← Back to Skills Marketplace
287
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install image-quality-filter
Description
Detect and filter out low-quality images by analyzing blur, brightness, and resolution to clean up image datasets efficiently.
README (SKILL.md)
Image Quality Filter
Detect and filter out low-quality images including blurry, dark, too bright, or low resolution images. Use when user wants to clean up image datasets by removing poor quality images.
Features
- Blur Detection: Detect blurry images using Laplacian variance
- Brightness Analysis: Find too dark or too bright images
- Resolution Filter: Remove low-resolution images
- Quality Score: Compute overall quality score
- Batch Processing: Process large image folders
- Multiple Actions: List, delete, or move low-quality images
Usage
# Scan for low quality images
python scripts/quality_filter.py scan /path/to/images/
# Filter with custom thresholds
python scripts/quality_filter.py scan /path/to/images/ \
--blur-threshold 100 \
--min-resolution 640x480 \
--min-brightness 30 \
--max-brightness 220
# Delete low quality images
python scripts/quality_filter.py scan /path/to/images/ --action delete
Examples
$ python scripts/quality_filter.py scan ./images/
Scanning 150 images...
Analyzing quality...
Found 12 low-quality images:
[BLUR] photo_blurry.jpg (score: 45)
[BLUR] image_low.jpg (score: 62)
[DARK] dark_photo.jpg (score: 38)
[BRIGHT] overexposed.jpg (score: 41)
[RES] tiny_image.png (320x240)
Total: 12 low-quality images removed
Quality Criteria
| Criterion | Threshold | Description |
|---|---|---|
| Blur | \x3C 100 | Laplacian variance (lower = blurrier) |
| Brightness | 30-220 | Out of range is poor |
| Resolution | > 640x480 | Below minimum is low quality |
Installation
pip install pillow numpy opencv-python
Options
--blur-threshold: Blur threshold (default: 100)--min-resolution: Minimum resolution (default: 640x480)--min-brightness: Minimum brightness 0-255 (default: 30)--max-brightness: Maximum brightness 0-255 (default: 220)--action: What to do (list, delete, move)--output: Output folder for --action move
Usage Guidance
This skill appears coherent and works locally on image files. Before using it: (1) run it in 'list' mode first to review results; (2) back up your dataset or test on a small subset before using 'move' or 'delete'; (3) note that blur detection requires OpenCV—if cv2 is not installed the script will skip blur checks; and (4) because move operations do not prompt, be cautious when specifying the output directory. There are no network calls or credential requests in the code.
Capability Analysis
Type: OpenClaw Skill
Name: image-quality-filter
Version: 1.0.0
The skill bundle provides a legitimate tool for filtering low-quality images based on blur, brightness, and resolution. The Python script (scripts/quality_filter.py) uses standard libraries like PIL and OpenCV to analyze images and includes documented functionality to list, move, or delete files, with no evidence of malicious intent, data exfiltration, or prompt injection.
Capability Assessment
Purpose & Capability
Name/description, SKILL.md, and the included Python script are consistent: all required functionality (blur via Laplacian, brightness, resolution, batch actions) is implemented and no unrelated capabilities (cloud access, unrelated binaries) are requested.
Instruction Scope
Runtime instructions only invoke the included script on a user-specified directory. The script reads local image files and can list/move/delete them; it does not reference other system paths, environment variables, or external endpoints. Note: the delete action prompts for confirmation, while move does not.
Install Mechanism
No install spec is present (instruction-only), and the README's pip dependency list (Pillow, numpy, opencv-python) is proportional and expected for image analysis. Nothing is downloaded from arbitrary URLs.
Credentials
The skill declares no environment variables or credentials. The code does not access secrets or external service tokens.
Persistence & Privilege
The skill is not always-enabled and does not modify other skills or system-wide agent settings. It runs only when invoked and has no mechanisms for persistent background presence.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install image-quality-filter - After installation, invoke the skill by name or use
/image-quality-filter - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release with image quality filtering features:
- Detects blurry, dark, over-bright, and low-resolution images.
- Computes a quality score for each image.
- Supports batch processing of large image folders.
- Allows customizable thresholds for blur, brightness, and resolution.
- Multiple actions: list, delete, or move low-quality images.
Metadata
Frequently Asked Questions
What is Image Quality Filter?
Detect and filter out low-quality images by analyzing blur, brightness, and resolution to clean up image datasets efficiently. It is an AI Agent Skill for Claude Code / OpenClaw, with 287 downloads so far.
How do I install Image Quality Filter?
Run "/install image-quality-filter" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Image Quality Filter free?
Yes, Image Quality Filter is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Image Quality Filter support?
Image Quality Filter is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Image Quality Filter?
It is built and maintained by Mingo_318 (@mingo-318); the current version is v1.0.0.
More Skills