coart-image-gen

coart-image-gen is a skill for Claude Code, Codex from stevenke1981/coart. It costs 24 tokens per session (398 once invoked), scanned A, original, MIT.

An image-generation helper for Coart, a visual editing tool. It creates a bitmap image and places it into a selected AI-image holder or adds it as a new image.

In plain words
What is it for?
Use it to replace a selected AI image, fill an AI-image placeholder, or insert a newly generated image into a Coart project.
Why use it?
It avoids manually moving generated image files into the correct Coart project location while keeping an existing image's position and size.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to replace a selected AI image, fill an AI-image placeholder, or insert a newly generated image into a Coart project.

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Install with agentmods
npx agentmods add skills/stevenke1981/coart/coart-image-gen
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 stevenke1981/coart --skill coart-image-gen
Clone the repo
git clone --depth 1 https://github.com/stevenke1981/coart

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 coart-image-gen

README.md
[![agentmods](https://agentmods.dev/badge/skills/stevenke1981/coart/coart-image-gen/github.svg)](https://agentmods.dev/skills/stevenke1981/coart/coart-image-gen)
Your own site
<a href="https://agentmods.dev/skills/stevenke1981/coart/coart-image-gen"><img src="https://agentmods.dev/badge/skills/stevenke1981/coart/coart-image-gen/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 coart-image-gen

Your own site · 80×15
<a href="https://agentmods.dev/skills/stevenke1981/coart/coart-image-gen"><img src="https://agentmods.dev/badge/skills/stevenke1981/coart/coart-image-gen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 398 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.00398
Opus 5 $0.00012 $0.00199
Sonnet 5 $0.00005 $0.00080
Haiku 4.5 $0.00002 $0.00040

Measured 12d ago against content hash a985bad7386d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

coart-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 12d 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.

skills/coart-image-gen/SKILL.md · 39 lines

What it actually says

Coart Image Generation

Workflow

  1. Call get_coart_pending_request when the user says "繼續處理" after using the standalone editor; otherwise call get_coart_selection for the active project.
  2. When exactly one selected shape has meta.coartKind: "ai-image", treat its props.w and props.h as the generation contract.
  3. Generate the bitmap with the available image generation capability. The prompt must state target width, height, and aspect ratio.
  4. Resolve the exact local output image created for this request. Never reuse an older unrelated generated file.
  5. When the user is asking to update an existing image shape, call update_coart_image so its shape, position, and display size remain stable:
{
  "projectDir": "<active-project>",
  "imagePath": "<exact-local-generated-image>",
  "shapeId": "<selected-image-shape-id>"
}

For an AI image holder or a new image, call insert_coart_image:

{
  "projectDir": "<active-project>",
  "imagePath": "<exact-local-generated-image>",
  "anchorShapeId": "<selected-holder-id>",
  "replaceHolder": true
}
  1. When no AI image holder is selected, still generate and insert a standalone image. Use the current page and selected shape as placement context.
  2. Keep the original selected image and annotations when the request is an annotation-led revision; insert the new result beside them instead of replacing them.
  3. After handling a queued standalone request, call clear_coart_pending_request with its request id.
  4. Report the updated or inserted shapeId, asset path, dimensions, and replaced holder id when applicable.
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. 12d ago First seen · 39 lines · 24 tokens per session scan A a985bad7386d

Subscribe to this mod's changes

coart-image-gen is a skill published in the GitHub repository stevenke1981/coart (1 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 398 once invoked, about $0.0001 per session on Opus 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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