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codex-cli-subagent

@timurkhakhalev/cc-plugins
8
0

Helps you to run a subagent using codex exec

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SKILL.md

name codex-cli-subagent
description Helps you to run a subagent using codex exec

This skill lets you spawn a nested Codex process (a “subagent”) using codex exec so it can work with the same project and AGENTS.md instructions.

filename="$(openssl rand -hex 4)"
codex exec "count the total number of lines of code in this project" 2>>/tmp/${filename}.log

In non-interactive mode, codex exec does not ask for command or edit approvals. By default it runs in read-only mode, so it cannot edit files or run commands that require network access.

When you use this skill, follow these logging rules:

  • Before running codex exec, generate a unique log file name with openssl rand -hex 4.
  • By default, append 2>>/tmp/${filename}.log to your codex exec command so only the subagent’s final message is visible to the caller, while stderr is captured for debugging.
  • If a run fails, behaves unexpectedly, or the user explicitly asks to see what the inner agent is doing, read the log file (for example: cat /tmp/${filename}.log).

Since the codex exec may run couple hours, set a generous timeout so long-running subagent work can complete:

  • Use a timeout of at least 20 minutes for the Run (or Bash) tool unless the user explicitly requests a shorter limit.

Use this skill when you want a focused helper agent (for refactors, audits, scripted operations, or scans) while keeping your main session and context intact.

Use codex exec --full-auto to allow file edits. Use codex exec --sandbox danger-full-access to allow edits and networked commands, but only when the user clearly permits this level of access.

Key Flags

  • --full-auto: Unattended operation with workspace-write sandbox
  • --dangerously-bypass-approvals-and-sandbox or --yolo: Complete hands-off mode (use carefully)
  • --cd <path>: Set working directory
  • --model <model> or -m: Specify model (e.g., -m gpt-5.1-codex-max)
  • --sandbox: Sandbox types:
    • read-only: No file edits, no networked commands
    • workspace-write: Can edit files in the workspace
    • danger-full-access: No sandboxing; full access (use with care)
  • --config: Pass config variables:
    • model_reasoning_effort: Model reasoning effort: low, medium, high;

Examples

# As a subagent, perform automated refactoring
filename="$(openssl rand -hex 4)"
codex exec --full-auto "Update all README links to HTTPS" 2>>/tmp/${filename}.log

# Run in a specific project directory
filename="$(openssl rand -hex 4)"
codex exec --cd /path/to/project "Fix failing tests" 2>>/tmp/${filename}.log

# Use AGENTS.md context for a focused refactor
filename="$(openssl rand -hex 4)"
codex exec --cd /path/to/project "Using this repo's AGENTS.md instructions, refactor the test helpers for clarity and consistency" 2>>/tmp/${filename}.log

filename="$(openssl rand -hex 4)"
codex exec --model gpt-5.1-codex-max --sandbox workspace-write --config model_reasoning_effort=medium < /tmp/some-big-prompt.md 2>>/tmp/${filename}.log

# For audits / deep analysis
filename="$(openssl rand -hex 4)"
codex exec --model gpt-5.2 --sandbox read-only --config model_reasoning_effort=high "Audit this repo for security issues" 2>>/tmp/${filename}.log

Input Methods

# Pipe prompt from file
filename="$(openssl rand -hex 4)"
codex exec - < prompt.txt 2>>/tmp/${filename}.log

# Standard input
filename="$(openssl rand -hex 4)"
echo "Review this code" | codex exec - 2>>/tmp/${filename}.log

When this skill is invoked, you should decide:

  • Whether a subagent is appropriate (e.g., long-running refactor, scan, or analysis).
  • Which flags, sandbox level, and model to use based on user intent and risk.
  • For code changes: default to --model gpt-5.1-codex-max --config model_reasoning_effort=medium unless the user explicitly requests otherwise.
  • For audits: default to --model gpt-5.2 --config model_reasoning_effort=high unless the user explicitly requests otherwise.
  • Whether to keep logs suppressed (default: 2>>/tmp/${filename}.log or read/tail /tmp/${filename}.log)