scvi-tools
Pass
Audited by Gen Agent Trust Hub on Jun 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill functions as a comprehensive reference guide for the
scvi-toolsecosystem, providing educational content and legitimate code snippets for genomic data analysis. - [EXTERNAL_DOWNLOADS]: Installation instructions use standard package managers to fetch
scvi-toolsand its dependencies from the official Python Package Index (PyPI). These are well-known libraries within the bioinformatics and data science communities. - [COMMAND_EXECUTION]: Shell commands are restricted to package installation (
uv pip install scvi-tools) and standard project management. The Python code examples demonstrate legitimate use of established libraries such asscanpy,torch, andscvelofor processing biological datasets.
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