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 instavm/coderunner --skill image-crop-rotategit clone --depth 1 https://github.com/instavm/coderunnerWrote 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/instavm/coderunner/image-crop-rotate)<a href="https://agentmods.dev/skills/instavm/coderunner/image-crop-rotate"><img src="https://agentmods.dev/badge/skills/instavm/coderunner/image-crop-rotate/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/instavm/coderunner/image-crop-rotate"><img src="https://agentmods.dev/badge/skills/instavm/coderunner/image-crop-rotate.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 | $0.00050 | $0.00566 |
| Opus 5.5 | $0.00020 | $0.00226 |
| Sonnet 5.5 | $0.00010 | $0.00113 |
| Haiku 4.5 | $0.00005 | $0.00057 |
Grade A, and why
image-crop-rotate 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- image-crop-rotate — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image Crop and Rotate
Overview
This skill provides functionality to crop images to 50% of their original size from the center and rotate them 90 degrees clockwise. It uses a reliable Python script with PIL/Pillow for consistent, high-quality image processing.
When to Use This Skill
Use this skill when the user requests:
- Cropping an image to 50% from the center
- Rotating an image 90 degrees (clockwise)
- Both cropping and rotating an image
- Image processing tasks that combine center cropping with rotation
How to Use This Skill
Overview
The skill provides a single script that performs both operations: cropping to 50% from center and rotating 90 degrees clockwise.
Process
-
Identify the input image: Locate the user's uploaded image file in
/mnt/user-data/uploads/ -
Execute the script: Run the
crop_and_rotate.pyscript with input and output paths:python scripts/crop_and_rotate.py <input_path> <output_path> -
Provide the result: Move the processed image to
/mnt/user-data/outputs/and share it with the user
Script Details
scripts/crop_and_rotate.py
This script performs two operations in sequence:
- Crops the image to 50% of its original size, centered
- Rotates the cropped image 90 degrees clockwise
Usage:
python scripts/crop_and_rotate.py input.jpg output.jpg
Arguments:
- First argument: Path to input image
- Second argument: Path to save processed image
Supported formats: Any format supported by PIL/Pillow (JPEG, PNG, GIF, BMP, TIFF, etc.)
Output: The script prints processing details including original size, cropped size, and final size
Example Workflow
# Process an uploaded image
python /mnt/user-data/skills/image-crop-rotate/scripts/crop_and_rotate.py \
/mnt/user-data/uploads/photo.jpg \
/mnt/user-data/outputs/photo_processed.jpg
The script will:
- Open the input image
- Crop it to 50% from the center (e.g., 1000x800 → 500x400)
- Rotate the cropped image 90° clockwise (e.g., 500x400 → 400x500)
- Save the result to the output path
What ships with it
1 file 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 · 72 lines · 50 tokens per session scan A 32bbb02a8f40
image-crop-rotate is a skill published in the GitHub repository instavm/coderunner (895 stars, last pushed 10d ago), licensed Apache-2.0. It adds 50 tokens to every session and 566 once invoked, about $0.0002 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 2026-08-30.
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