scientific-visualization
Pass
Audited by Gen Agent Trust Hub on Jun 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns, prompt injections, or security vulnerabilities were detected in the skill's instructions, documentation, or scripts.
- [EXTERNAL_DOWNLOADS]: The skill utilizes well-known, reputable Python libraries (matplotlib, seaborn, plotly, numpy, pandas, scipy, PyPDF2, kaleido) for scientific computing and visualization. No unverifiable or suspicious external dependencies are referenced.
- [COMMAND_EXECUTION]: The provided Python scripts do not invoke any shell commands or execute arbitrary code. Operations are limited to data processing and figure rendering within the Python environment.
- [DATA_EXFILTRATION]: No network operations or data exfiltration patterns were found. The skill's file system access is restricted to saving generated figure files locally as requested by the user.
Audit Metadata