designing-federated-learning-architecture

Pass

Audited by Gen Agent Trust Hub on Jun 16, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill is primarily educational, providing architectural documentation and workflows for Federated Learning implementation.
  • [SAFE]: The included Python simulation (scripts/process.py) is self-contained and uses the random and math libraries to generate synthetic data locally. It does not perform any network operations or access the local file system.
  • [SAFE]: No prompt injection attempts, obfuscation, or persistence mechanisms were found across the skill files.
  • [SAFE]: All external references point to reputable academic sources and well-known machine learning frameworks (TensorFlow, NVIDIA, Flower).
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 16, 2026, 03:33 PM
Security Audit — agent-trust-hub — designing-federated-learning-architecture