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/godot-fun/godot-framework/image-trimnpx skills add godot-fun/godot-framework --skill image-trimgit clone --depth 1 https://github.com/godot-fun/godot-frameworkWrote 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/godot-fun/godot-framework/image-trim)<a href="https://agentmods.dev/skills/godot-fun/godot-framework/image-trim"><img src="https://agentmods.dev/badge/skills/godot-fun/godot-framework/image-trim.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00063 | $0.01852 |
| Opus 5 | $0.00032 | $0.00926 |
| Sonnet 5 | $0.00013 | $0.00370 |
| Haiku 4.5 | $0.00006 | $0.00185 |
Grade A, and why
image-trim 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 6d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Trim
Remove invalid border padding �?transparent margins, flat white/green edges, or unused canvas space �?with Pillow. Default: preserve the source aspect ratio so trimmed sprites stay proportionally consistent with the original frame.
Unlike --crop on image-remove-white-background (tight alpha bbox only), this skill expands the crop box to match the original width:height ratio while removing as much empty area as possible.
Rules
When this skill applies, read and follow skill-dependency-manager �?run scripts as documented, install missing tools into .dependency/.
- Run
trim.pythrough theimage-trimmanifest entry (.dependency/image-trim/.venv/). Never use hostpython,py,python3, or any interpreter outside.dependency/. - Do not hand-write ImageMagick / FFmpeg crop commands �?use the bundled script.
- Single file only. Pass one image with
--image; directories are not supported. populated: falseforimage-trimis not a reason to skip. Install first, setpopulated: true, retry the same command.- Pass the input path as-is. Output goes to
<image-dir>/image-trim/by default �?no path rewriting; never overwrite sources. - Crop only �?preserve source pixel data and alpha; never composite onto black/white or fill background colors.
- Output filenames keep the original asset name (e.g.
bullet_speed.png). Cursor chat attachment paths likeempty-window_images_bullet_speed-<uuid>.pngare shortened automatically.
Setup (first run)
From project root:
.dependency/python/python -m venv .dependency/image-trim/.venv
.dependency/image-trim/.venv/Scripts/python.exe -m pip install Pillow
Register in .dependency/manifest.json:
"image-trim": {
"populated": true,
"bin": ".dependency/image-trim/.venv/Scripts/python.exe"
}
Use bin/python on Unix.
Quick Start
Default: create an image-trim/ folder beside the input file and write the output there:
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.
- 6d ago First seen · 146 lines · 63 tokens per session scan A ddd592071b5d
image-trim is a skill published in the GitHub repository godot-fun/godot-framework (116 stars, last pushed 7d ago), licensed MIT. It adds 63 tokens to every session and 1,852 once invoked, about $0.0003 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.
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