codex
The Codex skill executes OpenAI Codex CLI commands for code analysis, refactoring, and automated editing tasks using GPT-5.2 by default. Use this skill when a user explicitly requests to run Codex operations like code review, transformation, or continuation of previous Codex sessions, selecting appropriate sandbox modes and reasoning effort levels based on task requirements.
git clone --depth 1 https://github.com/jdrhyne/agent-skills /tmp/codex && cp -r /tmp/codex/codex/codex ~/.claude/skills/codexSKILL.md
# 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." ## Safety Boundaries - Do not run `codex exec` until the user has explicitly asked to use Codex for the task. - Do not select `--full-auto` or a broader sandbox mode than the task requires. - Do not overwrite user files, create commits, or perform destructive operations without explicit user approval. - Do not use networked or danger-full-access runs unless the user requested work that actually needs them. ### 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 | | `gpt-5.2` ⭐ | **Flagship model**: Software engineering, agentic coding workflows | 400K input / 128K output | 76.3% SWE-bench, adaptive reasoning | | `gpt-5.2-mini` | Cost-efficient coding (4x more usage allowance) | 400K input / 128K output | Near SOTA performance | | `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**: Cached context is substantially cheaper than first-pass context. Check current vendor pricing before quoting costs. ## 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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