Image Nuke for Openclaw

A high-intensity image anonymization tool that strips all metadata and injects noise to defeat forensic tracking and reverse image search.

cassh100k
v1.0.0
Mar 9, 2026
0
935
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install image-nuke

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Image Nuke?

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.

Image Nuke Use Cases

  • Removing sensitive GPS and location coordinates from photos before public sharing.
  • Stripping camera, lens, and exposure data to protect professional hardware privacy.
  • Defeating reverse image search algorithms to prevent cross-platform tracking.
  • Batch processing large datasets of images to ensure consistent privacy standards across a project.
  • Sanitizing images of Adobe tags, ICC profiles, and editing history for clean distribution.

How Image Nuke Works

  1. The skill initiates by parsing the input image and identifying all embedded metadata structures.
  2. It performs a total wipe of all EXIF, XMP, IPTC, and ICC color profiles.
  3. Sub-pixel Gaussian noise and micro color shifts are injected into the image data to alter the digital fingerprint.
  4. A random micro-crop of 1-3 pixels is applied to change the physical dimensions and hash results.
  5. The image is re-encoded into a fresh JPEG format using randomized quality and subsampling settings.
  6. A unique, anonymized file is saved, ensuring the original source remains untouched for forensic comparison if needed.

Image Nuke Setup

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

Image Nuke Data Schema & Taxonomy

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

Image Nuke Advanced Features

  • Configurable noise levels from 1 (light) to 5 (nuclear) to balance image quality with anonymity.
  • Full batch processing support to automate the sanitization of entire directories.
  • Custom JPEG quality overrides to further manipulate the file's digital signature.
  • Forensic-resistant re-encoding that makes each run produce a unique output hash.
  • Seamless integration into automated pipelines powered by Openclaw Skills.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*