A Claude Code skill that asks the Codex command-line tool to create or edit bitmap images, such as PNG illustrations or photos. It saves the generated files in a project folder with unique names.

Use it when a project needs a new raster image or an edited one, including requested size, quality, output folder, or several variations.

It lets image generation happen through Codex without requiring the user to manage an OpenAI API key or copy third-party code into the project.

codex-image — Skill for Claude Code and Codex by YoungjaeDev

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 YoungjaeDev/my-claude-plugins --skill codex-image

Clone the repo

git clone --depth 1 https://github.com/YoungjaeDev/my-claude-plugins

Made for: Claude Code, Codex.

Or install codex-image, the plugin that ships this one along with the rest of its 1 skill.

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/youngjaedev/my-claude-plugins/codex-image/github.svg)](https://agentmods.dev/skills/youngjaedev/my-claude-plugins/codex-image)

Your own site

<a href="https://agentmods.dev/skills/youngjaedev/my-claude-plugins/codex-image"><img src="https://agentmods.dev/badge/skills/youngjaedev/my-claude-plugins/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/youngjaedev/my-claude-plugins/codex-image"><img src="https://agentmods.dev/badge/skills/youngjaedev/my-claude-plugins/codex-image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,193 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	$0.00110	$0.04193
Opus 5.5	$0.00044	$0.01677
Sonnet 5.5	$0.00022	$0.00839
Haiku 4.5	$0.00011	$0.00419

Measured today against content hash bc0a4e8b7ffb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

codex-image 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 today.

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.

plugins/codex-image/skills/codex-image/SKILL.md · 200 lines

How it starts

The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codex Image

Generate or edit raster images by asking Codex CLI to use its built-in image generation tool. This skill is a Claude Code bridge: do not call the OpenAI REST API, do not ask for an API key, and do not clone or run third-party skill code.

This bridge runs on Claude Code only. Inside Codex it would summon the host it is bridging to, and its confirmation gates have no tool to ask through; a Codex session uses the built-in imagegen skill directly instead.

Defaults

Generation needs explicit grounding: a direct user request, or a task spec that names codex-image as the image path. Without that grounding, or when scope/count is ambiguous, ask before generating, because image generation has cost and side effects.
Default output directory: assets/generated/codex-image/ under the project root.
Default size: auto. Default quality: auto. Default count: 1.
Keep generated filenames unique and non-destructive: codex-image-YYYYMMDD-HHMMSS[-N].png.
Every codex exec turn is ephemeral. Nothing from a previous turn — prompt, attachment, or output — exists in the next one unless it is passed again.

Argument Handling

Invocation arguments:

$ARGUMENTS

Parse the invocation arguments manually:

--size: auto or WIDTHxHEIGHT.
--quality: low, medium, high, or auto.
--out: output directory. Resolve relative paths from the project root.
-n: the same prompt rendered N times. Use 1 through 4 without extra confirmation; ask before generating more.
--variants: N materially different images from one brief. See Variants. Cap 4.
--verbatim: pass the prompt through to Codex untouched. See Prompt Quality.
--edit: local image path to use as the base to edit; the prompt describes the change. The output is always a new file in the output directory; the input is never overwritten.
--ref: local image path to attach as a style/character reference while generating an image whose subject/scene is otherwise new. --edit and --ref are mutually exclusive; if both are given, ask which one is meant.
--model: Codex model id, passed through as codex exec -m <id>. Omit to use Codex's own default model: that auto-tracks the latest model, so no model pin is maintained here. The value is passed through unvalidated against the built-in image tool, which does not document a model parameter — a model id meant for the API fallback may simply be ignored.
--reasoning: reasoning effort, passed through as -c model_reasoning_effort="<effort>". The accepted levels depend on the model and change with Codex releases; read them from codex debug models (the model's supported_reasoning_levels). Explicit opt-in only: image generation barely benefits from reasoning effort.
--sandbox: Codex sandbox mode: read-only, workspace-write (default), or danger-full-access. Escalate only on explicit request. Pass --dangerously-bypass-approvals-and-sandbox only when the user explicitly asks.
Remaining text is the image prompt. If it is missing, ask for one concise image prompt.

Read the full file on GitHub · 200 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.

today Changed bc0a4e8b7ffb
11d ago Changed 87c24c7c33c4
1mo ago Changed · +25 lines · +12 tokens per session 83213c34803f
1mo ago Changed 6e6bbbf548bd
1mo ago First seen · 175 lines · 98 tokens per session scan A 58a5c0aae4bb

Subscribe to this mod's changes

codex-image is a skill published in the GitHub repository YoungjaeDev/my-claude-plugins (2 stars, last pushed yesterday), licensed MIT. It adds 110 tokens to every session and 4,193 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 2026-08-31.

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