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amirkiarafieiamirkiarafiei/subagent-cli-skills/skills/codex-cli/SKILL.md

codex-cli

Skill14 starsChanged 10 days agoMITView on GitHub

Use Codex CLI as a subagent. Lets the main agent prompt Codex CLI from the terminal in headless mode with the `codex` command, and send the goal, the decisions and the scope with the task. Use when the user asks to delegate work to Codex CLI, when a task needs a second independent agent, or when a plan needs a fresh perspective.

  • Installs packages

24 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use claude-cli, terraform and 3 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • julweberSkill

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    Also in 3 projects that use this

  • ihiteshguptaSkill

    terraform

    Expert in Infrastructure as Code with Terraform. Use for creating, managing, and versioning infrastructure across cloud providers.

    Also in 3 projects that use this

  • GoogleSkill

    ponytail

    Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use on ANY coding task: writing, adding, refactoring, fixing, reviewing, or designing code, and choosing libraries or dependencies. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Do NOT use for non-coding requests (general knowledge, prose, translation, summaries, recipes).

    Also in 4 projects that use this

  • MicrosoftSkill

    caveman

    Ultra-compressed response style that reduces output token count while preserving technical accuracy, with intensity levels and auto-clarity safety rules

    Also in 3 projects that use this

  • GoogleSkill

    grill-me

    A relentless interview to sharpen a plan or design.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

11 rules. 0 are common, 8 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 21 edited versions we read keep these.

  • 8

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Secrets or policy-sensitive work: Do not pipe credentials into a subagent.

    line 48
  2. Distinctive:

    Low return on investment: If writing the handoff costs more than doing the edit, do the edit.

    line 50
  3. Distinctive:

    Treat every call as stateless delegation: the subagent keeps nothing between calls, so each command must carry its own state.

    line 61
  4. Distinctive:

    Write the prompt as a transfer of shared state, not as a title.

    line 71
  5. Distinctive:

    Prefer sequential delegations with explicit carry-over.

    line 82
  6. Distinctive:

    After the subagent returns:

    line 96
  7. Distinctive:

    Every vendor has its own terminal rules.

    line 104
  8. Distinctive:

    Exit code 0 is not success: If stdout is empty, treat the run as failed and read stderr.

    line 108
  9. Very specific:

    Keep all seven sub-headings, in this order, even if the answer is "none".

    line 119
  10. Very specific:

    Run codex debug models. It prints the raw model catalogue as JSON.

    line 167
  11. Very specific:

    If the user names a model, use it.

    line 172

“Common” is measured: kept by at least 6 in 10 of the 21 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Codex CLI (subagent / task delegation)

<!-- ============================================================================= GLOBAL HALF — sections 1 to 5. These sections are identical in every skill in this repository. Copy them without any change. Do not put a vendor name or a flag in them. A change here must be made in all skills at the same time. ============================================================================= -->

What is it

This skill teaches your agent to use an agent from another vendor as a subagent.

Almost every coding agent has a headless mode. Headless mode runs the agent from the terminal with one command and returns the answer to stdout. This skill gives the command pattern for one such agent, and the protocol to transfer enough context with the task.

You stay the main agent. You keep the plan, the decisions and the conversation with the user. The subagent does one bounded task and reports back.

When to delegate

  • The user asks for it. The user names another agent, or asks for a second opinion.
  • Large or multi-step work. The task covers several files, phases or checkpoints.
  • Code review with a fresh mind. Another agent reviews the work with a different lens and no memory of the decisions that produced it.
  • Planning that needs different ideas. A second agent proposes options that you did not consider.
  • An internal council. Several subagents answer the same question, and you compare the answers.
  • Deep research. The other CLI has web search, web extraction or browser automation.
  • Background investigation. A long task runs in the background while you continue in the foreground.

