bio-data-visualization-matplotlib-fundamentals
Pass
Audited by Gen Agent Trust Hub on Oct 8, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTION
Full Analysis
- [EXTERNAL_DOWNLOADS]: The documentation references the installation of standard data science libraries, including
matplotlib,seaborn,numpy,pandas, andcmcrameri. These are well-established and trusted tools within the scientific research community. - [INDIRECT_PROMPT_INJECTION]: The skill is designed to ingest and visualize user-provided datasets.
- Ingestion points: Dataframes and matrices passed to plotting functions in
examples/matplotlib_phd.pyand referenced inSKILL.md. - Boundary markers: Not explicitly defined, as the skill operates on structured numeric or categorical data for plotting purposes.
- Capability inventory: The skill's capabilities are limited to rendering plots and writing them to the local file system using
fig.savefig(). It lacks network access, shell command execution, or sensitive file read operations. - Sanitization: The skill utilizes mature plotting libraries (matplotlib, seaborn) that do not evaluate input data as executable instructions.
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