Merge feat/373-data-integrity-audit-skill
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plugins/data-platform/skills/data-integrity-audit.md
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plugins/data-platform/skills/data-integrity-audit.md
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---
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name: data-integrity-audit
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description: Rules and patterns for auditing data integrity, schema validity, and dbt compliance
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---
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# Data Integrity Audit
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## Purpose
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Defines what "data valid" means for the data-platform domain. This skill is loaded by the `data-advisor` agent for both review and gate modes during sprint execution and standalone audits.
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---
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## What to Check
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| Check Category | What It Validates | MCP Tools Used |
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|----------------|-------------------|----------------|
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| **Schema Validity** | Tables exist, columns have correct types, constraints present, no orphaned columns | `pg_tables`, `pg_columns`, `pg_schemas` |
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| **dbt Project Health** | Project parses without errors, models compile, tests defined for critical models | `dbt_parse`, `dbt_compile`, `dbt_test`, `dbt_ls` |
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| **Lineage Integrity** | No orphaned models (referenced but missing), no circular dependencies, upstream sources exist | `dbt_lineage`, `dbt_ls` |
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| **Data Type Consistency** | DataFrame dtypes match expected schema, no silent type coercion, date formats consistent | `describe`, `head`, `pg_columns` |
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| **PostGIS Compliance** | Spatial tables have correct SRID, geometry types match expectations, extent is reasonable | `st_tables`, `st_geometry_type`, `st_srid`, `st_extent` |
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| **Query Safety** | SELECT queries used for reads (not raw SQL for mutations), parameterized patterns | Code review - manual pattern check |
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---
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## Common Violations
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### FAIL-Level Violations (Block Gate)
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| Violation | Detection Method | Example |
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|-----------|-----------------|---------|
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| dbt parse failure | `dbt_parse` returns error | Project YAML invalid, missing ref targets |
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| dbt compilation error | `dbt_compile` fails | SQL syntax error, undefined column reference |
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| Missing table/column | `pg_tables`, `pg_columns` lookup | Code references `census_raw` but table doesn't exist |
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| Type mismatch | Compare `pg_columns` vs dbt schema | Column is `varchar` in DB but model expects `integer` |
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| Broken lineage | `dbt_lineage` shows orphaned refs | Model references `stg_old_format` which doesn't exist |
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| PostGIS SRID mismatch | `st_srid` returns unexpected value | Geometry column has SRID 0 instead of 4326 |
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| Unreasonable spatial extent | `st_extent` returns global bbox | Toronto data shows coordinates in China |
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### WARN-Level Violations (Report, Don't Block)
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| Violation | Detection Method | Example |
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|-----------|-----------------|---------|
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| Missing dbt tests | `dbt_ls` shows model without test | `dim_customers` has no `unique` test on `customer_id` |
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| Undocumented columns | dbt schema.yml missing descriptions | Model columns have no documentation |
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| Schema drift | `pg_columns` vs dbt schema.yml | Column exists in DB but not in dbt YAML |
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| Hardcoded SQL | Scan Python for string concatenation | `f"SELECT * FROM {table}"` without parameterization |
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| Orphaned model | `dbt_lineage` shows no downstream | `stg_legacy` has no consumers and no exposure |
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### INFO-Level Violations (Suggestions Only)
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| Violation | Detection Method | Example |
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|-----------|-----------------|---------|
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| Missing indexes | Query pattern suggests need | Frequent filter on non-indexed column |
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| Documentation gaps | dbt docs incomplete | Missing model description |
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| Unused models | `dbt_ls` vs actual queries | Model exists but never selected |
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| Optimization opportunity | `describe` shows data patterns | Column has low cardinality, could be enum |
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---
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## Severity Classification
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| Severity | When to Apply | Gate Behavior |
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|----------|--------------|---------------|
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| **FAIL** | Broken lineage, models that won't compile, missing tables/columns, data type mismatches that cause runtime errors, invalid SRID | Blocks issue completion |
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| **WARN** | Missing dbt tests, undocumented columns, schema drift, hardcoded SQL, orphaned models | Does NOT block gate, included in review report |
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| **INFO** | Optimization opportunities, documentation gaps, unused models | Review report only |
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### Severity Decision Tree
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```
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Is the dbt project broken (parse/compile fails)?
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YES -> FAIL
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NO -> Does code reference non-existent tables/columns?
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YES -> FAIL
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NO -> Would this cause a runtime error?
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YES -> FAIL
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NO -> Does it violate data quality standards?
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YES -> WARN
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NO -> Is it an optimization/documentation suggestion?
