codex-subagent
Makes your agent perform coding or review tasks in isolation. This ensures tasks are done in a controlled and safe environment.
What it does
This tool lets you run specific, isolated coding tasks using the Codex CLI, a command-line coding tool. It's useful when you need the AI to work on a well-defined code task without interfering with other parts of your project.
When to use it
- ✓When you need the AI to fix a specific bug in a file.
- ✓When you want the AI to add a small feature to a piece of code.
- ✓When you need the AI to review a section of your code to ensure it's correct.
Example of what to ask your AI
“Fix the bug in the login function in `auth.py` and let me know when it's done.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool runs the Codex CLI in a separate environment. You provide a clear instruction on what to do, and the Codex CLI attempts the task and returns the final result.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill codex-subagentOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/skills/codex-subagent/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Codex CLI as a Subagent
When to Use
- Use when a bounded coding, review, or verification task can run in a separate Codex CLI session.
- Use when parallel work needs explicit file ownership and a clear definition of done.
Codex CLI is OpenAI's terminal coding agent. codex exec runs it non-interactively:
it works autonomously in a sandbox, streams progress to stderr, and prints only the
final message to stdout. Auth reuses the user's ChatGPT subscription — never an API key.
When to delegate
- Self-contained coding task with clear success criteria (fix, feature, refactor, review).
- Parallel work: several independent tasks at once (see Parallel runs).
- Second opinion / independent verification of your own changes.
Do NOT delegate tasks that need conversation context you can't fully write into the prompt.
Preflight
codex --version # missing? npm i -g @openai/codex (or: brew install --cask codex)
codex login status # exit 0 + "Logged in using ChatGPT" = ready
Not logged in → stop and tell the user to run codex login (one-time browser OAuth).
Never read, print, or copy credentials (~/.codex/auth.json).
Launch
OUT=$(mktemp /tmp/codex-out.XXXXXX)
codex exec \
--cd /path/to/repo \
--sandbox workspace-write \
--output-last-message "$OUT" \
"Full task prompt: goal, constraints, files to touch, definition of done." \
</dev/null
</dev/nullis MANDATORY when stdin is not a real terminal (background shells, scripts): codex treats open stdin as extra context and waits forever for EOF.- Codex sees NOTHING of your conversation. Put all context in the prompt: goal, relevant paths, constraints, and how to verify it's done.
- Long prompt? Pipe it via stdin instead:
codex exec [flags] - < /tmp/task.md. - Wrap the command in a background/Bash subagent if your host agent has one (Cursor: Task tool with a shell subagent) so Codex's verbose stream stays out of the parent context. Fallback: a plain background terminal.
- Runs take minutes and have no built-in timeout — background it and monitor.
- Optional:
-m <model>to override the model,--jsonfor JSONL event stream.
Collect results
cat "$OUT" # final message = the deliverable
git -C /path/to/repo status --short # see what Codex actually changed
Follow-up in the same session (run from the same cwd — resume filters by cwd):
codex exec resume --last "follow-up instruction" </dev/null
Parallel runs
Parallelize only genuinely independent tasks, and assign file ownership upfront so results merge cleanly. One git worktree per Codex run — never two in the same tree:
git worktree add /tmp/wt-taskA -b codex/task-a
codex exec --cd /tmp/wt-taskA --sandbox workspace-write -o /tmp/outA.md "task A" </dev/null
Failure modes
- Hangs forever with no output → stdin was left open. Kill it, relaunch with
</dev/null. codex login statusnon-zero → the user must runcodex login. Don't work around it.- ChatGPT plan rate limit hit → report to the user; never retry in a loop.
- "Not a git repo" error → add
--skip-git-repo-check, or init a repo first. - Network is blocked inside the workspace-write sandbox by default. If the task
needs it (installs, API calls):
-c sandbox_workspace_write.network_access=true. - NEVER use
--dangerously-bypass-approvals-and-sandbox.
Rules
- One task per launch. Split big jobs into multiple launches.
- Review Codex's diff yourself before declaring the task done.
Cursor-native wrapper (optional)
For auto-routing and /codex invocation inside Cursor, add ~/.cursor/agents/codex.md —
a custom subagent whose description is "delegates coding tasks to Codex CLI" and whose
body points at this skill.
Limitations
- Adapted from
davidondrej/skills; verify local paths, tools, credentials, and agent features before acting. - For commands, remote access, scheduling, browser automation, or file-changing workflows, get explicit user approval and confirm the target environment first.
FAQ
What is Codex CLI?
It's a command-line tool from OpenAI that helps write and review code autonomously.
Do I need a special account?
You need to be logged into your ChatGPT account. The tool uses your existing subscription, no API keys needed.
Can I ask the AI to do multiple things at once?
It's best to ask for one task at a time to ensure the AI focuses and delivers the expected result.
Details
Original description by the author
Launch Codex CLI as an isolated subagent for bounded coding, review, or verification tasks.
Popularity
- GitHub stars
- 48k
- Ranking position
- #4649
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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