alterlab-transformers
Pass
Audited by Gen Agent Trust Hub on Sep 25, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCREDENTIALS_UNSAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill installs verified machine learning dependencies, including
torch,transformers,datasets,evaluate,accelerate,timm,pillow,librosa, andsoundfilefrom official registries using theuvpackage manager. - [CREDENTIALS_UNSAFE]: Documentation correctly handles authentication by advising the use of environment variables (
HF_TOKEN) or interactive login prompts (huggingface_hub.login()), which avoids the risk of hardcoded credentials. - [INDIRECT_PROMPT_INJECTION]: The skill processes untrusted user-provided text, images, and audio through transformer models, which is an inherent behavior for machine learning tasks.
- Ingestion points: Untrusted inputs provided to the
pipeline()API and modelgenerate()methods across all documented scripts. - Boundary markers: No explicit delimiters or instructions to ignore embedded commands are included in the provided code snippets.
- Capability inventory: The skill is configured with
Read,Write,Edit, andBashpermissions to facilitate local model execution and file management. - Sanitization: No explicit input filtering or output validation logic is present in the inference examples.
Audit Metadata