image-transform

image-transform is a skill for Claude Code, Codex from jgkme/img-gen-mcp. It costs 26 tokens per session (312 once invoked), scanned A, original, MIT.

A set of tools for changing existing images without changing their subject, including resizing, cropping, trimming whitespace, and optimizing file formats.

In plain words
What is it for?
Use it to resize images, remove excess margins, crop them, and export web-ready PNG, WebP, JPEG, or AVIF files.
Why use it?
It handles routine image cleanup and export work without using image generation for simple transformations.

Skill for Claude CodeCodex

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

Good fit Use it to resize images, remove excess margins, crop them, and export web-ready PNG, WebP, JPEG, or AVIF files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jgkme/img-gen-mcp/image-transform
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 jgkme/img-gen-mcp --skill image-transform
Clone the repo
git clone --depth 1 https://github.com/jgkme/img-gen-mcp

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 image-transform

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/jgkme/img-gen-mcp/image-transform"><img src="https://agentmods.dev/badge/skills/jgkme/img-gen-mcp/image-transform.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 312 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 $0.00026 $0.00312
Opus 5 $0.00013 $0.00156
Sonnet 5 $0.00005 $0.00062
Haiku 4.5 $0.00003 $0.00031

Measured 9d ago against content hash 02c7d8332648, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

image-transform 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 9d 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/image-transform/SKILL.md · 32 lines

What it actually says

Image Transform

Use this skill when the task is to reshape an existing image without changing its subject.

Tool guidance

  • Use resize_image to change dimensions while preserving the image content.
  • Use auto_crop to crop to a target size or trim excess whitespace.
  • Use optimize_image to export web-ready PNG, WebP, JPEG, or AVIF output.
  • Use finalize_image when you want crop, trim, resize, and optional background removal in one step.
  • Use output_path when you want a stable file path.
  • Use website-asset-workflow for logo, favicon, and site-asset delivery guidance when the resize is part of a broader web pipeline.
  • Use sprite-workflow for sprite sheets, transparent frame exports, and game-ready asset guidance when the resize is part of a broader game-art pipeline.

Decision guide

  • Use resize_image when layout or file size is the constraint.
  • Use auto_crop when framing or whitespace cleanup is the constraint.
  • Use optimize_image when the file needs delivery-ready compression.
  • Use finalize_image when you want a one-call cleanup and export pipeline.

Good practice

  • Keep transforms deterministic.
  • Avoid using generation models for simple resizing or cropping.
  • Preserve transparency unless the task explicitly asks to flatten it.
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. 9d ago First seen · 32 lines · 26 tokens per session scan A 02c7d8332648

Subscribe to this mod's changes

image-transform is a skill published in the GitHub repository jgkme/img-gen-mcp (2 stars, last pushed 2mo ago), licensed MIT. It adds 26 tokens to every session and 312 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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