faker-data-generation
Pass
Audited by Gen Agent Trust Hub on Mar 8, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns or security vulnerabilities were identified in the skill instructions or provided scripts. The skill is dedicated to generating synthetic data for testing Databricks pipelines.
- [SAFE]: The skill uses well-known and reputable Python libraries, including Faker, NumPy, and Pandas, which are standard for data engineering tasks.
- [SAFE]: Data generation logic incorporates reliability best practices, such as mandatory seeding for reproducibility and type-casting of input parameters obtained from external sources like Databricks widgets.
Audit Metadata