codex-skill

codex-skill is a skill for Claude Code, Codex from feiskyer/openclaw-kubernetes. It costs 55 tokens per session (5,137 once invoked), scanned A, original, MIT.

A workflow for running Codex, an AI coding agent, from the command line to carry out coding tasks automatically.

In plain words
What is it for?
Use it to run one-off coding prompts, select a project directory, control whether files may be changed, choose reasoning settings, and save structured output or results to a file.
Why use it?
It removes the need to guide every step interactively when you want Codex to work through a defined task in a chosen project folder.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/feiskyer/openclaw-kubernetes/codex-skill
Any agent
npx skills add feiskyer/openclaw-kubernetes --skill codex-skill
Clone the repo
git clone --depth 1 https://github.com/feiskyer/openclaw-kubernetes

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for codex-skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/feiskyer/openclaw-kubernetes/codex-skill.svg)](https://agentmods.dev/skills/feiskyer/openclaw-kubernetes/codex-skill)
Your own site
<a href="https://agentmods.dev/skills/feiskyer/openclaw-kubernetes/codex-skill"><img src="https://agentmods.dev/badge/skills/feiskyer/openclaw-kubernetes/codex-skill.svg" alt="Measured on agentmods" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,137 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00055 $0.05137
Opus 5 $0.00028 $0.02568
Sonnet 5 $0.00011 $0.01027
Haiku 4.5 $0.00006 $0.00514

Measured 5d ago against content hash 3bf251a27a7a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codex-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/codex-skill/SKILL.md · 507 lines

How it starts

The opening of the file, as written. The whole thing — 507 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codex Agent Skill

Operate Codex CLI as a managed coding agent — from worktree setup through PR merge.

Prerequisites

codex --version  # Verify installed
# Install: npm i -g @openai/codex  or  brew install codex
tmux -V          # tmux required for full workflow

CLI Quick Reference

Flag Effect
exec "prompt" Non-interactive one-shot, exits when done
--full-auto Alias for -s workspace-write (auto-approve file edits)
-s workspace-write Read + write files in workspace
-s read-only Analysis only, no modifications (default for exec)
-s danger-full-access Full access including network and system
--dangerously-bypass-approvals-and-sandbox Skip all prompts + no sandbox (safe in containers/VMs)
-m <model> Model selection — only use when user explicitly requests a model (e.g. gpt-5.1-codex-max). Omit to use Codex default.
-c "model_reasoning_effort=high" Reasoning effort: low, medium, high
--json Structured JSON Lines output
-o <file> Write final output to file
-C <dir> / --cd <dir> Set working directory
--add-dir <dir> Allow writing to additional directories
--skip-git-repo-check Run in non-git directories
resume --last Resume last session with new prompt

Execution Modes

Quick Mode — Small Tasks

For trivial fixes, one-file changes, or analysis. Use exec (non-interactive):

# Via OpenClaw exec — use background=true + pty=true, NO hard timeout
# pty=true ensures codex CLI flushes output properly (no buffering issues)
# (hard timeout kills the process; instead we poll and extend)
exec(command="codex exec --full-auto 'fix the typo in README.md'",
     workdir="/path/to/project", background=true, pty=true)

# With high reasoning
exec(command="codex exec -c 'model_reasoning_effort=high' --full-auto 'fix the auth bug'",
     workdir="/path/to/project", background=true, pty=true)

Read the full file on GitHub · 507 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 507 lines · 55 tokens per session scan A 3bf251a27a7a

Subscribe to this mod's changes

codex-skill is a skill published in the GitHub repository feiskyer/openclaw-kubernetes (23 stars, last pushed 2mo ago), licensed MIT. It adds 55 tokens to every session and 5,137 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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