codex

Solid

Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing

AI & Automation 140 stars 15 forks Updated today MIT

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Skill Content

# Codex Skill Guide ## Running a Task 1. Ask the user (via `AskUserQuestion`) which model to run (`gpt-5.2-codex` or `gpt-5.2`) AND which reasoning effort to use (`xhigh`, `high`, `medium`, or `low`) in a **single prompt with two questions**. 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="<xhigh|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...

Details

Author
majiayu000
Repository
majiayu000/claude-arsenal
Created
5 months ago
Last Updated
today
Language
Python
License
MIT

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