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.
npx skills add JunSeo99/claude-skill-codex-imagegen --skill skillgit clone --depth 1 https://github.com/JunSeo99/claude-skill-codex-imagegenWrote 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.
[](https://agentmods.dev/skills/junseo99/claude-skill-codex-imagegen/skill)<a href="https://agentmods.dev/skills/junseo99/claude-skill-codex-imagegen/skill"><img src="https://agentmods.dev/badge/skills/junseo99/claude-skill-codex-imagegen/skill/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.
<a href="https://agentmods.dev/skills/junseo99/claude-skill-codex-imagegen/skill"><img src="https://agentmods.dev/badge/skills/junseo99/claude-skill-codex-imagegen/skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00088 | $0.01191 |
| Opus 5.5 | $0.00035 | $0.00476 |
| Sonnet 5.5 | $0.00018 | $0.00238 |
| Haiku 4.5 | $0.00009 | $0.00119 |
Grade A, and why
codex-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.
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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex Imagegen
Claude directs and reviews; Codex only generates. Use the user's Codex subscription;
never use a separately billed image API. Requires Python 3.9+, macOS/Linux, and
logged-in Codex CLI 0.153.4+ (codex login). Resolve <SKILL_DIR> from this file.
Route by intent
| Request | Action | Read only if needed |
|---|---|---|
| Clear request / “just make it” | Generate one image immediately | No extra reference |
| Unclear direction / “interview me” | Ask 1–3 consequential questions together | interview.md |
| “Options”, “시안”, multiple directions | Default to 3 distinct candidates if count is unspecified | directions.md |
| Change an existing image | Inspect it, state change + preserve list, attach it | editing.md |
| Exact text, photography, complex composition | Add only the relevant craft details | prompting-guide.md |
| Model question or execution failure | Explain verified capability or fix the failure | cli-reference.md |
Do not load every reference, repository documentation, or launcher source. Reuse
answers and relevant project style facts already in context. Read DESIGN.md only
when matching this project's style. Do not run Codex to interview, plan, or judge.
Make the brief
Use the user's language. Specify intended use, subject, medium, framing, light, palette, and constraints only where they affect this image. Preserve detailed user direction; omit irrelevant fields. Aim for 80–180 words for a normal image, shorter for a local edit; exact copy and necessary preservation rules take priority.
$imagegen
Asset: website hero, landscape 16:9, one image
Request: a handmade terracotta cup on pale limestone
Look: editorial product photograph; soft window light from the left;
matte glaze, natural surface imperfections; warm ivory and rust palette
Composition: cup in the right third; quiet empty left half for page copy
Constraints: no text, watermark, border, or extra objects
What ships with it
8 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.
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 · -139 lines · -68 tokens per session scan B → A 7a9d39131390
- 1mo ago Changed · +21 lines 7d2f98d346e4
- 1mo ago First seen · 212 lines · 156 tokens per session scan B 76f50cef9dc5
codex-imagegen is a skill published in the GitHub repository JunSeo99/claude-skill-codex-imagegen (15 stars, last pushed 1mo ago), licensed MIT. It adds 88 tokens to every session and 1,191 once invoked, about $0.0004 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.
Other skills, from other repositories
illo
Creates original editorial illustrations where a recurring mascot character performs the idea — one caught scene by default, a hand-built explainer diagram (labeled stages, a fan-out, timeline, loop, or stack) when the structure itself is the point, or a transparent character cutout (pose-only compositing asset, no…
vision-review
A tool for reading images and checking screenshots, including text, layout, visual defects, watermarks, and logos.
media-tools
A guide and script for generating images, illustrations, avatars, backgrounds, and banners through configured image-generation services. It uses available API keys from environment or local secret files.
local-image-gen
A local command-line tool for generating or editing images with Codex, Grok, or Gemini/Antigravity accounts and optional API keys.
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.
logo-company
A lookup tool for official brand and company logos in SVG format. SVG is an image format that stays sharp when resized and can often change color through code.