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.
npx skills add oaustegard/claude-skills --skill processing-imagesgit clone --depth 1 https://github.com/oaustegard/claude-skillsWrote 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.
[](https://agentmods.dev/skills/oaustegard/claude-skills/processing-images)<a href="https://agentmods.dev/skills/oaustegard/claude-skills/processing-images"><img src="https://agentmods.dev/badge/skills/oaustegard/claude-skills/processing-images/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.
<a href="https://agentmods.dev/skills/oaustegard/claude-skills/processing-images"><img src="https://agentmods.dev/badge/skills/oaustegard/claude-skills/processing-images.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00180 | $0.02089 |
| Opus 5.5 | $0.00072 | $0.00836 |
| Sonnet 5.5 | $0.00036 | $0.00418 |
| Haiku 4.5 | $0.00018 | $0.00209 |
Grade A, and why
processing-images 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.
How it starts
The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Processing Tools
This container has a rich image processing toolkit. Before writing any image code, scan this inventory to pick the best tool for the job — don't default to Pillow for everything.
Tool Selection by Task
Format Conversion & Batch Operations
ImageMagick convert is the default choice. Handles 260+ formats, single command, no code needed.
convert input.png output.webp
convert input.png -quality 85 output.jpg
mogrify -format webp *.png # batch in-place
For animated formats (GIF↔WebP↔APNG, video↔frames), prefer ffmpeg.
Resize, Crop, Thumbnails
ImageMagick for CLI one-liners. Pillow when already in Python pipeline.
convert input.jpg -resize 800x600 output.jpg # fit within box
convert input.jpg -resize 800x600^ -gravity center -extent 800x600 output.jpg # fill+crop
convert input.jpg -thumbnail 200x200^ -gravity center -extent 200x200 thumb.jpg
IM supports 30+ resize filters: -filter Lanczos (sharp downscale), -filter Mitchell (balanced), -filter Point (nearest-neighbor/pixel art).
Compositing & Overlays
ImageMagick composite or convert with -composite. Supports all Porter-Duff modes.
composite -gravity southeast watermark.png photo.jpg output.jpg
convert base.png overlay.png -gravity center -composite result.png
For complex multi-layer work or programmatic positioning, use Pillow (Image.paste, Image.alpha_composite).
Montages, Collages, Contact Sheets
ImageMagick montage — purpose-built for grid layouts.
montage *.jpg -geometry 200x200+5+5 -tile 4x3 sheet.jpg
montage *.png -label '%f' -geometry +4+4 catalog.png
Animated GIFs & Frame Sequences
ImageMagick for simple GIF assembly. ffmpeg for anything involving timing control, video sources, or optimization.
convert -delay 10 -loop 0 frame_*.png animation.gif # IM
ffmpeg -framerate 10 -i frame_%03d.png -vf palettegen palette.png && \
ffmpeg -framerate 10 -i frame_%03d.png -i palette.png -lavfi paletteuse output.gif # optimized
imageio is convenient for frame-sequence GIFs from Python arrays.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 160 lines · 180 tokens per session scan A 8d87b2d9013e
processing-images is a skill published in the GitHub repository oaustegard/claude-skills (157 stars, last pushed yesterday), licensed MIT. It adds 180 tokens to every session and 2,089 once invoked, about $0.0007 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 2026-09-03.
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