anomalib-adding-a-datamodule
Pass
Audited by Gen Agent Trust Hub on Oct 29, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is instructional in nature, providing Markdown documentation and Python code skeletons to help developers integrate new data sources into the Anomalib framework.
- [SAFE]: The code snippets provided demonstrate standard use of well-known and legitimate libraries including PyTorch, PyTorch Lightning, and Pandas for data manipulation.
- [SAFE]: No malicious patterns such as prompt injection, obfuscation, or unauthorized data access were found. The mention of downloading data in the
prepare_datamethod is a standard practice for machine learning dataset management and does not involve suspicious URLs or execution patterns.
Audit Metadata