scientific-visualization
Pass
Audited by Gen Agent Trust Hub on Jun 20, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate functionality for scientific data visualization and publication formatting. It does not exhibit any malicious patterns such as prompt injection, obfuscation, or privilege escalation.
- [EXTERNAL_DOWNLOADS]: The instructions and scripts reference well-known and trusted scientific Python libraries including matplotlib, seaborn, plotly, numpy, pandas, and scipy. It also suggests standard utilities like PyPDF2 and kaleido for specialized export tasks, all of which are standard in the research community.
- [DATA_EXFILTRATION]: No network operations or credential harvesting patterns were found. The skill does not access sensitive local file paths (like SSH keys or AWS credentials) and performs no external data transmission.
- [COMMAND_EXECUTION]: Shell command usage is absent. The provided Python scripts and examples focus on internal plotting logic and local file system operations (saving figures in scientific formats). No sub-processes or shell calls were detected in the helper scripts.
Audit Metadata