pytorch-patterns
Pass
Audited by Gen Agent Trust Hub on Oct 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill contains legitimate Python code snippets demonstrating PyTorch best practices, including custom Dataset implementations, neural network module design, and model fine-tuning techniques.
- [SAFE]: No credential exposure, malicious network operations, or persistence mechanisms were detected.
- [SAFE]: External dependencies are limited to well-known and standard machine learning libraries such as PyTorch, NumPy, Pandas, Albumentations, and Pillow.
- [SAFE]: The code implements standard data loading and processing patterns without using dangerous functions like eval(), exec(), or unsafe deserialization.
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