skills/zaoqu-liu/scienceclaw/deepchem/Gen Agent Trust Hub

deepchem

Pass

Audited by Gen Agent Trust Hub on Apr 16, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious patterns, obfuscation, or unauthorized data access attempts were detected in the provided skill file. The content focuses exclusively on the legitimate use of the DeepChem library for scientific research.
  • [EXTERNAL_DOWNLOADS]: The skill recommends installing the 'deepchem' library and its associated dependencies (e.g., [torch], [all]) from official package registries using standard tools. This is expected behavior for a technical library skill.
  • [EXTERNAL_DOWNLOADS]: The skill references pre-trained models from Hugging Face (e.g., 'seyonec/ChemBERTa-zinc-base-v1'), which is an established and well-known service for machine learning models.
  • [COMMAND_EXECUTION]: The provided Python code snippets demonstrate standard, safe usage of the DeepChem API for loading data, featurizing molecules, and training machine learning models.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 16, 2026, 08:25 AM