anndata

Pass

Audited by Gen Agent Trust Hub on Sep 15, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTION
Full Analysis
  • [SAFE]: The skill follows established scientific programming best practices for using the AnnData library. The core capabilities described—data structure management, manipulation, and ecosystem integration—are legitimate and well-documented.
  • [EXTERNAL_DOWNLOADS]: The skill includes instructions and examples for fetching datasets from remote sources using standard libraries like urllib and fsspec. These are transparently described as part of scientific data ingestion workflows.
  • [INDIRECT_PROMPT_INJECTION]: The skill establishes an attack surface through its focus on reading external scientific data formats, though the risk is considered minimal in the context of scientific data processing.
  • Ingestion points: File reading functions such as read_h5ad, read_csv, read_zarr, and read_mtx as documented in references/io_operations.md.
  • Boundary markers: Not identified in the provided examples.
  • Capability inventory: File write operations (write_h5ad, write_zarr), network operations (urllib.request.urlretrieve, fsspec.get_mapper), and integration with scientific tools (scanpy, muon).
  • Sanitization: Not explicitly addressed beyond standard library parsing of scientific data formats.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 15, 2026, 02:41 PM