image-processing

image-processing is a skill for Claude Code from ai-ecoverse/slicc. It costs 90 tokens per session (1,260 once invoked), scanned A, original, Apache-2.0.

A guide to common image and PDF transformations using ImageMagick-style commands and PDF conversion tools.

In plain words
What is it for?
Use it to resize, crop, rotate, annotate, join, or grid images; create contact sheets; convert PDF pages to images; and read PDF text layers.
Why use it?
It provides repeatable commands for changing image size, orientation, color, layout, and format without relying on an external image editor.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

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.

agentmods
npx agentmods add skills/ai-ecoverse/slicc/image-processing
Any agent
npx skills add ai-ecoverse/slicc --skill image-processing
Clone the repo
git clone --depth 1 https://github.com/ai-ecoverse/slicc

Made for: Claude Code.

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/ai-ecoverse/slicc/image-processing.svg)](https://agentmods.dev/skills/ai-ecoverse/slicc/image-processing)
Your own site
<a href="https://agentmods.dev/skills/ai-ecoverse/slicc/image-processing"><img src="https://agentmods.dev/badge/skills/ai-ecoverse/slicc/image-processing.svg" alt="Measured on agentmods" height="20"></a>
Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,260 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00090 $0.01260
Opus 5 $0.00045 $0.00630
Sonnet 5 $0.00018 $0.00252
Haiku 4.5 $0.00009 $0.00126

Measured yesterday against content hash 53d99bf7fac1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 yesterday.

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.

packages/vfs-root/workspace/skills/image-processing/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Image processing with convert

SLICC's local ImageMagick WASM command handles common image transforms, multi-image composition, and labels without network access. magick is an alias for convert.

Compose filmstrips and grids

Join images horizontally with +append or vertically with -append:

convert f00.jpg f01.jpg f02.jpg f03.jpg +append "$TMPDIR/filmstrip.jpg"
convert top.png middle.png bottom.png -append "$TMPDIR/column.png"

Build grids with escaped parenthesized groups. Each group produces one intermediate image:

convert \( f00.jpg f01.jpg f02.jpg f03.jpg +append \) \
  \( f04.jpg f05.jpg f06.jpg f07.jpg +append \) \
  -append "$TMPDIR/grid.jpg"

Transform images

Operations run from left to right on the preceding image or group:

convert photo.jpg -auto-orient -thumbnail '320x320>' -strip thumb.jpg
convert input.png -gravity center -crop 800x600+0+0 output.png
convert input.png -background white -gravity center -extent 1200x630 output.png
convert input.png -colorspace Gray -normalize -sharpen 0x1 output.png

Common operations:

  • Geometry: -resize, -thumbnail, -crop, -extent, -rotate
  • Orientation: -auto-orient, -flip, -flop
  • Cleanup: -strip, -trim, -auto-gamma, -auto-level, -normalize
  • Color/alpha: -background, -alpha, -colorspace, -transparent, -negate
  • Effects: -blur R[xS], -sharpen R[xS]
  • Output: -quality 0-100

Resize geometry accepts ImageMagick modifiers such as %, !, ^, >, and <. Quote geometry containing shell metacharacters.

Add labels

Configure the drawing state before -annotate:

convert frame.jpg -gravity south -fill white -undercolor '#000000aa' \
  -pointsize 24 -annotate +0+10 'Frame 07 — 00:03.5' labeled.jpg

Annotation uses the bundled Adobe Clean font; custom -font selection is not supported yet.

Use -gravity with northwest, north, northeast, west, center, east, southwest, south, or southeast. Quote label text and colors containing #.

Read the full file on GitHub · 124 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. yesterday First seen · 124 lines · 90 tokens per session scan A 53d99bf7fac1

Subscribe to this mod's changes

image-processing is a skill published in the GitHub repository ai-ecoverse/slicc (30 stars, last pushed yesterday), licensed Apache-2.0. It adds 90 tokens to every session and 1,260 once invoked, about $0.0005 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 2026-09-05.

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