single-cell-scrna-seq-analysis-scanpy
Pass
Audited by Gen Agent Trust Hub on Mar 25, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill describes a legitimate bioinformatics workflow using well-known Python libraries (Scanpy, AnnData, Pandas). All operations described (data filtering, normalization, clustering) are standard practices in transcriptomics.
- [SAFE]: Dependencies listed in the requirements (scanpy, anndata, etc.) are standard, well-maintained packages from official registries.
- [PROMPT_INJECTION]: Potential surface for Indirect Prompt Injection (Category 8). Ingestion points: Data loading via sc.read_10x_mtx and sc.read_csv in SKILL.md. Boundary markers: Absent. Capability inventory: File writing (adata.write) and local script execution (scripts/qc_analysis.py). Sanitization: Relies on standard library parsing of scientific data formats. This finding is assessed as safe given the specific context of scientific data processing.
Audit Metadata