Skip to content
Back to skills

Testing Dbt Models

ASecurity

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.

  • 124 stars
  • 0 votes
  • 0 copies
  • 1 view
  • Added February 7, 2026
testinggobashsqlexpresstestingdebugging

Security analysis

A100/100

Scanned February 12, 2026

npx -y skills add AltimateAI/data-engineering-skills --skill testing-dbt-models --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Testing Dbt Models?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Testing Dbt Models
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/altimateai-testing-dbt-models/badge)](https://www.skillsdirectory.com/skills/altimateai-testing-dbt-models)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: testing-dbt-models
description: |
  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.
---

# 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.**

```bash
# 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 (dbt_utils, dbt_expectations, custom macros)
- Description style (brief vs detailed)
- Severity levels used (warn vs error)

### 2. Read Model SQL

```bash
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

```bash
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):**

```yaml
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

```bash
# 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)

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

### Custom Generic Tests

```yaml
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`:
```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

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…