transformers-huggingface

Pass

Audited by Gen Agent Trust Hub on Feb 15, 2026

Risk Level: LOW
Full Analysis
  • SAFE (SAFE): No malicious patterns or security vulnerabilities were detected in the skill instructions or code examples.
  • Dependencies (LOW): The listed dependencies (transformers, datasets, tokenizers, accelerate, peft, bitsandbytes, safetensors, evaluate) are standard, well-maintained libraries from the Hugging Face organization, which is a trusted source in the machine learning community.
  • Model Security (INFO): The skill mentions safetensors, which is a security-focused format for storing model weights that prevents arbitrary code execution during loading.
  • Authentication (INFO): Mentions handling private models and authentication (e.g., push_to_hub), which are standard operations for the Hugging Face ecosystem and are described as best practices rather than insecure credential handling.
Audit Metadata
Risk Level
LOW
Analyzed
Feb 15, 2026, 09:50 PM