popv-cell-annotation
Pass
Audited by Gen Agent Trust Hub on Oct 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and Python code examples for using the popV library to annotate single-cell RNA-seq datasets.
- [EXTERNAL_DOWNLOADS]: The skill recommends installing standard bioinformatics packages via pip (
popv,scvi-tools,harmonypy,bbknn,celltypist). These are well-known libraries in the scientific community. - [COMMAND_EXECUTION]: Code snippets use standard library functions for data processing and visualization within a scientific computing context. No dangerous system commands or privilege escalation attempts were found.
- [DATA_EXFILTRATION]: The skill operations are limited to local file system reads/writes of scientific data formats (.h5ad, .csv) and image files. No network exfiltration patterns were detected.
Audit Metadata