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 agentmods add skills/tta-lab/ttal-cli/image-toolsnpx skills add tta-lab/ttal-cli --skill image-toolsgit clone --depth 1 https://github.com/tta-lab/ttal-cliWhat 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 | $0.00034 | $0.00993 |
| Opus 5 | $0.00017 | $0.00496 |
| Sonnet 5 | $0.00007 | $0.00199 |
| Haiku 4.5 | $0.00003 | $0.00099 |
Grade A, and why
image-tools 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 3d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Tools
CLI-first image manipulation using ImageMagick (raster) and vtracer (raster-to-vector).
Prerequisites
Check if installed
which magick && echo "imagemagick OK" || echo "need: brew install imagemagick" which vtracer && echo "vtracer OK" || echo "need: cargo install vtracer"
Install if missing: brew install imagemagick # raster image editing cargo install vtracer # raster-to-vector conversion (Rust)
Raster-to-SVG Conversion
Simple flat icon (single/few colors)
Best for logos, icons, flat illustrations:
vtracer --input input.png --output output.svg
--colormode color
--filter_speckle 10
--color_precision 4
--corner_threshold 60
--segment_length 6
--gradient_step 32
High-detail image
For complex images, increase precision:
vtracer --input input.png --output output.svg
--colormode color
--filter_speckle 4
--color_precision 6
--corner_threshold 60
--segment_length 4
Black-and-white / monochrome
For line art, text, or single-color designs:
vtracer --input input.png --output output.svg --colormode bw
Tuning guide
- file too large → increase
filter_speckle,gradient_step, decreasecolor_precision - too rough/blocky → decrease
segment_length,filter_speckle - too many colors → decrease
color_precision(1-8, lower = fewer colors)
Raster Editing with ImageMagick
Remove watermark / overlay
Paint over a region with a solid color (e.g. matching background):
Get image dimensions first
magick identify input.png
Paint rectangle over bottom-right corner (100x100 area)
magick input.png -fill "#0F0F0F" -draw "rectangle 1180,1180 1280,1280" output.png
Resize
Resize to specific width, maintain aspect ratio
magick input.png -resize 512x output.png
Resize to exact dimensions
magick input.png -resize 512x512! output.png
Resize to fit within bounds (no upscale)
magick input.png -resize 512x512> output.png
Crop
Crop to 500x500 from top-left
magick input.png -crop 500x500+0+0 output.png
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.
- 3d ago First seen · 128 lines · 34 tokens per session scan A ed31d96539fa
image-tools is a skill published in the GitHub repository tta-lab/ttal-cli (23 stars, last pushed 1mo ago), licensed MIT. It adds 34 tokens to every session and 993 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…