remove-ai-image-metadatalisted
Install: claude install-skill jqaisystems/jqai-ai-skills
# Remove AI Image Metadata
Remove explicit embedded AI provenance or generator metadata using a format-aware workflow. Preserve encoded image content and rendering data whenever possible.
## Workflow
1. Resolve the exact files or folder in scope and identify each real file format from its contents.
2. Inspect before writing. For PNG, JPEG/JPG, WebP, and GIF, use the bundled cleaner without a write option:
```powershell
python "<skill-folder>\scripts\clean_image_metadata.py" "<file-or-folder>" --recursive
```
3. Review every proposed removal. Default mode removes C2PA/Content Credentials blocks and metadata fields that contain known AI-generator markers.
4. Choose a write mode:
- Prefer verified copies when replacement was not explicitly requested:
```powershell
python "<skill-folder>\scripts\clean_image_metadata.py" "<file-or-folder>" --recursive --output-dir "<clean-folder>"
```
- Use `--in-place` only when the user wants the originals changed. Add `--backup-dir "<folder-outside-the-publish-folder>"` when a backup is useful.
- Add `--all-metadata` only when the user asks to remove all removable non-rendering metadata. Preserve color profiles and functional animation data.
5. Confirm every changed file reports `PASS`. The cleaner reparses the written container and confirms that encoded PNG, JPEG, WebP, or GIF image payloads are unchanged.
6. Inspect the cleaned output again when extra verification is appropriate.
7. Report the number