data-analytics-engineering
Pass
Audited by Gen Agent Trust Hub on Sep 23, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The
scripts/analytics_linter.pytool is implemented using only the Python standard library. It performs deterministic validation, linting, and reporting on local JSON files without any network operations, dynamic code execution, or external dependencies. - [EXTERNAL_DOWNLOADS]: The
data/sources.jsonfile contains references to documentation and blogs from trusted organizations and well-known services, including dbt Labs, the Linux Foundation, Snowflake, Databricks, and Vercel. These references are used for providing current market context and technical guidelines. - [INDIRECT_PROMPT_INJECTION]: The skill exhibits a data ingestion surface in
scripts/analytics_linter.py, which processes user-provided JSON metric dictionaries to generate Markdown reports. While the report output includes user-supplied strings (such as metric descriptions), the script's logic is purely deterministic and does not involve any shell execution, network calls, or unsafe interpolation that would enable an attack.
Audit Metadata