When not to delegate

  • Small or single-step tasks. One or two edits, or a short explanation, are faster in this thread.
  • Tight feedback loops. The user wants quick back-and-forth in one conversation.
  • Secrets or policy-sensitive work. Do not pipe credentials into a subagent. Redact first.
  • Context you already hold. Repeating the whole plan in a prompt adds no value.
  • Low return on investment. If writing the handoff costs more than doing the edit, do the edit.
  • Work that needs high precision and full judgement. A subagent without your context will break a task that depends on a detail only this session knows.

Delegation and context transfer protocol

An isolated subagent saves tokens, but it splits the story. The subagent does not see this conversation. It has no memory of the goal you agreed with the user, the decisions you already made, or the paths you agreed not to touch. A poor handoff causes misread tasks, wrong assumptions about the stack or the style, and wasted edits.

Treat every call as stateless delegation: the subagent keeps nothing between calls, so each command must carry its own state. A good handoff happens when you keep these practices in mind:

  • Shared state handoff. The prompt carries the original goal, the decisions already made, and the explicit scope, to bridge the subagent's missing session history.
  • Contextual preservation. The high-volume work stays in the isolated process, so the bulk never enters this conversation and no "split story" forms from missing history.
  • Result reconciliation. What comes back is folded into this thread afterwards, so there is a single source of truth.

Write the prompt as a transfer of shared state, not as a title. Include all six fields:

IncludeWhy
GoalThe same objective as the user, not only the immediate micro-task.
DecisionsFramework, patterns, naming, "use X not Y" — anything that would otherwise be guessed wrong.
ScopeThe absolute paths and modules to touch, and the areas to leave alone. A relative path may not resolve where you expect.
ConstraintsPerformance, accessibility, compatibility, review gates, "no new dependencies".
VerificationThe exact command the subagent must run and pass before it returns.
OutputFor example: "report only, no edits", "apply edits with a minimal diff", "list the files changed".

Prefer sequential delegations with explicit carry-over. Parallel runs diverge unless every run gets the same briefing.

Run the subagent in the mode that does the work without asking for approval. Headless mode has nobody to answer a permission prompt. Any mode that stops to ask will stall, or return an empty answer with a success exit code. Each CLI names this mode differently — take the flag from the vendor card below.

Never call a subagent in plan mode. Many CLIs have a plan or read-only mode. That mode makes the other agent write a plan for itself, which is not what you asked for: you want its work or its answer, and you keep the planning. Plan mode also waits for someone to approve that plan, so the run comes back with nothing. If you want no file changes, keep the auto-approving mode and write "report only, no edits" in the Output field. Do not use plan mode to make a run read-only.

After the subagent returns:

  • Report to the user. Give a short summary. Do not paste long logs unless the user asks.
  • Reconcile the context. Record the decisions it made, the files it changed, and the open risks, so this session stays the single source of truth.

CLI failure modes

Every vendor has its own terminal rules. A headless run fails quietly more often than it fails loudly.

  • Wrap the call in an external timeout. A headless CLI can stall before its own timeout starts.
  • Exit code 0 is not success. If stdout is empty, treat the run as failed and read stderr. A permission the CLI could not ask for, and a prompt that never arrived, both look like success.
  • Never carry a flag habit from one CLI to another. The same short flag means different things in different tools. In OpenCode, -p is --password: passing a prompt to it empties the message and the run waits on stdin forever. Confirm every flag against the CLI's own --help.
  • An unrecognized-flag error means this skill is stale, not that the task is impossible. Read --help, continue with the flags that exist, and tell the user which line in this file is wrong.
<!-- ============================================================================= VENDOR HALF — section 6. Everything below is specific to this CLI. Keep all seven sub-headings, in this order, even if the answer is "none". Take every flag from the installed binary (`<cli> --help`), not from memory and not from another skill in this repository. ============================================================================= -->

Vendor card

Binary and prompt form

  • Binary: codex
  • Install: npm install -g @openai/codex, or brew install --cask codex (from the vendor GitHub README).
  • Prompt form: positional, under the exec subcommand (alias codex e). codex exec "prompt" runs non-interactively and exits when the task completes; the prompt string is a plain argument to exec, not a flag's value. A bare codex "prompt" (no exec) opens the interactive TUI and never returns. Stdin handoff also works: cat instructions.txt | codex exec -.

