answering-natural-language-questions-with-dbt
answering-natural-language-questions-with-dbt is a SQL analytics & reporting skill for AI agents, published by dbt-labs in the dbt-agent-skills repository on GitHub. Skillspace rates answering-natural-language-questions-with-dbt D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Writes and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions. Use when a user asks about analytics, metrics, KPIs, or data (e.g., "What were total sales last quarter?", "Show me top customers by revenue"). NOT for validating, testing, or building dbt models during development.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 709
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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