (filtered as appropriate), and summarize the outcome for the user. 7. **After Codex completes**, inform the user: "You can resume this Codex session at any time by saying 'codex resume' or asking me to continue with additional analysis or changes." ### Quick Reference | Use case | Sandbox mode | Key flags | | --- | --- | --- | | Read-only review or analysis | `read-only` | `--sandbox read-only 2>/dev/null` | | Apply local edits | `workspace-write` | `--sandbox workspace-write --full-auto 2>/dev/null` | | Permit network or broad access | `danger-full-access` | `--sandbox danger-full-access --full-auto 2>/dev/null` | | Resume recent session | Inherited from original | `echo "prompt" \| codex exec --skip-git-repo-check resume --last 2>/dev/null` (no flags allowed) | | Run from another directory | Match task needs | `-C <DIR>` plus other flags `2>/dev/null` | ## Model Options | Model | Best for | Context window | Key features | | --- | --- | --- | --- | | `gpt-5.2-max` | **Max model**: Ultra-complex reasoning, deep problem analysis | 400K input / 128K output | 76.3% SWE-bench, adaptive reasoning, $1.25/$10.00 | | `gpt-5.2` ⭐ | **Flagship model**: Software engineering, agentic coding workflows | 400K input / 128K output | 76.3% SWE-bench, adaptive reasoning, $1.25/$10.00 | | `gpt-5.2-mini` | Cost-efficient coding (4x more usage allowance) | 400K input / 128K output | Near SOTA performance, $0.25/$2.00 | | `gpt-5.1-thinking` | Ultra-complex reasoning, deep problem analysis | 400K input / 128K output | Adaptive thinking depth, runs 2x slower on hardest tasks | **GPT-5.2 Advantages**: 76.3% SWE-bench (vs 72.8% GPT-5), 30% faster on average tasks, better tool handling, reduced hallucinations, improved code quality. Knowledge cutoff: September 30, 2024. **Reasoning Effort Levels**: - `xhigh` - Ultra-complex tasks (deep problem analysis, complex reasoning, deep understanding of the problem) - `high` - Complex tasks (refactoring, architecture, security analysis, performance optimization) - `medium` - Standard tasks (refactoring, code organization, feature additions, bug fixes) - `low` - Simple tasks (quick fixes, simple changes, code formatting, documentation) **Cached Input Discount**: 90% off ($0.125/M tokens) for repeated context, cache lasts up to 24 hours. ## Following Up - After every `codex` command, immediately use `AskUserQuestion` to confirm next steps, collect clarifications, or decide whether to resume with `codex exec resume --last`. - When resuming, pipe the new prompt via stdin: `echo "new prompt" | codex exec resume --last 2>/dev/null`. The resumed session automatically uses the same model, reasoning effort, and sandbox mode from the original session. - Restate the chosen model, reasoning effort, and sandbox mode when proposing follow-up actions. ## Error Handling - Stop and report failures whenever `codex --version` or a `codex exec` command exits non-zero; request direction before retrying. - Before you use high-impact flags (`--full-auto`, `--sandbox danger-full-access`, `--skip-git-repo-check`) ask the user for permission using AskUserQuestion unless it was already given. - When output includes warnings or partial results, summarize them and ask how to adjust using `AskUserQuestion`. ## CLI Version Requires Codex CLI v0.57.0 or later for GPT-5.2 model support. The CLI defaults to `gpt-5.2` on macOS/Linux and `gpt-5.2` on Windows. Check version: `codex --version` Use `/model` slash command within a Codex session to switch models, or configure default in `~/.codex/config.toml`.
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