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_nestedinexamples/statanno_phd.RandSKILL.md) are ingested by visualization functions such asggboxplotin R andsns.boxplotin 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
ggsavein R and utilizes standard package management tools likepipandinstall.packagesfor 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