bio-data-visualization-flow-and-transition-plots
Pass
Audited by Gen Agent Trust Hub on Oct 8, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill uses established, well-known data visualization libraries such as ggalluvial, networkD3, plotly, and consort from official registries (CRAN and PyPI).
- [SAFE]: Code examples follow standard data science practices for generating and saving plots to local files (PDF, HTML).
- [SAFE]: The use of JavaScript snippets in R (via networkD3) is a standard method for configuring D3.js visualization parameters and does not pose a security risk in this context.
- [SAFE]: All referenced external packages (kaleido, pySankey, webshot2) are legitimate tools for the stated purpose of static export and visualization.
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