A tool for generating new images or changing existing ones, such as removing backgrounds, editing selected areas, making product pictures, or creating artwork and mockups. It uses the OpenAI Image API through a bundled command-line script.

Use it to generate website and game assets, product shots, covers, logos, infographics, wireframes, and image variants, or to retouch and replace parts of an existing image.

It gives a repeatable way to create or modify bitmap images from prompts instead of doing each edit manually. It also supports supplying exact text, constraints, and reference images for controlled results.

imagegen — Skill for Codex by seaworld008

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 seaworld008/Commonly-used-high-value-skills --skill imagegen

Clone the repo

git clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-skills

Made for: 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/seaworld008/commonly-used-high-value-skills/imagegen/github.svg)](https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/imagegen)

Your own site

<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/imagegen"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/imagegen/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/seaworld008/commonly-used-high-value-skills/imagegen"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/imagegen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,250 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 95% 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	$0.00031	$0.02250
Opus 5.5	$0.00012	$0.00900
Sonnet 5.5	$0.00006	$0.00450
Haiku 4.5	$0.00003	$0.00225

Measured 1mo ago against content hash c04737fc1cb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

imagegen 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/image_gen.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.

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

95% identical to imagegen — 15 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.

openclaw-skills/imagegen/SKILL.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Image Generation Skill

Generates or edits images for the current project (e.g., website assets, game assets, UI mockups, product mockups, wireframes, logo design, photorealistic images, infographics). Defaults to gpt-image-1.5 and the OpenAI Image API, and prefers the bundled CLI for deterministic, reproducible runs.

When to use

Generate a new image (concept art, product shot, cover, website hero)
Edit an existing image (inpainting, masked edits, lighting or weather transformations, background replacement, object removal, compositing, transparent background)
Batch runs (many prompts, or many variants across prompts)

Decision tree (generate vs edit vs batch)

If the user provides an input image (or says “edit/retouch/inpaint/mask/translate/localize/change only X”) → edit
Else if the user needs many different prompts/assets → generate-batch
Else → generate

Workflow

Decide intent: generate vs edit vs batch (see decision tree above).
Collect inputs up front: prompt(s), exact text (verbatim), constraints/avoid list, and any input image(s)/mask(s). For multi-image edits, label each input by index and role; for edits, list invariants explicitly.
If batch: write a temporary JSONL under tmp/ (one job per line), run once, then delete the JSONL.
Augment prompt into a short labeled spec (structure + constraints) without inventing new creative requirements.
Run the bundled CLI (scripts/image_gen.py) with sensible defaults (see references/cli.md).
For complex edits/generations, inspect outputs (open/view images) and validate: subject, style, composition, text accuracy, and invariants/avoid items.
Iterate: make a single targeted change (prompt or mask), re-run, re-check.
Save/return final outputs and note the final prompt + flags used.

Temp and output conventions

Use tmp/imagegen/ for intermediate files (for example JSONL batches); delete when done.
Write final artifacts under output/imagegen/ when working in this repo.
Use --out or --out-dir to control output paths; keep filenames stable and descriptive.

Read the full file on GitHub · 184 lines

Files

What ships with it

10 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.

1mo ago Changed · -43 tokens per session c04737fc1cb5
1mo ago First seen · 184 lines · 74 tokens per session scan A 72d1b419da85

Subscribe to this mod's changes

imagegen is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (73 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 2,250 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 95% identical to imagegen, differing in 15 lines, and is treated as a copy.

Claude Code Creative and media Design and UX agent ai ai-tools automation codex imagegen

imagegen

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

This is a copy

How it starts

Image Generation Skill

When to use

Decision tree (generate vs edit vs batch)

Workflow

Temp and output conventions

What ships with it

What this file has done since we first saw it

Other skills, from other repositories

omh-frontend

omh-visual-qa

omh-accessibility-audit

omh-design-quality-gate

omh-apple-design

omh-design-orchestration