Image Duplication Detector

This skill appears to implement what it claims, but take these precautions before installing or running it: - Dependency hygiene: requirements.txt uses nonstandard names ('cv2', 'pil') and may be missing opencv-contrib (SIFT). Fix and pin package names (opencv-python, opencv-contrib-python, Pillow, proper versions) before pip install -r requirements.txt. - Run in an isolated environment (virtualenv, container) to avoid affecting your system Python and to contain file I/O. - Test on non-sensitive sample data first. The tool reads input files and writes temporary files and reports; ensure your input does not contain confidential images you cannot expose. - Audit the full script tail (file was truncated in the review) to confirm there are no unexpected network calls, telemetry, or external endpoints before trusting it with sensitive datasets. - Verify temp file handling and deletion (code deletes some temp files but double-check behavior on errors) and consider running with a controlled temp-dir. - Be aware of false positives in tampering detection; manual review of flagged regions is recommended. If you want, I can: (1) produce a corrected requirements.txt with appropriate package names and versions, (2) scan the rest of the script if you provide the truncated portion, or (3) suggest a safe containerized run command.