dataviz-skills

Pass

Audited by Gen Agent Trust Hub on Mar 31, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The content consists of documentation and copy-paste-ready code templates for standard scientific visualization libraries such as Matplotlib, Seaborn, and Plotly. It includes best practices for academic formatting and color accessibility.
  • [EXTERNAL_DOWNLOADS]: Several guides include instructions for cloning and installing well-known open-source platforms like Algorithm Visualizer, Redash, and Metabase. These references target reputable repositories on GitHub and official package registries.
  • [COMMAND_EXECUTION]: The skills provide shell commands for Docker deployments and Node.js package installations (e.g., npm install, docker run). These are documented as manual setup steps for the user to configure their research environment and are not designed for silent or malicious execution by the agent.
  • [DATA_EXFILTRATION]: No evidence of unauthorized data access or exfiltration. The guides correctly demonstrate the use of environment variables for managing credentials (e.g., $METABASE_DB_USER, os.environ["REDASH_API_KEY"]) which aligns with secure development practices.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 31, 2026, 10:16 PM