Agent skill

Codex Delegate

by amElnagdy in amElnagdy/delegate-skills

Delegate a coding task to the OpenAI Codex CLI as a background implementer, then review its diff and land it yourself.

MITAuto-check passedDevelopment

Install Codex Delegate

skills CLI
$ npx skills add amElnagdy/delegate-skills --skill codex-delegate -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install amElnagdy/delegate-skills codex-delegate --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/amElnagdy/delegate-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/codex-delegate .claude/skills/codex-delegate && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
codex-delegate
GitHub stars
2.3k
Used in
3 other repos
Token cost
~2.5k tokens
SKILL.md length
1,243 words
Files
6 (incl. scripts, references)
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

Delegate a coding task to the OpenAI Codex CLI as a background implementer, then review its diff and land it yourself.

  • Works in 5 steps: Write the brief → Dispatch → Wait for completion → …
  • Wants to hand implementation work to Codex — phrasings like have Codex do X
  • SKILL.md covers When NOT to use this, Prerequisites (check once), The loop and Read-only second opinions, plus 3 more sections
  • Runs JavaScript scripts from its folder; calls codex, node and npm

What it does

Codex Delegate is an agent skill from amElnagdy/delegate-skills. Delegate a coding task to the OpenAI Codex CLI as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Codex — phrasings like "have Codex do X", "delegate this to Codex", "run it through Codex", or "use Codex to implement/fix/refactor" — or to run a queue of coding tasks through Codex while staying the reviewer. Prefer it over a one-shot Codex forwarder (such as the codex-rescue agent) when the user will review the diff and commit it…

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/dispatch-and-poll.md`, `references/multi-task-queues.md` and `references/review-and-land.md`). Compatibility notes: Requires the codex CLI (OpenAI Codex) installed and authenticated, Node 18+, and git. The orchestrating agent must be able to run shell commands and read…

It sits in Development, covering Code review. The repository describes itself as: Delegate a coding task to a separate coding agent CLI, review the diff, land the commit yourself — one per implementer. The licence is MIT.

When your agent uses it

  • Wants to hand implementation work to Codex — phrasings like have Codex do X
  • Delegate this to Codex
  • Run it through Codex
  • Use Codex to implement/fix/refactor —

Example prompts

  • “have Codex do X”
  • “delegate this to Codex”
  • “run it through Codex”
  • “/codex-delegate”

Requirements

  • Node.js
  • Compatibility (from SKILL.md): Requires the `codex` CLI (OpenAI Codex) installed and authenticated, Node 18+, and git. The orchestrating agent must be able to run shell commands and read files. Shell examples assume bash/zsh (macOS/Linux, or Git Bash/WSL on Windows).

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Write the brief
  2. Dispatch
  3. Wait for completion
  4. Review — do not trust the self-report
  5. Land it

What it can do on your machine

Read from SKILL.md and the folder at commit 8ef0210. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (JavaScript), which the agent can run.

    Shell commands in SKILL.md call:

    • codex
    • node
    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires the `codex` CLI (OpenAI Codex) installed and authenticated, Node 18+, and git. The orchestrating agent must be able to run shell commands and read files. Shell examples assume bash/zsh (macOS/Linux, or Git Bash/WSL on Windows).

    From compatibility in the SKILL.md frontmatter.

Context cost

Codex Delegate loads about 2.5k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 165 tokens; SKILL.md has 1,243 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~165
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~10k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from amElnagdy/delegate-skills at commit 8ef0210, republished under its MIT licence (© amElnagdy). 1,243 words, ~2,534 tokens.

Download SKILL.mdSave it as .claude/skills/codex-delegate/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
codex-delegate
description
Delegate a coding task to the OpenAI Codex CLI as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Codex — phrasings like "have Codex do X", "delegate this to Codex", "run it through Codex", or "use Codex to implement/fix/refactor" — or to run a queue of coding tasks through Codex while staying the reviewer. Prefer it over a one-shot Codex forwarder (such as the codex-rescue agent) when the user will review the diff and commit it themselves. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.
compatibility
Requires the `codex` CLI (OpenAI Codex) installed and authenticated, Node 18+, and git. The orchestrating agent must be able to run shell commands and read files. Shell examples assume bash/zsh (macOS/Linux, or Git Bash/WSL on Windows).
license
MIT
metadata.version
0.5.0

Codex Delegate

You are the orchestrator. This skill lets you hand a bounded coding task to a separate implementer — the OpenAI Codex CLI — then review what it produced and land it yourself. You write the brief and own the judgment; Codex does the typing in its own sandbox; you verify and commit.

Nothing here is specific to one orchestrating agent. The loop needs only the ability to run a shell command and read a file, so it works the same whether you are Claude Code, OpenCode with a selected model, or any comparable agent. (It is designed for and run on Claude Code; treat other orchestrators as designed-for, not yet proven.)

