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codex-subagent

Launch OpenAI Codex CLI as a subagent (ChatGPT subscription auth, no API key). Use when delegating a self-contained coding task to Codex from another agent — parallel implementation work, a second opinion, or an independent verification pass.

Quelle prüfen Auf GitHub ansehen

Preis unbestätigt★ 3,828 GitHub-StarsVerzeichnis aktualisiert · 1. Sept. 2026agent-skill

Übersicht

Vollständige Dokumentation lesen

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Codex CLI as a Subagent

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=$(mktemp /tmp/codex-out.XXXXXX)
codex exec \
  --cd /path/to/repo \
  --model gpt-5.6-sol \
  --config model_reasoning_effort=high \
  --sandbox workspace-write \
  --output-last-message "$OUT" \
  "Full task prompt: goal, constraints, files to touch, definition of done." \
  </dev/null

Always use GPT 5.6 Sol (gpt-5.6-sol). Default reasoning effort to high. Pass both flags explicitly on every new Codex run.
Do NOT use Codex fast mode.
</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: --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 --model gpt-5.6-sol \
  --config model_reasoning_effort=high --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

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.

Quelle ansehen ↗

Dateimetadaten

name: codex-subagent
description: Launch OpenAI Codex CLI as a subagent (ChatGPT subscription auth, no API key). Use when delegating a self-contained coding task to Codex from another agent — parallel implementation work, a second opinion, or an independent verification pass.
disable-model-invocation: true

Originaltext anzeigen

---
name: codex-subagent
description: Launch OpenAI Codex CLI as a subagent (ChatGPT subscription auth, no API key). Use when delegating a self-contained coding task to Codex from another agent — parallel implementation work, a second opinion, or an independent verification pass.
disable-model-invocation: true
---

# Codex CLI as a Subagent

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

```bash
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

```bash
OUT=$(mktemp /tmp/codex-out.XXXXXX)
codex exec \
--cd /path/to/repo \
--model gpt-5.6-sol \
--config model_reasoning_effort=high \
--sandbox workspace-write \
--output-last-message "$OUT" \
"Full task prompt: goal, constraints, files to touch, definition of done." \
</dev/null
```

- Always use GPT 5.6 Sol (`gpt-5.6-sol`). Default reasoning effort to `high`.
Pass both flags explicitly on every new Codex run.
- Do NOT use Codex fast mode.
- `</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: `--json` for JSONL event stream.

## Collect results

```bash
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):

```bash
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:

```bash
git worktree add /tmp/wt-taskA -b codex/task-a
codex exec --cd /tmp/wt-taskA --model gpt-5.6-sol \
--config model_reasoning_effort=high --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

- 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.

Quelle prüfen

Preis und Betriebskosten

Skill beziehen: Preis unbestätigt
Ausführen: Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
Lizenz: MIT
Preis unbestätigt: Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.

Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →

Skill-Quelle erfasst

Ein Anleitungspfad ist erfasst. Das ist kein Ausführungstest und keine Sicherheits- oder Kompatibilitätsgarantie.

Vor Installation prüfen: Automatische Installation vermeiden

Lizenz: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Vollständiges Audit öffnen

Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.

Mit einer kleinen Aufgabe beginnen

1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.

Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.

Quelle und Nutzungshinweise

Erfasst

Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.

Quell-Repository: davidondrej/skills
Lizenz: MIT
Version: 1.0.0
Letzter GitHub-Push: 1. Sept. 2026
Verzeichnis aktualisiert: 1. Sept. 2026
Anleitungspfad: skills/agent-orchestration/codex-subagent/SKILL.md @ 5fcf5519ecae

Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.

Qualität

80/100

Stark

Vertrauen

68/100

Nur Sandbox

Audit

81/100

Prüfung nötig

Vollständiges Audit öffnen Eval-Bericht ansehen

Dependency or permission surface needs review
Permission surface may require sandboxing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution

Verified installs: —
Ergebnisse: —

Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.

Agent-Zugang

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Installations-API öffnen LLM-Textformat Manifest öffnen Auto-Auflösungsplan

Weitere Details

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    "audit": "https://www.openagentskill.com/skills/davidondrej-codex-subagent/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=davidondrej-codex-subagent&task=Use%20codex-subagent%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20codex-subagent%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20codex-subagent%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/davidondrej-codex-subagent/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/davidondrej-codex-subagent"
  }
}

Für Ersteller

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller: davidondrej
Quelle: davidondrej/skills
Indexiert von: OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

Diesen Skill beanspruchen

Eigentümeranspruch

Diesen Skill-Eintrag beanspruchen

Dieser Registry-indexiert-Eintrag wird davidondrej zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/davidondrej-codex-subagent?metric=listed&label=Listed)](https://www.openagentskill.com/skills/davidondrej-codex-subagent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/davidondrej-codex-subagent?metric=trust&label=Trust)](https://www.openagentskill.com/skills/davidondrej-codex-subagent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/davidondrej-codex-subagent?metric=audit&label=Audit)](https://www.openagentskill.com/skills/davidondrej-codex-subagent/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/davidondrej-codex-subagent?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/davidondrej-codex-subagent?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)

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