tooluniverse-single-cell

Pass

Audited by Gen Agent Trust Hub on Mar 8, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADS
Full Analysis
  • [SAFE]: No security issues were identified. The skill performs legitimate bioinformatics operations and statistical analysis as described in its documentation. It utilizes vendor-owned ToolUniverse tools for gene annotation and enrichment, which are consistent with the functionality provided by the author mims-harvard.\n- [EXTERNAL_DOWNLOADS]: The skill relies on well-known, legitimate Python packages for genomics and data science, such as scanpy, anndata, leidenalg, umap-learn, harmonypy, gseapy, pandas, numpy, scipy, scikit-learn, statsmodels, and pydeseq2. These dependencies are essential for its stated functionality.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 8, 2026, 08:14 PM