Headless and output flags

NeedFlag
Run once and exitexec "prompt" (alias e)
NDJSON event stream instead of formatted text--json
Write the final assistant message to a file--output-last-message, -o <path>
Layer a config profile--profile, -p <name>
Skip loading the standard config file--ignore-user-config

Approvals and permissions

  • Sandbox policy — --sandbox, -s <read-only\|workspace-write\|danger-full-access> — bounds what model-generated shell commands can touch.
  • Approval policy — --ask-for-approval, -a <on-request|never> — the current CLI reference lists these two values. It is a global flag, so put it before exec if you use it. exec already defaults to never, so you rarely need it. --ask-for-approval never suppresses prompts but does not by itself grant network access — that's a separate sandbox_workspace_write.network_access config setting.
  • Full bypass — --dangerously-bypass-approvals-and-sandbox (alias --yolo) — sets the sandbox to danger-full-access and the approval policy to never together. This is the flag to use for unattended delegation; only run it in an already-hardened environment (container/VM/CI).
  • Middle ground — --approve-for-me (alias --not-so-yolo) — uses automatic approval review with on-request approvals and the workspace-write sandbox. It conflicts with --sandbox and --yolo, and the interactive CLI rejects --ask-for-approval with it. This card does not verify it inside exec; check codex exec --help first.
  • codex exec defaults to AskForApproval::Never even without any flag — headless mode does not wait for approval by default.
  • What happens with nobody to answer: the official docs state plainly that when an approval is needed but unavailable in non-interactive mode, "Codex exits with an error." It does not stall.

Models and how to list them

Run codex debug models. It prints the raw model catalogue as JSON. Add --bundled to skip the refresh and print only the catalogue bundled with the installed binary. Select the model for a run with --model, -m <identifier>; reasoning effort/tier is a config-level concern, not part of the model string. Interactively, /model lets you change the model and effort mid-session.

If the user names a model, use it. Otherwise run codex debug models (or check the docs below) and Artificial Analysis for current identifiers and pricing before picking one — Codex model names and retirements change often enough that a pinned one can fail outright.

Command pattern

codex exec "GOAL: [goal] | DECISIONS: [decisions] | SCOPE: [paths] | CONSTRAINTS: [constraints] | VERIFICATION: [test_command] | OUTPUT: [format]" \
  --dangerously-bypass-approvals-and-sandbox --model <identifier> 2>&1

Prompt examples

  • Implement: codex exec "GOAL: [goal] | DECISIONS: [decisions] | SCOPE: [paths] | CONSTRAINTS: [constraints] | VERIFICATION: [test_command] | OUTPUT: [format]" --yolo
  • Logic check: codex exec "GOAL: Analyze logic for edge cases and race conditions | SCOPE: [paths] | CONSTRAINTS: report only, no edits | VERIFICATION: [check_command] | OUTPUT: detailed report" --model <identifier>
  • Audit: codex exec "GOAL: Security audit of the authentication layer | SCOPE: [paths] | CONSTRAINTS: report only, no edits | OUTPUT: audit report"

Docs and reference

  • Flags, sandbox/approval values, delegation checklist: reference.md
  • Vendor documentation: https://learn.chatgpt.com/docs/developer-commands?surface=cli
  • Checked against the official documentation on 2026-11-05 (latest npm version 0.166.0). Not run against an installed binary — confirm with codex --help before trusting a flag. Note on --full-auto: an earlier version of this card recommended it. It is now deprecated — it still works for one release cycle and prints a warning, but it is scheduled for hard removal, so a command relying on it will start failing. The bypass flag is --dangerously-bypass-approvals-and-sandbox (alias --yolo).

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