anndata

Pass

Audited by Gen Agent Trust Hub on Jun 27, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill serves as a legitimate technical guide for the anndata library, a standard tool in the bioinformatics ecosystem. All provided code examples use standard Python libraries like numpy, pandas, and scanpy for scientific data processing.
  • [EXTERNAL_DOWNLOADS]: The documentation includes examples of loading data from URLs and cloud storage (S3, GCS) using established tools like fsspec. These operations are well-documented and essential for large-scale genomic data analysis.
  • [COMMAND_EXECUTION]: The installation instructions utilize uv pip install, which is a standard and safe method for managing Python package dependencies.
  • [NO_CODE]: The skill primarily consists of instructional content and reference documentation rather than complex executable scripts, minimizing the potential attack surface.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 27, 2026, 11:42 AM
Security Audit — agent-trust-hub — anndata