single-cell-clustering-and-batch-correction-with-omicverse

Pass

Audited by Gen Agent Trust Hub on Mar 10, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill implements standard scientific workflows for single-cell RNA sequencing analysis, including quality control, normalization, and clustering.
  • [SAFE]: All identified Python dependencies (omicverse, scanpy, scvelo, scib-metrics) are reputable and widely used in the bioinformatics community.
  • [SAFE]: File operations are limited to reading and writing AnnData (.h5ad) files, which is the standard format for this type of analysis.
  • [SAFE]: No patterns of prompt injection, code obfuscation, or suspicious network activity were detected.
  • [SAFE]: Use of external data is limited to official demo datasets from the 'scvelo' library or user-provided local files.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 10, 2026, 10:10 AM