scvi-tools
Pass
Audited by Gen Agent Trust Hub on Mar 31, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a high-quality educational resource for the scvi-tools library. All code snippets demonstrate legitimate scientific analysis workflows including data preprocessing, model training, and differential expression analysis.
- [EXTERNAL_DOWNLOADS]: The skill mentions installation of 'scvi-tools' via pip. This is a well-known, legitimate Python package for genomics. The provided links point to the official documentation and tutorial sites (docs.scvi-tools.org).
- [COMMAND_EXECUTION]: The shell commands included are restricted to standard package installations (
uv pip install). No suspicious shell execution or privilege escalation attempts were found. - [DATA_EXFILTRATION]: No network exfiltration or sensitive data access patterns were observed. The data processing occurs on local genomic datasets (AnnData objects) as is standard for the domain.
Audit Metadata