A way to delegate coding work to the OpenAI Codex command-line program, an AI tool that works inside a software project. It requires Codex, authentication, and a Git repository.

Use it for building features, refactoring code, reviewing pull requests, fixing batches of issues, or creating small projects from a single instruction.

It lets the coding agent hand off larger implementation tasks while keeping the work in the project's existing files and version-control workflow.

codex — Skill for Claude Code and Codex by StarryCod/cogitum

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.

Any agent

npx skills add StarryCod/cogitum --skill codex

Clone the repo

git clone --depth 1 https://github.com/StarryCod/cogitum

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/starrycod/cogitum/codex/github.svg)](https://agentmods.dev/skills/starrycod/cogitum/codex)

Your own site

<a href="https://agentmods.dev/skills/starrycod/cogitum/codex"><img src="https://agentmods.dev/badge/skills/starrycod/cogitum/codex/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/starrycod/cogitum/codex"><img src="https://agentmods.dev/badge/skills/starrycod/cogitum/codex.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,239 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00017	$0.01239
Opus 5.5	$0.00007	$0.00496
Sonnet 5.5	$0.00003	$0.00248
Haiku 4.5	$0.00002	$0.00124

Measured 1mo ago against content hash 9c99725b6958, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codex 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 1mo 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.

cogitum/data/skills/autonomous-ai-agents/codex/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codex CLI

Delegate coding tasks to Codex via the Cogitum terminal. Codex is OpenAI's autonomous coding agent CLI.

When to use

Building features
Refactoring
PR reviews
Batch issue fixing

Requires the codex CLI and a git repository.

Prerequisites

Codex installed: npm install -g @openai/codex
OpenAI auth configured: either OPENAI_API_KEY or Codex OAuth credentials from the Codex CLI login flow
Must run inside a git repository — Codex refuses to run outside one
Use pty=true in terminal calls — Codex is an interactive terminal app

For Cogitum itself, model.provider: openai-codex uses Hermes-managed Codex OAuth from ~/.config/cogitum/auth.json after cog auth add openai-codex. For the standalone Codex CLI, a valid CLI OAuth session may live under ~/.codex/auth.json; do not treat a missing OPENAI_API_KEY alone as proof that Codex auth is missing.

One-Shot Tasks

terminal(command="codex exec 'Add dark mode toggle to settings'", workdir="~/project", pty=true)

For scratch work (Codex needs a git repo):

terminal(command="cd $(mktemp -d) && git init && codex exec 'Build a snake game in Python'", pty=true)

Background Mode (Long Tasks)

# Start in background with PTY
terminal(command="codex exec --full-auto 'Refactor the auth module'", workdir="~/project", background=true, pty=true)
# Returns session_id

# Monitor progress
process(action="poll", session_id="<id>")
process(action="log", session_id="<id>")

# Send input if Codex asks a question
process(action="submit", session_id="<id>", data="yes")

# Kill if needed
process(action="kill", session_id="<id>")

Key Flags

Flag	Effect
`exec "prompt"`	One-shot execution, exits when done
`--full-auto`	Sandboxed but auto-approves file changes in workspace
`--yolo`	No sandbox, no approvals (fastest, most dangerous)

PR Reviews

Clone to a temp directory for safe review:

terminal(command="REVIEW=$(mktemp -d) && git clone https://github.com/user/repo.git $REVIEW && cd $REVIEW && gh pr checkout 42 && codex review --base origin/main", pty=true)

Read the full file on GitHub · 131 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.

1mo ago First seen · 131 lines · 17 tokens per session scan A 9c99725b6958

Subscribe to this mod's changes

codex is a skill published in the GitHub repository StarryCod/cogitum (12 stars, last pushed 4mo ago), licensed MIT. It adds 17 tokens to every session and 1,239 once invoked, about $0.0001 per session on Opus 5.5. 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.

Building agents LLM agent agentic ai anthropic cli

pypi-release

This skill should be used when releasing tunacode-cli to PyPI. It keeps the existing local release checks, then hands the actual PyPI upload to a GitHub Actions workflow that uses the repository's PYPIAPITOKEN secret.

alchemiststudiosDOTai/tunacode · 52 tokens

audit-harness

Use when auditing HARNESS.md, pre-commit hooks, pre-push hooks, architecture gates, or CI workflows for tunacode-cli. This skill treats any mismatch, skipped gate, or failing check as a critical failure and requires manual one-by-one execution rather than make targets, batch wrappers, or summary-only audits.

alchemiststudiosDOTai/tunacode · 69 tokens

codex