bio-data-visualization-distribution-plots

Pass

Audited by Gen Agent Trust Hub on Oct 8, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill focuses on providing best practices and code examples for distribution plots (raincloud plots, violins, beeswarms) in R (ggplot2) and Python (Seaborn). The content is educational and aligns with scientific publication standards.
  • [EXTERNAL_DOWNLOADS]: The documentation references standard package managers (pip, install.packages) and includes a commented-out reference to installing the introdataviz package from a public GitHub repository. These are standard development practices for the scientific ecosystem and do not involve suspicious sources or execution methods.
  • [DATA_EXPOSURE]: No hardcoded credentials, sensitive file paths, or unauthorized network operations were detected. The file-writing operation (ggsave) is limited to saving a PDF plot to the local working directory.
  • [PROMPT_INJECTION]: The instructions do not contain attempts to bypass agent safety filters or override system prompts. Phrases such as "The Single Most Important Modern Insight" are used in an instructional context regarding statistical visualization techniques.
  • [INDIRECT_PROMPT_INJECTION]: The skill operates on continuous numeric data provided by the user for plotting. While it ingests external data, it does not perform operations (like command execution or network exfiltration) that would represent a significant injection risk surface beyond standard data visualization.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 8, 2026, 12:03 PM