cellxgene-census
Query the CZ CELLxGENE Census programmatically for versioned public single-cell and spatial transcriptomics data. Use when you need population-scale cell metadata, gene expression slices, Census summary counts, source H5AD URIs/downloads, embeddings, spatial Census data, or reference atlas comparisons across organisms, tissues, diseases, assays, and cell types. For analyzing your own local single-cell data use scanpy, anndata, or scvi-tools.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
The required workflow uses the public CELLxGENE Census/TileDB-SOMA dataset contents (e.g., `census_info` tables and cell/feature metadata accessed via `get_obs`/`get_anndata`/`axis_query`) which are outsider-authored free-text fields like `cell_type`, `tissue_general`, and `disease`, and those values are read into the LLM-visible execution context (dataframes/strings) at runtime.
- Repository
- K-Dense-AI/scientific-agent-skills
- Commit
757b63b
- Audited
- Security analysis
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