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coart-image-edit

coart-image-edit is a skill for Claude Code, Codex from stevenke1981/coart. It costs 22 tokens per session (293 once invoked), scanned A, original, MIT.

A Coart workflow for revising an image from an annotated screenshot. Coart is an image-editing canvas where marks such as arrows, circles, and handwritten notes indicate requested changes.

In plain words
What is it for?
It helps interpret image annotations, generate a cleaned-up revision, replace the selected image in place, or insert the revision beside the original.
Why use it?
It turns visual feedback into a clean revised image while preserving the original when needed and removing annotation marks and editor controls.

Skill for Claude CodeCodex

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

not rated 1repo 3mo ago A scan 22 tokens original MIT

Good fit It helps interpret image annotations, generate a cleaned-up revision, replace the selected image in place, or insert the revision beside the original.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/stevenke1981/coart/coart-image-edit
View source ↗ stevenke1981/coart
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-edit
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-edit

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/stevenke1981/coart/coart-image-edit"><img src="https://agentmods.dev/badge/skills/stevenke1981/coart/coart-image-edit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 293 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 $0.00022 $0.00293
Opus 5.5 $0.00009 $0.00117
Sonnet 5.5 $0.00004 $0.00059
Haiku 4.5 $0.00002 $0.00029

Measured 2mo ago against content hash 9adbb489ef69, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

coart-image-edit 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 2mo 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-edit/SKILL.md · 15 lines

What it actually says

Coart Annotation Edit

  1. If the standalone editor was used, call get_coart_pending_request first when a pending request exists; do not ask the user to paste a prompt. If the user refers to an image just edited in Coart, call get_coart_latest_image; otherwise use the named annotation screenshot path inside the active project's canvas/assets/ directory.
  2. Treat arrows, circles, freehand marks, and nearby text as revision instructions.
  3. Generate a clean bitmap without annotation marks, blue selection boxes, toolbars, or editor chrome.
  4. Preserve the requested subject, composition, and aspect ratio unless the annotations explicitly change them.
  5. If the user asks to update the existing image, call update_coart_image with the exact generated image path and the selected image shape id. This preserves the shape's position, size, and id while keeping the previous asset protected.
  6. For annotation-led revisions where the original must remain unchanged, call insert_coart_image with the active project and place the result beside the selected source. Do not set replaceHolder: true unless the anchor is an actual ai-image holder.
  7. After a queued standalone request is handled successfully, call clear_coart_pending_request with its request id.
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. 2mo ago First seen · 15 lines · 22 tokens per session scan A 9adbb489ef69

Subscribe to this mod's changes

coart-image-edit is a skill published in the GitHub repository stevenke1981/coart (1 stars, last pushed 3mo ago), licensed MIT. It adds 22 tokens to every session and 293 once invoked, about $0.0001 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.

Creative and mediaDesign and UX
Related

coart-image-edit compared with skills from other repositories

coart-image-edit next to 6 skills from other repositories
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