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 ai-ecoverse/slicc --skill image-processinggit clone --depth 1 https://github.com/ai-ecoverse/sliccWrote 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/ai-ecoverse/slicc/image-processing)<a href="https://agentmods.dev/skills/ai-ecoverse/slicc/image-processing"><img src="https://agentmods.dev/badge/skills/ai-ecoverse/slicc/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.
<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="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 | $0.00090 | $0.01260 |
| Opus 5.5 | $0.00036 | $0.00504 |
| Sonnet 5.5 | $0.00018 | $0.00252 |
| Haiku 4.5 | $0.00009 | $0.00126 |
Grade A, and why
image-processing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image processing with convert
SLICC's local ImageMagick WASM command handles common image transforms, multi-image composition, and labels without network access. magick is an alias for convert.
Compose filmstrips and grids
Join images horizontally with +append or vertically with -append:
convert f00.jpg f01.jpg f02.jpg f03.jpg +append "$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 #.
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 · 124 lines · 90 tokens per session scan A 53d99bf7fac1
image-processing is a skill published in the GitHub repository ai-ecoverse/slicc (34 stars, last pushed 2d ago), licensed Apache-2.0. It adds 90 tokens to every session and 1,260 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 2026-09-05.
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