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Install in OpenClaw
/install image-nuke
Description
Nuclear-grade image metadata cleanser. Strip ALL EXIF/GPS/camera data, re-encode with noise injection. Forensically untraceable, reverse image search resistant.
README (SKILL.md)
Image Nuke - Nuclear Metadata Cleanser
Strip everything. Re-encode. Inject noise. Forensically untraceable.
What Gets Destroyed
- ALL EXIF data (camera, lens, exposure, timestamps, software)
- GPS / location coordinates
- ICC color profiles
- XMP / IPTC metadata
- Adobe tags and editing history
- Embedded thumbnails
Nuclear Operations
- Sub-pixel Gaussian noise injection (invisible to human eye)
- Micro color shift (undetectable hue rotation)
- Per-pixel brightness variation
- Random micro-crop (changes dimensions by 1-3px)
- Fresh JPEG re-encoding with randomized quality/subsampling
- Different perceptual hash (reverse image search resistant)
Usage
# Single image - nuclear mode
python3 {baseDir}/scripts/nuke_image.py photo.jpg
# Custom output + max noise
python3 {baseDir}/scripts/nuke_image.py photo.jpg clean.jpg --noise 5
# Batch process entire directory
python3 {baseDir}/scripts/nuke_image.py --batch ./photos/ ./clean/
# Lower quality for harder reverse matching
python3 {baseDir}/scripts/nuke_image.py photo.jpg --quality 80 --noise 4
Noise Levels
| Level | Sigma | Use Case |
|---|---|---|
| 1 | 0.8 | Light cleanse - metadata only feel |
| 2 | 1.6 | Standard - good balance |
| 3 | 2.4 | Default - recommended |
| 4 | 3.2 | Heavy - reverse search resistant |
| 5 | 4.0 | Nuclear - maximum anonymization |
Requirements
- Python 3
- Pillow (
pip install Pillow) - NumPy (
pip install numpy)
Notes
- Output is always JPEG (even if input is PNG)
- Original file is never modified
- Each run produces a unique output (randomized noise)
Usage Guidance
This skill appears to do what it says: strip metadata and perturb pixels. Before installing or running it, consider: (1) The script will attempt to run `pip install Pillow numpy` if those packages are missing — that silently downloads code from PyPI at runtime. If you prefer tighter control, pre-install trusted versions of those packages or run the script in an isolated environment. (2) The claim "forensically untraceable" is a strong assertion — if you have legal or high-risk needs (evidence handling, law enforcement, sensitive surveillance), validate the results with independent forensic tools; this script may not satisfy chain-of-custody or adversarial forensic analysis. (3) There is no network exfiltration in the code, no credentials requested, and no system-wide changes. If you decide to use it, run it on non-sensitive test images first and consider sandboxing (container/VM) while you confirm behavior.
Capability Analysis
Type: OpenClaw Skill
Name: image-nuke
Version: 1.0.0
The skill includes a script `scripts/nuke_image.py` that uses `os.system` to automatically install Python dependencies (`Pillow` and `numpy`), which is a high-risk behavior in an automated agent environment as it executes shell commands and fetches external packages. While the tool's functionality for anti-forensics and bypassing reverse image search is clearly stated and the code performs the described pixel manipulations, the use of auto-installation via shell execution is a significant vulnerability. No evidence of intentional malice, data exfiltration, or persistence was found.
Capability Assessment
Purpose & Capability
Name/description promise (strip metadata, re-encode, inject noise) aligns with included script and SKILL.md. The single Python script implements metadata stripping, pixel noise, micro-cropping, JPEG re-encoding, and batch mode — all consistent with the stated goal. Required binary (python3) and Python deps (Pillow, NumPy) are appropriate for the task.
Instruction Scope
SKILL.md instructs running the provided script on specified files or directories; the script only reads the supplied image files and writes new JPEG outputs. It does not access unrelated filesystem paths, environment variables, or external network endpoints (beyond potential pip installs). It computes local hashes and prints diagnostics only. No evidence of data exfiltration or instructions to transmit outputs to third parties.
Install Mechanism
There is no formal install spec, but the script attempts to auto-install dependencies via os.system("pip install Pillow numpy") when imports fail. That causes network downloads from PyPI at runtime, which is a supply-chain risk (arbitrary code download) compared with requiring the user to pre-install packages. This behavior is not inherently malicious but is a risk to be aware of.
Credentials
The skill requests no environment variables, credentials, or config paths. The minimal privileges requested (read image files and write outputs) are proportional to the stated functionality.
Persistence & Privilege
The skill is not marked always:true and has no install-time behavior that modifies other skills or global agent configuration. It will only run when invoked; autonomous invocation is permitted (platform default) but not escalated by extra privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install image-nuke - After installation, invoke the skill by name or use
/image-nuke - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release - strip EXIF, noise injection, forensic anonymization
Metadata
Frequently Asked Questions
What is Image Nuke - Nuclear Metadata Cleanser?
Nuclear-grade image metadata cleanser. Strip ALL EXIF/GPS/camera data, re-encode with noise injection. Forensically untraceable, reverse image search resistant. It is an AI Agent Skill for Claude Code / OpenClaw, with 303 downloads so far.
How do I install Image Nuke - Nuclear Metadata Cleanser?
Run "/install image-nuke" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Image Nuke - Nuclear Metadata Cleanser free?
Yes, Image Nuke - Nuclear Metadata Cleanser is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Image Nuke - Nuclear Metadata Cleanser support?
Image Nuke - Nuclear Metadata Cleanser is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Image Nuke - Nuclear Metadata Cleanser?
It is built and maintained by Cassh (@cassh100k); the current version is v1.0.0.
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