Security audit
Security checks across malware telemetry and agentic risk
This is a local single-cell analysis skill that reads a user-provided AnnData file and writes expected local results, with no evidence of hidden access, exfiltration, persistence, or destructive behavior.
Install in an isolated Python environment, use only AnnData files you are allowed to analyze, and send outputs to a controlled directory. Review generated CSV, JSON, plots, and .h5ad files before sharing because they may include cell IDs, annotations, or sample-derived metadata. Treat automatically inferred roots, lineages, and pseudotime values as exploratory results requiring biological validation.
scanpy>=1.9.0 anndata>=0.8.0 matplotlib>=3.5.0 seaborn>=0.12.0
scanpy>=1.9.0 anndata>=0.8.0 matplotlib>=3.5.0 seaborn>=0.12.0 numpy>=1.21.0
scanpy>=1.9.0 anndata>=0.8.0 matplotlib>=3.5.0 seaborn>=0.12.0 numpy>=1.21.0 pandas>=1.3.0
scanpy>=1.9.0 anndata>=0.8.0 matplotlib>=3.5.0 seaborn>=0.12.0 numpy>=1.21.0 pandas>=1.3.0 scipy>=1.7.0
anndata>=0.8.0 matplotlib>=3.5.0 seaborn>=0.12.0 numpy>=1.21.0 pandas>=1.3.0 scipy>=1.7.0 scikit-learn>=1.0.0
matplotlib>=3.5.0 seaborn>=0.12.0 numpy>=1.21.0 pandas>=1.3.0 scipy>=1.7.0 scikit-learn>=1.0.0
seaborn>=0.12.0 numpy>=1.21.0 pandas>=1.3.0 scipy>=1.7.0 scikit-learn>=1.0.0
numpy>=1.21.0 pandas>=1.3.0 scipy>=1.7.0 scikit-learn>=1.0.0
63/63 vendors flagged this skill as clean.
No suspicious patterns detected.