When NOT to use this

  • The task is small enough to just do inline — delegation overhead is not worth it.
  • The codex CLI is not installed or not authenticated (run codex login).
  • You want to write the code yourself, or you only need a review (use Codex's own review command).

Prerequisites (check once)

  1. codex --version succeeds. If not, install (npm i -g @openai/codex) and codex login.
  2. Confirm which codex is on PATH. Multiple installs are common (e.g. a current npm/nvm copy and a stale Homebrew one). command -v codex shows the active one and codex --version its version — an old binary predates flags this skill relies on (codex exec --json, -o, exec resume). The relay also records the version it ran into result.json, so a stale binary is visible after the fact.
  3. You are in (or will point --cd at) the target git repository.

The loop

Run these five steps per task. Steps 1, 4, and 5 are your judgment; 2 and 3 are mechanical.

1. Write the brief

Codex sees only the text you send — no repo memory, no chat history, no shared context. Everything the task needs goes in the brief: the goal, the current state, what to change, what to leave untouched, the project's actual gate commands (discover them from the repo's CLAUDE.md/AGENTS.md/Makefile — do not assume), and a report contract. Tell Codex it will not commit (you will). Keep one task per brief. Full guidance and a template: references/writing-the-brief.md.

2. Dispatch

Send the brief to Codex with the bundled helper. It wraps codex exec, captures the run, and writes a structured result.json — so your only job is "run a command, read a file." (<skill-dir> below is this skill's installed directory — the folder containing this SKILL.md, i.e. the directory you loaded the skill from. Claude Code prints it as "Base directory for this skill" when the skill loads; on other orchestrators use that same directory — if unsure where it landed, run find ~ -name relay.mjs -path '*codex-delegate*' and substitute the directory above it.)

bash
node "<skill-dir>/scripts/relay.mjs" --brief brief.txt --cd /path/to/repo
# read-only (review/diagnosis, no edits):   add --read-only
# isolated review (skip ambient MCP/user config): add --ignore-user-config
# continue the exact Codex session:         add --session <threadId>  (from result.json; send only the delta brief)
# fallback when no thread id is available:  add --resume-last
# hard time limit (watchdog):               add --timeout 2h  (default: off; implementation runs routinely need 1-2h)
# see all options:                          node .../relay.mjs --help

The helper defaults to a write-capable (workspace-write) sandbox and writes its artifacts to a temp dir, so the repo under review stays clean. It never commits — see step 5. Mechanics, flags, and the result.json shape: references/dispatch-and-poll.md.

3. Wait for completion

The helper blocks until Codex finishes, so back it with whatever your orchestrator offers and resume when it returns:

  • Claude Code: run the Bash call with run_in_background: true; you are notified on completion.
  • Plain shell / other agents: run it in the foreground for short tasks, or background it and poll the result file — … & in bash/zsh (including Git Bash/WSL), or your shell's equivalent (Start-Job in PowerShell, start /b in cmd). The run is done when result.json exists with a status. (A pre-run usage error — bad args or an empty brief — instead exits with code 2 and a stderr message and writes no result file, so check the exit code too. A missing codex binary exits 127 but does write a result.json with status codex_unavailable.)

Do not trust progress trackers over reality: a run is finished when result.json is written and the process has exited. Read the working tree, not a status line. The implementer's full report is the finalMessage field in result.json (also printed in full on stdout between the report markers).

4. Review — do not trust the self-report

Codex's result.json includes its own summary and gate claims. Re-verify, don't accept:

  • Re-run the project's gates yourself (the test/lint/build commands from step 1). Never take "gates passed" on faith.
  • Read the diff against the brief: did Codex do what was asked, nothing more (scope creep) and nothing less? touchedFiles in the result is your starting point.
  • Run the relevant guard skills on the diff if you have them installed (clean-code-guard, test-guard, etc. from guard-skills) — this skill produces the work; those skills judge it.
  • For schema/migration changes, round-trip them; for removals, grep for dangling references.

Full checklist: references/review-and-land.md.

Show full SKILL.md (480 more words)Show less
5. Land it

Because Codex's sandbox cannot reliably write .git (it varies by version, OS, and path), the orchestrator commits. Only after the gates pass and the diff holds:

  • Commit the verified work yourself, with a clear message.
  • If it needs changes, send a delta brief with --session <threadId> from the prior result.json (use --resume-last only when no thread id is available), and review again.

Read-only second opinions

The relay doubles as a clean way to get an adversarial second opinion with no write risk: dispatch --read-only with a brief that lists the agreed points, then each contested point with both positions, and ask Codex to defend or concede each — deliverable in its final message, touching no files. Any delegation skill whose implementer offers a read-only mode supports the same use, but check how hard that mode's guarantee is first: Codex's sandbox enforces it, while Grok's is best-effort and only flagged after the fact (readOnlyViolation) — for those implementers, verify touchedFiles came back empty instead of assuming no edits.

