Best fit
Review a dbt project for test and documentation gaps.
// data engineering
dbt Test & Quality Auditor
Find the test and documentation gaps that let bad data ship—without running dbt or querying your warehouse.
Format: Agent skill, not a browser app. You need an AI agent that can load its instructions and use the required tools.
Package requirements: Agents that read the open SKILL.md format. Verify runtime and service requirements at the purchase or install destination.
You get: Findings on missing model tests, source freshness configuration, likely key tests and descriptions in the supplied project.
Licence and purchase details
Review the package licence at the destination.
Review the offer and access method at your chosen marketplace. Agensi provides connected-agent access, not a download. Buying a skill does not include an AI-agent subscription or setup service.
Agensi access: This product’s bundled-script workflow through Agensi has not been verified here. Tests of other products do not establish this package’s compatibility. Local setup examples apply to separately obtained downloadable packages.
What it does
- Flag models with no schema entry or unique/not_null tests.
- Find sources missing freshness configuration or tests.
- Review likely ID columns for missing unique or not_null coverage.
- Surface missing model descriptions and SELECT * usage.
- Catch raw table references that may need ref() or source().
- Produce severity-ranked findings and starter tests YAML for model and key-test gaps.
The scanner reads matching local dbt SQL and YAML files and reports heuristic findings with remediation guidance. Starter YAML is included only for missing model tests and likely-key test gaps; it is a reviewable template, not an automatic edit.
How to run
Get it on Agensi, point a SKILL.md-compatible agent at the dbt project directory, and run the bundled Python 3 standard-library scanner. No PyYAML install, dbt invocation, warehouse credentials, or network access is required.
Good to know
The scan is local, read-only, and heuristic. It can miss unusual YAML layouts, and YAML findings may use a general schema.yml location. Confirm every finding in project context before changing tests or model references.
// choose with context
Is dbt Test & Quality Auditor the right skill?
It returns
Findings on missing model tests, source freshness configuration, likely key tests and descriptions in the supplied project.
Do not use it as
Do not treat a successful run as proof beyond the supplied files, declared scope, and evidence the skill actually checked.
Compatibility, access, version, and licence
- Reads or accesses
- Only the files or context you deliberately provide; review the listing before granting additional access.
- Compatibility
- Agents that read the open SKILL.md format. Verify runtime and service requirements at the purchase or install destination.
- Version
- Verify the current package version at the linked destination.
- Licence
- Review the package licence and seller terms at the linked destination.
Questions
What does dbt Test & Quality Auditor do?
It scans local dbt SQL and YAML for missing model tests, source freshness and test gaps, likely-key coverage, missing model descriptions, SELECT *, and raw table references.
What does it need to run?
A SKILL.md-compatible agent, local read access to the target dbt files, and Python 3 for the bundled scanner. It does not run dbt or connect to a warehouse.
Add dbt Test & Quality Auditor to your toolkit.
Current price and purchase option are shown on Agensi. Use a supported agent connection on Agensi. Review the requirements above before getting started.
Get dbt Test & Quality Auditor on Agensi