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Install in OpenClaw
/install dinghaibin-image-processor
Description
Process and convert images with resize, crop, compress, and format conversion. Use when user needs to batch resize photos, convert image formats, compress im...
README (SKILL.md)
Image Processor
Process and convert images with resize, crop, compress, and format conversion.
Quick Start
# Resize an image
python scripts/process.py input.jpg --resize 800x600 --output output.jpg
# Convert format
python scripts/process.py input.png --format jpg --output output.jpg
Usage
python scripts/process.py INPUT [OPTIONS]
Options:
--output PATH Output file path
--resize WxH Resize to dimensions
--scale PERCENT Scale by percentage
--crop WxH+X+Y Crop to dimensions
--format FORMAT Convert format: jpg, png, webp, gif
--quality QUALITY JPEG quality (1-100)
--thumbnail SIZE Create thumbnail
--grayscale Convert to grayscale
--blur RADIUS Apply blur
--rotate DEGREES Rotate image
Examples
# Resize to 800px width
python scripts/process.py photo.jpg --resize 800x0 --output small.jpg
# Create thumbnail
python scripts/process.py photo.jpg --thumbnail 200x200 --output thumb.jpg
# Compress for web
python scripts/process.py large.jpg --quality 80 --format webp --output optimized.webp
# Batch resize
for f in *.jpg; do python scripts/process.py "$f" --resize 1200x0 --output "small_$f"; done
# Convert to PNG
python scripts/process.py input.jpg --format png --output output.png
Features
- Resize (by dimensions or percentage)
- Crop
- Format conversion (JPG, PNG, WebP, GIF)
- Quality/compression control
- Thumbnails
- Grayscale conversion
- Blur filter
- Rotation
- Batch processing
Usage Guidance
This skill appears to do what it says: local image processing via the included Python script. Before using it for large/batch jobs: (1) Install Pillow (pip install pillow) — SKILL.md examples assume full functionality but don't explicitly show this. (2) Review and test on a small set of non-sensitive images: the script has a few implementation bugs (crop parsing uses an incorrect split, some dimension/zero-handling logic and reuse of args in batch mode can behave unexpectedly). (3) Because it operates on local files, run it in a working directory where you can safely overwrite or inspect outputs (or run on copies). There is no network activity or credential use in the code. If you plan to run large batches, consider fixing the small bugs or using a well-maintained image tool/library instead.
Capability Analysis
Type: OpenClaw Skill
Name: dinghaibin-image-processor
Version: 1.0.0
The image-processor skill is a standard utility for manipulating images using the Pillow library. The Python script (scripts/process.py) implements common operations like resizing, cropping, and format conversion without any suspicious network activity, file system abuse, or data exfiltration logic. The instructions in SKILL.md are consistent with the code's functionality and do not contain any prompt injection attempts.
Capability Assessment
Purpose & Capability
Name/description (image resize/convert/compress) aligns with the provided script and SKILL.md examples. The included script implements resize, crop, thumbnail, format conversion, blur, grayscale, rotation, and batch processing — all consistent with the description.
Instruction Scope
SKILL.md shows only local usage of the bundled script (python scripts/process.py ...). It does not instruct reading unrelated system files, contacting external endpoints, or accessing secrets. Minor issue: SKILL.md/Quick Start examples omit an explicit instruction to install the Pillow dependency (the script's docstring references it), so users may encounter an ImportError if Pillow is not installed.
Install Mechanism
No install spec is present and the skill is instruction-only with an included Python script. No downloads or external install steps are executed by the skill itself. The only runtime dependency is Pillow, which must be installed by the user; this is low-risk.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The script operates on local files provided by the user and does not attempt to read other environment data or secrets.
Persistence & Privilege
The skill is not always-enabled and uses normal model-invocation defaults. It does not modify other skills or system-wide settings and does not request elevated/persistent privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install dinghaibin-image-processor - After installation, invoke the skill by name or use
/dinghaibin-image-processor - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is Image Processor?
Process and convert images with resize, crop, compress, and format conversion. Use when user needs to batch resize photos, convert image formats, compress im... It is an AI Agent Skill for Claude Code / OpenClaw, with 43 downloads so far.
How do I install Image Processor?
Run "/install dinghaibin-image-processor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Image Processor free?
Yes, Image Processor is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Image Processor support?
Image Processor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Image Processor?
It is built and maintained by BIN (@dinghaibin); the current version is v1.0.0.
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