scientific-visualization
Pass
Audited by Gen Agent Trust Hub on Jun 26, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: Analysis of the skill instructions, reference materials, and associated scripts reveals no malicious patterns or security vulnerabilities.
- [EXTERNAL_DOWNLOADS]: The skill utilizes well-known scientific Python libraries including Matplotlib, Seaborn, Plotly, NumPy, Pandas, and SciPy. No suspicious or unverified third-party dependencies or remote script executions are present.
- [COMMAND_EXECUTION]: Scripting is limited to standard data manipulation and figure generation. File system operations are restricted to saving visualization outputs as per user instructions.
- [DATA_EXFILTRATION]: No network activity or attempts to access sensitive system files (such as SSH keys or cloud credentials) were identified.
- [PROMPT_INJECTION]: The instructions are strictly focused on visualization workflows and do not contain patterns typical of prompt injection or attempts to override model safety behavior.
Audit Metadata