codex-subagent – Agents & Automation skill for AI agents

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. Confirm the user's intended authentication mode and account; this workflow assumes ChatGPT login and must not silently switch to billable API-key authentication.

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/null is 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, --json for 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 status non-zero → the user must run codex 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

• Delegate only when the user or applicable project instructions authorize it. Installing this skill alone does not authorize new agents, external disclosure, or extra spending.
• 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.