codex-image

codex-image is a skill for Claude Code, Codex from OpenMinis/MinisSkills. It costs 89 tokens per session (1,086 once invoked), scanned B, original, MIT.

A skill for generating or editing images through OpenAI’s Codex image service, using text prompts or reference images.

In plain words
What is it for?
It helps turn descriptions into image files and modify existing images, with options for choosing an output path, model, and effort level.
Why use it?
It provides a defined way to create images without manually handling the service’s login token and image-generation requests.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit It helps turn descriptions into image files and modify existing images, with options for choosing an output path, model, and effort level.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openminis/minisskills/codex-image
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 OpenMinis/MinisSkills --skill codex-image
Clone the repo
git clone --depth 1 https://github.com/OpenMinis/MinisSkills

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-image

README.md
[![agentmods](https://agentmods.dev/badge/skills/openminis/minisskills/codex-image/github.svg)](https://agentmods.dev/skills/openminis/minisskills/codex-image)
Your own site
<a href="https://agentmods.dev/skills/openminis/minisskills/codex-image"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/codex-image/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.

agentmods 80×15 button for codex-image

Your own site · 80×15
<a href="https://agentmods.dev/skills/openminis/minisskills/codex-image"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/codex-image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,086 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 59
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Privilege Escalation · line 24
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 86
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 72
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
How audits are shown
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 5.1 $0.00089 $0.01086
Opus 5.5 $0.00036 $0.00434
Sonnet 5.5 $0.00018 $0.00217
Haiku 4.5 $0.00009 $0.00109

Measured 1mo ago against content hash 2ffe4029bb45, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

codex-image scanned grade B with 1 finding 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.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/codex_image_edit.py, scripts/codex_image.py, scripts/get_auth.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- On success → saves token to `~/.chatgpt_auth.json` (chmod 600, token + timestamp only)
codex-image/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codex Image Generation

Generate images via chatgpt.com/backend-api/codex/responses using the image_generation tool (gpt-image-2).

Requirements

  • A ChatGPT account (token is fetched automatically via browser session)
  • No manual token setup needed — the skill handles auth automatically

Auth Token Resolution (in order)

  1. --token argument (CLI only)
  2. CODEX_IMAGE_TOKEN environment variable
  3. --token-file argument (CLI only)
  4. ~/.chatgpt_auth.json cache (valid for 8 hours)
  5. Auto login flow — fetches from https://chatgpt.com/api/auth/session via minis-browser-use:
    • If already logged in → token extracted and saved to cache immediately
    • If not logged in → opens chatgpt.com/auth/login in the browser, then polls every 10s in a new tab for up to 5 minutes
    • On success → saves token to ~/.chatgpt_auth.json (chmod 600, token + timestamp only)
    • Token is never printed to stdout or logs — it stays in the cache file only

Usage

Text-to-image

python3 scripts/codex_image.py "a cute rabbit on a light background" \
  --output rabbit.png \
  --model gpt-5.4 \
  --effort low

Image-to-image / reference image

python3 scripts/codex_image_edit.py "turn this person into a cinematic iOS AI assistant portrait" \
  --image reference.jpg \
  --output portrait.png \
  --model gpt-5.4 \
  --effort low

codex_image_edit.py encodes the local reference image as a base64 data URL and sends it as multimodal input (input_text + input_image) to the same Codex responses endpoint, then asks the image_generation tool to create a new image from the reference.

Parameters

Parameter Default Description
prompt (required) Image description or edit instruction
--image (edit only, required) Local reference image path for image-to-image generation
--output codex_image.png / codex_image_edit.png Output file path
--model gpt-5.4 Codex model
--effort low Reasoning effort: low/medium/high
--token - Access token directly (skips auto auth; text-to-image script only)
--token-file - File containing token (skips auto auth; text-to-image script only)

Read the full file on GitHub · 93 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 93 lines · 89 tokens per session scan B 2ffe4029bb45

Subscribe to this mod's changes

codex-image is a skill published in the GitHub repository OpenMinis/MinisSkills (502 stars, last pushed 2d ago), licensed MIT. It adds 89 tokens to every session and 1,086 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…

vercel/next.js · 123 tokens