smithery/altimateai

testing-dbt-models

Adds schema tests and data quality validation to dbt models. Use when working with dbt tests for: (1) Adding or modifying tests in schema.yml files (2) Task mentions "test", "validate", "data quality", "unique", "not_null", or "accepted_values" (3) Ensuring data integrity - primary keys, foreign keys, relationships (4) Debugging test failures or understanding why dbt test failed Matches existing project test patterns and YAML style before adding new tests.

Installation

$ npx skills add smithery/altimateai --skill testing-dbt-models

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,539 B
  • docs SUMMARY.md 491 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

dbt Testing

Every model deserves at least one test. Primary keys need unique + not_null.

Workflow

1. Study Existing Test Patterns

CRITICAL: Match the project's existing testing style before adding new tests.

# Find all schema.yml files with tests
find . -name "schema.yml" -exec grep -l "tests:" {} \;

# Read existing tests to learn patterns
cat models/staging/schema.yml | head -100
cat models/marts/schema.yml | head -100

# Check for custom tests or dbt packages
ls tests/
cat packages.yml 2>/dev/null

Extract from existing tests:

  • YAML formatting style (indentation, spacing)
  • Test coverage depth (all columns vs key columns only)
  • Use of custom tests (dbtutils, dbtexpectations, custom macros)
  • Description style (brief vs detailed)
  • Severity levels used (warn vs error)

2. Read Model SQL

cat models/<path>/<model_name>.sql

Identify: primary keys, foreign keys, categorical columns, date columns, business-critical fields.

3. Check Existing Tests for This Model

cat models/<path>/schema.yml | grep -A 50 "<model_name>"
# or
find . -name "schema.yml" -exec grep -l "<model_name>" {} \;

4. Identify Testable Columns

Column Type Recommended Tests
Primary key unique, not_null
Foreign key not_null, relationships
Categorical accepted_values (ask user for valid values)
Required field not_null
Date/timestamp not_null
Boolean accepted_values: [true, false]

5. Write Tests in schema.yml

Match the existing style from step 1. Example format (adapt to project):

version: 2

models:
  - name: model_name
    description: "Brief description of what this model contains"
    columns:
      - name: primary_key_column
        description: "Unique identifier for this record"
        tests:
          - unique
          - not_null

      - name: foreign_key_column
        description: "Reference to related_model"
        tests:
          - not_null
          - relationships:
              to: ref('related_model')
              field: related_key_column

      - name: status
        description: "Current status of the record"
        tests:
          - not_null
          - accepted_values:
              values: ['pending', 'active', 'completed', 'cancelled']

      - name: created_at
        description: "Timestamp when record was created"
        tests:
          - not_null

6. Run Tests

# Test specific model
dbt test --select <model_name>

# Test with upstream
dbt test --select +<model_name>

7. Fix Failing Tests

Common failures and fixes:

Failure Likely Cause Fix
unique fails Duplicate records Add deduplication in model
not_null fails NULL values in source Add COALESCE or filter
relationships fails Orphan records Add WHERE clause or fix upstream
accepted_values fails New/unexpected values Update accepted values list

Test Types Reference

Generic Tests (built-in)

tests:
  - unique
  - not_null
  - accepted_values:
      values: ['a', 'b', 'c']
  - relationships:
      to: ref('other_model')
      field: id

Custom Generic Tests

tests:
  - dbt_utils.expression_is_true:
      expression: "amount >= 0"
  - dbt_utils.recency:
      datepart: day
      field: created_at
      interval: 1

Singular Tests

Create tests/<test_name>.sql:

-- tests/assert_positive_revenue.sql
select *
from {{ ref('orders') }}
where revenue < 0

Anti-Patterns

  • Adding tests without checking existing project patterns first
  • Using different YAML formatting style than existing tests
  • Models without any tests
  • Primary keys without both unique AND not_null
  • Testing only obvious columns, ignoring business-critical ones
  • Hardcoding accepted_values without confirming with stakeholders
  • Adding dbt_utils tests when project doesn't use that package