Sanitize images by stripping privacy-sensitive metadata through secure pixel re-encoding for safe publishing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install image-metadata-cleaner
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install image-metadata-cleaner 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 Metadata Cleaner?
Image Metadata Cleaner is a specialized utility designed for privacy hygiene and file preparation. It works by re-encoding image pixels into entirely new files, ensuring that all metadata layers including EXIF, GPS, XMP, and C2PA are completely discarded. This process provides a higher level of security than simple tag removal. As part of the Openclaw Skills collection, it empowers users to maintain privacy when sharing images online or preparing assets for professional publishing.
Image Metadata Cleaner Use Cases
- Removing GPS coordinates and device fingerprints from personal photos before public sharing.
- Stripping enterprise-specific XMP or Adobe metadata from marketing assets.
- Optimizing file sizes for web use by discarding bulky and unnecessary metadata containers.
- Ensuring compliance with privacy regulations by sanitizing user-generated image content.
How Image Metadata Cleaner Works
- The user initiates a request to clean a single file or an entire folder of images.
- The system validates ownership or authorization for privacy hygiene tasks.
- Optionally, a dry-run is executed to preview the impact of the cleaning process without writing files.
- The skill re-encodes the image data into a fresh file, effectively leaving all metadata layers behind.
- It performs a secondary verification scan on the output to confirm no residual markers exist.
- A detailed summary is provided to the user, including file size reductions and verification results.
Image Metadata Cleaner Setup
To use this utility within Openclaw Skills, ensure you have the Pillow library installed. You can run the cleaner directly using uv:
uv run --with "pillow>=10.0" scripts/strip.py "<path>" --manifest
For standard Python environments, use the following commands:
pip install "pillow>=10.0" && python scripts/strip.py "<path>" --manifest
Image Metadata Cleaner Data Schema & Taxonomy
The skill processes various image formats and organizes outputs systematically to ensure data integrity:
| Feature | Details |
|---|---|
| Supported Extensions | .png, .jpg, .jpeg, .webp, .bmp, .tiff |
| Output Naming | Appends -clean to the original filename (e.g., photo-clean.jpg) |
| Default Storage | Batch outputs are placed in a dedicated metadata-cleaned/ subdirectory |
| Quality Control | JPEG quality defaults to 95 to balance pixel fidelity and file size |
| Metadata Removal | Strips EXIF, XMP, IPTC, ICC Profiles, and C2PA provenance markers |
Image Metadata Cleaner Advanced Features
- Recursive directory processing for large-scale privacy hygiene tasks across complex folder structures.
- JSON manifest generation for tracking file transformations and providing an audit trail of metadata removal.
- Automated output verification that re-scans the new file to detect residual provenance markers.
- Format conversion support to normalize image libraries while simultaneously cleaning metadata.
- Robust error handling that prevents accidental overwriting of original source files.
SKILL.md
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