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YES -> INFO
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NO -> Not a violation
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```
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---
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## Scanning Strategy
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### For dbt Projects
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1. **Parse validation** (ALWAYS FIRST)
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```
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dbt_parse → if fails, immediate FAIL (project is broken)
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```
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2. **Catalog resources**
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```
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dbt_ls → list all models, tests, sources, exposures
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```
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3. **Lineage check**
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```
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dbt_lineage on changed models → check upstream/downstream integrity
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```
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4. **Compilation check**
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```
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dbt_compile on changed models → verify SQL renders correctly
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```
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5. **Test execution**
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```
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dbt_test --select <changed_models> → verify tests pass
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```
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6. **Test coverage audit**
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```
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Cross-reference dbt_ls tests against model list → flag models without tests (WARN)
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```
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### For PostgreSQL Schema Changes
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1. **Table verification**
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```
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pg_tables → verify expected tables exist
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```
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2. **Column validation**
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```
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pg_columns on affected tables → verify types match expectations
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```
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3. **Schema comparison**
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```
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Compare pg_columns output against dbt schema.yml → flag drift
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```
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### For PostGIS/Spatial Data
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1. **Spatial table scan**
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```
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st_tables → list tables with geometry columns
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```
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2. **SRID validation**
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```
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st_srid → verify SRID is correct for expected region
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Expected: 4326 (WGS84) for GPS data, local projections for regional data
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```
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3. **Geometry type check**
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```
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st_geometry_type → verify expected types (Point, Polygon, etc.)
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```
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4. **Extent sanity check**
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```
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st_extent → verify bounding box is reasonable for expected region
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Toronto data should be ~(-79.6 to -79.1, 43.6 to 43.9)
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```
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### For DataFrame/pandas Operations
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1. **Data quality check**
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```
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describe → check for unexpected nulls, type issues, outliers
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```
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2. **Structure verification**
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```
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head → verify data structure matches expectations
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```
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3. **Memory management**
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```
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list_data → verify no stale DataFrames from previous failed runs
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```
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### For Python Code (Manual Scan)
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1. **SQL injection patterns**
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- Scan for f-strings with table/column names
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- Check for string concatenation in queries
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- Look for `.format()` calls with SQL
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2. **Mutation safety**
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- `pg_execute` usage should be intentional, not accidental
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- Verify DELETE/UPDATE have WHERE clauses
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3. **Credential exposure**
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- No hardcoded connection strings
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- No credentials in code (check for `.env` usage)
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---
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## Report Templates
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### Gate Mode (Compact)
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```
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DATA GATE: PASS
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No blocking data integrity violations found.
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```
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or
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```
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DATA GATE: FAIL
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Blocking Issues (N):
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1. <location> - <violation description>
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Fix: <actionable fix>
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2. <location> - <violation description>
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Fix: <actionable fix>
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Run /data-review for full audit report.
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```
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### Review Mode (Detailed)
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```
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+----------------------------------------------------------------------+
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| DATA-PLATFORM - Data Integrity Audit |
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| [Target Path] |
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+----------------------------------------------------------------------+
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Target: <scanned path or project>
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Scope: N files scanned, N models checked, N tables verified
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FINDINGS
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FAIL (N)
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1. [location] violation description
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Fix: actionable fix
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2. [location] violation description
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Fix: actionable fix
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WARN (N)
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1. [location] warning description
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Suggestion: improvement suggestion
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2. [location] warning description
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Suggestion: improvement suggestion
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INFO (N)
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1. [location] info description
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Note: context
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SUMMARY
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Schema: Valid | N issues
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Lineage: Intact | N orphaned
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dbt: Passes | N failures
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PostGIS: Valid | N issues | Not applicable
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VERDICT: PASS | FAIL (N blocking issues)
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```
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---
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## Skip Patterns
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Do not flag violations in:
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- `**/tests/**` - Test files may have intentional violations
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- `**/__pycache__/**` - Compiled files
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- `**/fixtures/**` - Test fixtures
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- `**/.scratch/**` - Temporary working files
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- Files with `# noqa: data-audit` comment
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- Migration files marked as historical
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---
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## Error Handling
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| Scenario | Behavior |
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|----------|----------|
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| Database not reachable (`pg_connect` fails) | WARN, skip PostgreSQL checks, continue with file-based |
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| dbt not configured (no `dbt_project.yml`) | Skip dbt checks entirely, not an error |
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| No PostGIS tables found | Skip PostGIS checks, not an error |
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| MCP tool call fails | Report as WARN with tool name, continue with remaining checks |
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| No data files in scanned path | Report "No data artifacts found" - PASS (nothing to fail) |
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| Empty directory | Report "No files found in path" - PASS |
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---
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## Integration Notes
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### projman Orchestrator
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When called as a domain gate:
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1. Orchestrator detects `Domain/Data` label on issue
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2. Orchestrator identifies changed files
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3. Orchestrator invokes `/data-gate <path>`
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4. Agent runs gate mode scan
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5. Returns PASS/FAIL to orchestrator
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6. Orchestrator decides whether to complete issue
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### Standalone Usage
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For manual audits:
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1. User runs `/data-review <path>`
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2. Agent runs full review mode scan
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3. Returns detailed report with all severity levels
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4. User decides on actions
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