spatial-transcriptomics-spatial-data-io
Pass
Audited by Gen Agent Trust Hub on Mar 25, 2026
Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
- [SAFE]: No malicious patterns, prompt injections, or obfuscated code were found in the skill. The logic follows best practices for bioinformatics data processing.
- [COMMAND_EXECUTION]: The skill implements standard Python-based file I/O operations using scanpy, squidpy, and spatialdata_io libraries to process local spatial transcriptomics datasets. These operations are limited to reading from input directories and writing to local files (h5ad, zarr).
- [EXTERNAL_DOWNLOADS]: The skill references an external source on GitHub for documentation and citations. All listed Python dependencies are standard, well-known libraries in the scientific and bioinformatics communities.
Audit Metadata