using-neural-architectures

Pass

Audited by Gen Agent Trust Hub on Feb 24, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADS
Full Analysis
  • [SAFE]: The skill serves as a comprehensive educational guide for machine learning architecture selection. It uses internal cross-references and documentation to assist users in choosing between different model families like CNNs, Transformers, and GNNs.
  • [SAFE]: All Python code snippets provided in the documentation are standard, benign implementations of neural network layers (e.g., MLP, CNN, LSTM) using the official PyTorch library.
  • [EXTERNAL_DOWNLOADS]: The documentation references the installation of several well-known, specialized machine learning libraries from public registries, such as flash-attn, performer-pytorch, and linformer. These are reputable third-party tools commonly used in the research community for optimizing attention mechanisms.
Audit Metadata
Risk Level
SAFE
Analyzed
Feb 24, 2026, 11:44 PM