A high-intensity image anonymization tool that strips all metadata and injects noise to defeat forensic tracking and reverse image search.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install image-nuke
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install image-nuke using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Image Nuke is a specialized privacy tool designed for developers and privacy advocates using Openclaw Skills. It provides a nuclear-grade solution for sanitizing image files by stripping every trace of identifying metadata, including EXIF, GPS, and camera specifications. Beyond simple cleaning, it employs advanced noise injection techniques to ensure that files are not only metadata-free but also forensically untraceable.
This skill is essential for anyone needing to share images while maintaining absolute anonymity. By re-encoding images with randomized quality and sub-pixel variations, it effectively disrupts perceptual hashes, making the output resistant to reverse image search engines. Within the catalog of Openclaw Skills, Image Nuke stands out as a critical utility for digital hygiene and cybersecurity.
To use this component of your Openclaw Skills, ensure you have the necessary dependencies installed via pip:
pip install Pillow numpy
Basic usage to nuke an image:
python3 scripts/nuke_image.py input.jpg output.jpg
The skill organizes its output by creating entirely new JPEG files. The following table describes the data modifications:
| Feature | Action Taken | Impact |
|---|---|---|
| EXIF/GPS | Complete Removal | Eliminates location and hardware tracking |
| Visual Noise | Gaussian Injection | Disrupts forensic pixel-matching algorithms |
| Dimensions | 1-3px Random Crop | Alters perceptual hash for reverse search resistance |
| Re-encoding | JPEG Normalization | Strips software-specific metadata (e.g., Adobe tags) |
| Output | New File Generation | Ensures original data integrity is maintained |
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