alterlab-scientific-viz

Pass

Audited by Gen Agent Trust Hub on Apr 12, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides templates and helper scripts for scientific data visualization using standard libraries such as Matplotlib and Seaborn.\n
  • Evidence: Found in SKILL.md and references/matplotlib_examples.md.\n- [SAFE]: The included Python scripts ('figure_export.py' and 'style_presets.py') implement expected functionality for figure formatting and file saving.\n
  • Evidence: Scripts are located in the scripts/ directory and perform standard file I/O operations for saving figures.\n- [SAFE]: All identified dependencies are standard, well-maintained packages in the scientific Python ecosystem.\n
  • Evidence: Packages include matplotlib, numpy, seaborn, pandas, scipy, and plotly.\n- [SAFE]: No suspicious patterns such as prompt injection, data exfiltration, or code obfuscation were detected.\n
  • Evidence: Analyzed SKILL.md, assets/, scripts/, and references/ directories.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 12, 2026, 12:46 AM
Security Audit — agent-trust-hub — alterlab-scientific-viz