transformers
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSDATA_EXFILTRATION
Full Analysis
- SAFE (SAFE): No malicious behavior, prompt injections, or obfuscation were detected. The skill is consistent with its stated purpose of providing documentation for the Transformers library.
- Unverifiable Dependencies & Remote Code Execution (SAFE): The skill identifies and uses standard, highly reputable Python packages from the Hugging Face and PyTorch ecosystems. All package installations use established registries.
- Data Exposure & Exfiltration (SAFE): Authentication guidelines correctly follow official Hugging Face Hub methods without hardcoding secrets or creating unauthorized network connections. No sensitive file access was detected.
- Dynamic Execution (SAFE): The documentation correctly identifies and recommends the use of the
safetensorsformat for model loading and saving, which is a security best practice to prevent arbitrary code execution during model deserialization.
Audit Metadata