codex-assistant

Run AI-powered tasks using OpenAI Codex CLI. Use when Claude needs to (1) delegate code analysis or generation tasks to Codex, (2) get a second opinion on code changes, (3) perform parallel AI review,

SKILL.md

GitHub

Codex Assistant

Execute tasks using OpenAI Codex CLI and analyze results.

Important Limitations

Codex runs in read-only sandbox mode. It cannot:

  • Create or modify files
  • Execute scripts or commands that write to disk
  • Run generated code

Always ask Codex to output results directly to stdout. Do not request file creation or modification - instead, ask Codex to print/output the code or results, which Claude can then save if needed.

Command

codex exec --model gpt-5.2-codex "PROMPT"

Prompt Format

Structure prompts with three sections:

# Role
[Describe the role/persona for the task]

# Context
[Include relevant information:]
- File paths and links to documentation
- Memory files or conversation context
- Additional task-relevant details

# Task
[Clear task description]
[Expected deliverables]

Workflow

  1. Construct prompt - Build structured prompt with Role, Context, Task
  2. Execute codex - Run command with the formatted prompt
  3. Analyze output - Review results for:
    • Completeness of task execution
    • Quality and accuracy of output
    • Issues or recommendations identified
    • Actionable items to address

Example

codex exec --model gpt-5.2-codex "# Role
Senior code reviewer with expertise in security and best practices.

# Context
Repository: /path/to/project
Files changed: src/auth.py, src/api.py
Branch: feature/user-auth

# Task
Review changes against develop branch.
Search for security issues, bugs, and suggest improvements.
Output your findings and recommendations to stdout."

Note: Always phrase tasks to output results rather than create/modify files. For code generation, ask Codex to "print the code" or "output the script" instead of "create a file".

Output Analysis

After codex completes, evaluate:

  • Findings - Key issues or insights discovered
  • Recommendations - Suggested improvements or fixes
  • Action items - Concrete next steps to implement
  • Quality - Overall assessment of the analysis