data-migration-validator
Validate data integrity during and after migration with comprehensive verification checks
Best use case
data-migration-validator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Validate data integrity during and after migration with comprehensive verification checks
Teams using data-migration-validator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/data-migration-validator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How data-migration-validator Compares
| Feature / Agent | data-migration-validator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Validate data integrity during and after migration with comprehensive verification checks
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Data Migration Validator Skill
Validates data integrity throughout the migration process with comprehensive verification checks and reconciliation reporting.
## Purpose
Enable data validation for:
- Row count validation
- Checksum verification
- Sample data comparison
- Referential integrity checking
- Business rule validation
## Capabilities
### 1. Row Count Validation
- Compare source/target counts
- Track by table/partition
- Identify discrepancies
- Generate count reports
### 2. Checksum Verification
- Calculate table checksums
- Compare hash values
- Identify data drift
- Verify data consistency
### 3. Sample Data Comparison
- Random sample selection
- Field-by-field comparison
- Statistical sampling
- Confidence scoring
### 4. Referential Integrity Checking
- Verify foreign keys
- Check orphaned records
- Validate relationships
- Report violations
### 5. Business Rule Validation
- Apply custom rules
- Check data constraints
- Verify transformations
- Validate calculations
### 6. Reconciliation Reporting
- Generate audit reports
- Track discrepancies
- Document exceptions
- Provide sign-off reports
## Tool Integrations
| Tool | Purpose | Integration Method |
|------|---------|-------------------|
| Great Expectations | Data validation | Library |
| dbt tests | Transform validation | CLI |
| Custom SQL | Database checks | CLI |
| DataGrip | Manual verification | GUI |
| Apache Griffin | Data quality | API |
## Output Schema
```json
{
"validationId": "string",
"timestamp": "ISO8601",
"results": {
"rowCounts": {
"tables": [
{
"name": "string",
"source": "number",
"target": "number",
"match": "boolean"
}
]
},
"checksums": {
"tables": [],
"overall": "string"
},
"samples": {
"checked": "number",
"matched": "number",
"discrepancies": []
},
"referentialIntegrity": {
"valid": "boolean",
"violations": []
},
"businessRules": {
"passed": "number",
"failed": "number",
"failures": []
}
},
"summary": {
"status": "passed|failed|warning",
"score": "number"
}
}
```
## Integration with Migration Processes
- **database-schema-migration**: Post-migration validation
- **cloud-migration**: Data validation
## Related Skills
- `schema-comparator`: Pre-migration comparison
- `etl-pipeline-builder`: Migration execution
## Related Agents
- `data-integrity-validator`: Orchestrates validation
- `database-migration-orchestrator`: Uses for verificationRelated Skills
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