bio-data-visualization-statistical-annotation

Pass

Audited by Gen Agent Trust Hub on Oct 8, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill facilitates the processing of external user datasets for statistical visualization, which creates a potential surface for indirect prompt injection if those datasets contain malicious natural language instructions.
  • Ingestion points: User-provided dataframes (e.g., df, df_paired, df_nested in examples/statanno_phd.R and SKILL.md) are ingested by visualization functions such as ggboxplot in R and sns.boxplot in Python.
  • Boundary markers: The skill instructions do not specify or implement boundary markers or instructions to ignore potential commands embedded within data fields.
  • Capability inventory: The skill exhibits file-writing capabilities via ggsave in R and utilizes standard package management tools like pip and install.packages for environment setup.
  • Sanitization: The provided templates do not include data validation or sanitization steps to filter for prompt injection strings within the processed categorical or numerical data.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 8, 2026, 12:04 PM