scientific-visualization
Pass
Audited by Gen Agent Trust Hub on Feb 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE] (SAFE): No malicious patterns or security vulnerabilities were identified in the analyzed files. The provided Python script and documentation are solely focused on scientific data visualization best practices.
- [COMMAND_EXECUTION] (SAFE): The Python script and markdown files do not contain any arbitrary command execution or suspicious subprocess calls. Code snippets are limited to standard library usage for plotting.
- [DATA_EXFILTRATION] (SAFE): There are no network operations or access to sensitive local files detected. External URLs provided are legitimate resources for color accessibility and journal guidelines.
- [REMOTE_CODE_EXECUTION] (SAFE): No remote scripts are downloaded or executed. All dependencies referenced are standard visualization libraries.
Audit Metadata