scvi-tools
Pass
Audited by Gen Agent Trust Hub on Apr 9, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill provides instructions to install the 'scvi-tools' package and its CUDA-enabled variant using 'uv pip install'. These are official installation commands for a well-known, legitimate library in the bioinformatics community hosted on the Python Package Index (PyPI).
- [COMMAND_EXECUTION]: Code snippets demonstrate standard Python commands for data processing, model training, and visualization using established libraries such as scvi-tools, scanpy, PyTorch, and matplotlib. These operations are essential for the skill's stated purpose of single-cell omics analysis.
- [DATA_EXFILTRATION]: The skill includes code for saving and loading trained models using 'model.save()' and 'model.load()'. These are standard file system operations for model persistence and do not involve unauthorized data transmission.
- [SAFE]: All referenced external documentation links point to the official scvi-tools domain (docs.scvi-tools.org), which is a trusted resource for this software.
Audit Metadata