huggingface-transformers

Pass

Audited by Gen Agent Trust Hub on Oct 23, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and process model identifiers and revision hashes from external sources such as environment variables (HF_MODEL_ID, HF_REVISION) to load machine learning assets.
  • Ingestion points: Environment variables accessed in gpt.md and configuration strings in SKILL.md.
  • Capability inventory: Uses the transformers library to download and load weights/code, which involves network access and file system operations.
  • Boundary markers: The instructions explicitly mandate pinning revisions and using safetensors to ensure the integrity of the loaded assets.
  • Sanitization: No explicit validation or filtering of the model identifiers is performed before they are passed to the loading functions.
  • [EXTERNAL_DOWNLOADS]: The skill fetches model configurations, tokenizers, and weights from Hugging Face's official repository. Hugging Face is a well-known service for machine learning models. The skill mitigates risks by recommending the use of pinned commit SHAs for revisions and the safetensors format to avoid the security risks associated with unpickling untrusted model weights.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 23, 2026, 11:48 PM