What is openai-image-gen?

A script for generating groups of images through the OpenAI Images API and opening them in a simple gallery.

Use it to generate images from prompts, create batches with sampled prompts, choose output settings, and view the results in an HTML gallery.

It saves you from preparing repeated image-generation requests and collecting the resulting files by hand.

openai-image-gen — Skill for Claude Code and Codex by JansenAnalytics

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/JansenAnalytics/claudex

agentmods

npx agentmods add skills/jansenanalytics/claudex/openai-image-gen

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/jansenanalytics/claudex/openai-image-gen.svg)](https://agentmods.dev/skills/jansenanalytics/claudex/openai-image-gen)

Your own site

<a href="https://agentmods.dev/skills/jansenanalytics/claudex/openai-image-gen"><img src="https://agentmods.dev/badge/skills/jansenanalytics/claudex/openai-image-gen.svg" alt="Measured on agentmods" height="20"></a>

Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 934 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 88% copy Near-identical to another mod 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	$0.00025	$0.00934
Opus 5	$0.00013	$0.00467
Sonnet 5	$0.00005	$0.00187
Haiku 4.5	$0.00003	$0.00093

Measured 3d ago against content hash d8d16f810e51, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

openai-image-gen 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 3d 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.

Origin

This is a copy

88% identical to openai-image-gen — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/openai-image-gen/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.

OpenAI Image Gen

Generate a handful of “random but structured” prompts and render them via the OpenAI Images API.

Run

python3 {baseDir}/scripts/gen.py
open ~/Projects/tmp/openai-image-gen-*/index.html  # if ~/Projects/tmp exists; else ./tmp/...

Useful flags:

# GPT image models with various options
python3 {baseDir}/scripts/gen.py --count 16 --model gpt-image-1
python3 {baseDir}/scripts/gen.py --prompt "ultra-detailed studio photo of a lobster astronaut" --count 4
python3 {baseDir}/scripts/gen.py --size 1536x1024 --quality high --out-dir ./out/images
python3 {baseDir}/scripts/gen.py --model gpt-image-1.5 --background transparent --output-format webp

# DALL-E 3 (note: count is automatically limited to 1)
python3 {baseDir}/scripts/gen.py --model dall-e-3 --quality hd --size 1792x1024 --style vivid
python3 {baseDir}/scripts/gen.py --model dall-e-3 --style natural --prompt "serene mountain landscape"

# DALL-E 2
python3 {baseDir}/scripts/gen.py --model dall-e-2 --size 512x512 --count 4

Model-Specific Parameters

Different models support different parameter values. The script automatically selects appropriate defaults based on the model.

Size

GPT image models (gpt-image-1, gpt-image-1-mini, gpt-image-1.5): 1024x1024, 1536x1024 (landscape), 1024x1536 (portrait), or auto
- Default: 1024x1024
dall-e-3: 1024x1024, 1792x1024, or 1024x1792
- Default: 1024x1024
dall-e-2: 256x256, 512x512, or 1024x1024
- Default: 1024x1024

Quality

GPT image models: auto, high, medium, or low
- Default: high
dall-e-3: hd or standard
- Default: standard
dall-e-2: standard only
- Default: standard

Other Notable Differences

dall-e-3 only supports generating 1 image at a time (n=1). The script automatically limits count to 1 when using this model.
GPT image models support additional parameters:
- --background: transparent, opaque, or auto (default)
- --output-format: png (default), jpeg, or webp
- Note: stream and moderation are available via API but not yet implemented in this script
dall-e-3 has a --style parameter: vivid (hyper-real, dramatic) or natural (more natural looking)

Read the full file on GitHub · 93 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.

3d ago First seen · 93 lines · 25 tokens per session scan A d8d16f810e51

Subscribe to this mod's changes

openai-image-gen is a skill published in the GitHub repository JansenAnalytics/claudex (5 stars, last pushed 2mo ago), licensed MIT. It adds 25 tokens to every session and 934 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to openai-image-gen, differing in 7 lines, and is treated as a copy.

Creative and media dall-e gallery gpt-image image-generation media openai

codex-image

An image-generation skill that uses the Codex subscription to create images from text and up to five reference images. It does not require an OpenAI API key or separate per-image billing.

qwwiwi/codex-gpt-image-2-subscription · 110 tokens

ima2

Use the ima2-gen CLI/server to generate, edit, inspect, and manage local AI image generation jobs.

lidge-jun/ima2-gen · 25 tokens

atlas-cloud-media

Generate Atlas Cloud images and videos through its asynchronous media API with schema-first model selection and credential-safe polling.

sickn33/agentic-awesome-skills · 25 tokens

replicate-images

Use when generating or editing images through the Replicate API, or when a modern image model keeps ignoring the prompt — choosing aspect ratio, resolution, seed and output format, image-to-image, multi-reference composition, text-driven inpainting, readable text inside a generated image, and structuring prompts per…

ericrisco/rsc-harness · 84 tokens

crossgen-artist

Use CrossGen to plan and execute image generation, editing, inpainting, model selection, media-aware job monitoring, Gallery inspection, and asset export through MCP or its JSON CLI.

Bliveren/CrossGen · 41 tokens

image-generation

Generate or edit images via Codex CLI — with prompt refinement, vision validation, retry loop, and error handling.

mathiasbourgoin/roster · 26 tokens