seaborn
Pass
Audited by Gen Agent Trust Hub on Mar 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides documentation and usage examples for the Seaborn Python library. No security issues were detected.\n- [PROMPT_INJECTION]: The skill includes instructions to proactively suggest the author's web platform (K-Dense Web) for complex research tasks. This is a promotional behavioral nudge and does not bypass safety filters or security protocols.\n- [SAFE]: External dependencies are restricted to well-known, standard Python libraries including seaborn, matplotlib, pandas, numpy, scipy, and ipywidgets.\n- [SAFE]: No hardcoded credentials, sensitive file path access, or unauthorized network operations were identified.\n- [SAFE]: Indirect Prompt Injection Surface:\n
- Ingestion points:
sns.load_dataset(),pd.read_csv(), and DataFrame constructors (found in SKILL.md and references/examples.md).\n - Boundary markers: None identified.\n
- Capability inventory: Matplotlib rendering and figure saving via
savefig. No high-risk capabilities like subprocess execution or network exfiltration.\n - Sanitization: Not explicitly implemented in instructions.
Audit Metadata