anndata-data-structure

Pass

Audited by Gen Agent Trust Hub on Apr 28, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No security threats or malicious patterns were detected in the skill instructions or reference files. The skill correctly follows documentation best practices for the bioinformatics domain.
  • [COMMAND_EXECUTION]: The skill includes legitimate pip install commands for installing well-known scientific libraries (e.g., anndata, scanpy, zarr) from official registries. No unauthorized or suspicious command execution patterns were found.
  • [EXTERNAL_DOWNLOADS]: Dependencies listed are standard, versioned packages from the PyPI ecosystem, used specifically for genomic data analysis. Remote URLs point to official documentation and trusted DOI repositories.
  • [DATA_EXPOSURE]: Code examples demonstrate reading and writing scientific data to local and cloud storage. Cloud configuration patterns for S3 and GCS correctly use placeholders for credentials rather than hardcoded secrets, adhering to safe secret management practices.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 28, 2026, 02:12 PM