bio-spatial-transcriptomics-spatial-domains
Pass
Audited by Gen Agent Trust Hub on Aug 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides instructions for using well-known scientific Python packages including
squidpy,scanpy, andscikit-learn. These are standard tools in the bioinformatics community. - [SAFE]: The provided code in
examples/detect_domains.pydemonstrates a legitimate analysis pipeline, including data normalization, PCA, and spatial clustering using neighbor-augmented features. The use ofsq.datasets.visium_hne_adata()is a standard method for loading tutorial data from official library sources. - [SAFE]: No evidence of prompt injection, base64 obfuscation, or hidden commands was found in the markdown or python files. The instructions focus purely on biological domain segmentation and parameter tuning.
- [SAFE]: The skill does not attempt to access sensitive system files, environment variables, or establish unauthorized network connections. All external package recommendations (
banksy_py,STAGATE_pyG) are legitimate research tools.
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