ds-analysis-authoring
Pass
Audited by Gen Agent Trust Hub on Aug 19, 2026
Risk Level: SAFE
Full Analysis
- Analysis Authoring Conventions: The skill provides high-level instructions for organizing data science deliverables, ensuring that notebooks and dashboards are structured deliberately. This is purely instructional and does not involve automated code execution.
- Data Management and Security Practices: The guidelines emphasize secure practices such as parameterizing data loading paths and avoiding the use of environment-specific absolute paths, which helps prevent accidental path disclosure.
- Separation of Concerns: The skill maintains clear ownership boundaries, deferring data persistence, versioning, and column semantics to specialized systems (e.g.,
ds-dataops,ds-catalog), which reduces the risk of unauthorized data manipulation within the analysis context. - Accessibility Standards: The instructions include specific requirements for colorblind-safe palettes and multi-channel encoding for visualizations, promoting inclusive and safe information display practices.
- Resource Management: The dashboard guidelines provide clear instructions for caching serializable results versus global resources, which is a standard practice for maintaining session integrity and performance without compromising data safety.
Audit Metadata