Authorization model

Delegation is something the human opts into. Once they have ("run this queue", "proceed"), committing verified, gate-passing work is the agreed contract — that is the whole point. Two limits on that mandate: surface, don't absorb (report Codex's design decisions, defensible-but-unasked turns, and non-blocking nitpicks rather than silently keeping them) and stop for scope changes (if correct completion needs going beyond the brief, ask — don't expand the mandate yourself). The full treatment is in references/review-and-land.md.

If you have the openai-codex plugin

The official openai-codex Claude Code plugin is excellent and complementary — codex-delegate builds on the same codex CLI, it doesn't replace the plugin. They point in different directions:

  • The plugin's codex:codex-rescue agent is a forwarder: it hands one task to Codex and returns the output. It deliberately does not poll, review, or commit.
  • The plugin's review command and stop-review gate run the inverse direction: Codex reviews your work.
  • codex-delegate is the orchestration loop in the other direction: you drive Codex to implement across one task or a queue, and you review and land each result. That loop — brief → dispatch → poll → review → commit, with the orchestrator owning the commit — is what the plugin leaves to you, and what this skill encodes.

If you have the plugin installed, its companion CLI is an optional alternative dispatch backend; the bundled relay.mjs is the default because it adds no install of its own beyond the codex binary (Node and git, which the relay also needs, are prerequisites for every skill here).

References

© amElnagdy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/codex-delegate of amElnagdy/delegate-skills.

  • SKILL.md
  • references/dispatch-and-poll.md
  • references/multi-task-queues.md
  • references/review-and-land.md
  • references/writing-the-brief.md
  • scripts/relay.mjs

Open the folder on GitHubat commit 8ef0210

Used in 3 other repositories

We found 7 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in amElnagdy/delegate-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Codex Delegate compared with similar skills
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Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Backend Code Reviewlangflow-ai/langflow156k—~3.5kAutomated safety check: NotesMIT
Understand Diff AnalysisEgonex-AI/Understand-Anything86k1 repos~1.4kAutomated safety check: PassMIT
Mole Bug Patternstw93/Mole70k—~2kAutomated safety check: PassGPL-3.0

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Categories

Questions about Codex Delegate

What does Codex Delegate do?

Delegate a coding task to the OpenAI Codex CLI as a background implementer, then review its diff and land it yourself. Codex Delegate is an agent skill from amElnagdy/delegate-skills. Delegate a coding task to the OpenAI Codex CLI as a background implementer, then review its diff and land it yourself.

When should I use Codex Delegate?

Codex Delegate fits situations like: wants to hand implementation work to Codex — phrasings like have Codex do X; delegate this to Codex; run it through Codex; use Codex to implement/fix/refactor —.

How do I install Codex Delegate in Claude Code?

Run `npx skills add amElnagdy/delegate-skills --skill codex-delegate -a claude-code`. Or copy the skill folder (skills/codex-delegate in amElnagdy/delegate-skills) into .claude/skills/codex-delegate in your project. Claude Code loads it when a task matches its description.

How do I install Codex Delegate in Codex?

Run `npx skills add amElnagdy/delegate-skills --skill codex-delegate -a codex`. Or copy the skill folder (skills/codex-delegate in amElnagdy/delegate-skills) into .agents/skills/codex-delegate in your project. Codex loads it when a task matches its description.

Can I use Codex Delegate in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add amElnagdy/delegate-skills --skill codex-delegate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/codex-delegate, .gemini/skills/codex-delegate, .github/skills/codex-delegate and .opencode/skills/codex-delegate in your project.

What does Codex Delegate need to run?

Going by SKILL.md and its folder, Codex Delegate needs JavaScript for the scripts in its folder and the command-line tools its instructions call (codex, node and npm). Our summary lists: Node.js. Compatibility (from SKILL.md): Requires the `codex` CLI (OpenAI Codex) installed and authenticated, Node 18+, and git. The orchestrating agent must be able to run shell commands and read files. Shell examples assume bash/zsh (macOS/Linux, or Git Bash/WSL on Windows)..

Does Codex Delegate access the network?

SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Codex Delegate safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Codex Delegate use?

Codex Delegate is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Codex Delegate use?

About 2.5k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.6k tokens, read only when the agent opens those files.

What are the alternatives to Codex Delegate?

Skills that share tags, products or a category with Codex Delegate: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Backend Code Review (langflow-ai/langflow, 156k stars) and Understand Diff Analysis (Egonex-AI/Understand-Anything, 86k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Codex Delegate?

amElnagdy (a GitHub user) maintains it in amElnagdy/delegate-skills, which has 2,328 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 7, 2026.

Source: amElnagdy/delegate-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.