image-processing

image-processing is a skill for Claude Code from jezweb/claude-skills. It costs 93 tokens per session (1,749 once invoked), scanned A, original, MIT.

A tool-guided workflow for turning an agreed repository rule into a small automatic check.

In plain words
What is it for?
Use it to add structural checks, tests, lint rules, or other native validation that proves both allowed and forbidden cases and reports exactly how to fix violations.
Why use it?
It prevents a documented architecture, reliability, security, or quality rule from being broken again without creating a second set of conflicting policies.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the design-assets plugin — 5 skills, 5 commands shipped together

not rated 1.1krepo +6 17d ago A scan Socket: warnSnyk: passSkillSpector: pass 93 tokens original MIT

Good fit Use it to add structural checks, tests, lint rules, or other native validation that proves both allowed and forbidden cases and reports exactly how to fix violations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jezweb/claude-skills/image-processing
About the project

jezweb/claude-skills is a collection of skills, commands, plugins, settings, instructions, and hooks that guide the Claude Code CLI through development tasks and produce outputs such as project scaffolds, assets, documents, or deployed services. It is for developers using Claude Code with technologies and services including Cloudflare, React, Tailwind, Shopify, and WordPress. The catalogue entries are the project's own Claude Code workflow components.

jezweb/claude-skills · 1,076 stars · on GitHub · jezweb.com.au

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 jezweb/claude-skills --skill image-processing
Clone the repo
git clone --depth 1 https://github.com/jezweb/claude-skills

Made for: Claude Code.

Or install design-assets, the plugin that ships this one along with the rest of its 5 skills, 5 commands.

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-processing

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/jezweb/claude-skills/image-processing"><img src="https://agentmods.dev/badge/skills/jezweb/claude-skills/image-processing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,749 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. Third-party audits
  • Socket warn 14 Sept 2026
  • Snyk pass 14 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00093 $0.01749
Opus 5.5 $0.00037 $0.00700
Sonnet 5.5 $0.00019 $0.00350
Haiku 4.5 $0.00009 $0.00175

Measured 1mo ago against content hash 33268e45cd4c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

image-processing 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.

plugins/design-assets/skills/image-processing/SKILL.md · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Image Processing

Use img-process (shipped in bin/) for common operations. For complex or custom workflows, generate a Pillow script adapted to the user's environment.

Quick Reference — img-process CLI

img-process resize hero.png --width 1920
img-process convert logo.png --format webp
img-process trim logo-raw.jpg -o logo-clean.png --padding 10
img-process thumbnail photo.jpg --size 200
img-process optimise hero.jpg --quality 85 --max-width 1920
img-process og-card -o og.png --title "My App" --subtitle "Built for speed"
img-process batch ./images --action convert --format webp -o ./optimised

Use img-process when: the operation is standard (resize, convert, trim, thumbnail, optimise, OG card, batch). This is faster and avoids generating a script each time.

Generate a custom script when: the operation needs logic img-process doesn't cover (compositing multiple images, watermarks, complex text layouts, conditional processing).

Prerequisites

Pillow is required for both img-process and custom scripts:

pip install Pillow

If Pillow is unavailable, use alternatives:

Alternative Platform Install Best for
sips macOS (built-in) None Resize, convert (no trim/OG)
sharp Node.js npm install sharp Full feature set, high performance
ffmpeg Cross-platform brew install ffmpeg Resize, convert

Output Format Guide

Use case Format Why
Photos, hero images WebP Best compression, wide browser support
Logos, icons (need transparency) PNG Lossless, supports alpha
Fallback for older browsers JPG Universal support
Thumbnails WebP or JPG Small file size priority
OG cards PNG Social platforms handle PNG best

Core Patterns

Save with Format-Specific Quality

Different formats need different save parameters. Always handle RGBA-to-JPG compositing — JPG does not support transparency, so composite onto a white background first.

Read the full file on GitHub · 218 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.

  1. 1mo ago First seen · 218 lines · 93 tokens per session scan A 33268e45cd4c

Subscribe to this mod's changes

image-processing is a skill published in the GitHub repository jezweb/claude-skills (1,076 stars, last pushed 17d ago), licensed MIT. It adds 93 tokens to every session and 1,749 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.

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