tools-only Verification Loop for Construction Automation
A systematic verification framework ensuring quality of construction automation outputs before delivery or deployment.
When to Use
Invoke this skill:
- After generating cost estimates
- After creating or updating schedules
- After processing BIM/CAD data
- After generating reports (daily, weekly, monthly)
- After running data pipelines
- Before submitting documents to clients
- Before deploying automation workflows
Verification Phases
Phase 1: Data Integrity Check
def verify_data_integrity(output: dict) -> VerificationResult:
"""Check data completeness and consistency"""
checks = []
# Completeness check
required_fields = get_required_fields(output['type'])
missing = [f for f in required_fields if f not in output]
checks.append({
'name': 'Completeness',
'status': 'PASS' if not missing else 'FAIL',
'details': f'Missing fields: {missing}' if missing else 'All required fields present'
})
# Consistency check
inconsistencies = find_inconsistencies(output)
checks.append({
'name': 'Consistency',
'status': 'PASS' if not inconsistencies else 'WARN',
'details': inconsistencies or 'No inconsistencies found'
})
# Referential integrity
broken_refs = check_references(output)
checks.append({
'name': 'Referential Integrity',
'status': 'PASS' if not broken_refs else 'FAIL',
'details': f'Broken references: {broken_refs}' if broken_refs else 'All references valid'
})
return VerificationResult(checks)
Data Integrity Checklist
- All required fields populated
- No duplicate records
- Foreign keys resolve correctly
- Date formats consistent
- Currency values formatted correctly
- Units of measure standardized
Phase 2: Business Logic Verification
def verify_business_logic(output: dict) -> VerificationResult:
"""Verify construction-specific business rules"""
checks = []
# Cost estimate checks
if output['type'] == 'cost_estimate':
# Verify totals match line items
calculated_total = sum(item['amount'] for item in output['line_items'])
declared_total = output['total']
variance = abs(calculated_total - declared_total)
checks.append({
'name': 'Total Accuracy',
'status': 'PASS' if variance < 0.01 else 'FAIL',
'details': f'Calculated: {calculated_total}, Declared: {declared_total}'
})
# Verify markup applied correctly
for item in output['line_items']:
expected_markup = item['base_cost'] * (1 + item['markup_rate'])
if abs(item['amount'] - expected_markup) > 0.01:
checks.append({
'name': f'Markup Check - {item["id"]}',
'status': 'FAIL',
'details': f'Expected: {expected_markup}, Got: {item["amount"]}'
})
# Schedule checks
if output['type'] == 'schedule':
# Verify dependencies
for task in output['tasks']:
for pred_id in task.get('predecessors', []):
pred = find_task(output['tasks'], pred_id)
if pred and pred['end_date'] > task['start_date']:
checks.append({
'name': f'Dependency Violation - {task["id"]}',
'status': 'FAIL',
'details': f'Task starts before predecessor {pred_id} ends'
})
# Verify resource allocation
resource_conflicts = find_resource_conflicts(output['tasks'])
checks.append({
'name': 'Resource Conflicts',
'status': 'PASS' if not resource_conflicts else 'WARN',
'details': resource_conflicts or 'No resource conflicts'
})
return VerificationResult(checks)
Business Logic Checklist
For Cost Estimates:
- Line item totals = declared subtotals
- Subtotals + markups = grand total
- Tax calculations correct
- Contingency applied consistently
- Unit prices within expected ranges
- Quantities match QTO
For Schedules:
- Dependencies respected (no backwards links)
- Critical path calculated correctly
- No resource over-allocation
- Milestones properly dated
- Working days/calendar correct
- Float values logical
For BIM Data:
- Element counts match expected
- Property values within ranges
- Spatial relationships valid
- Level associations correct
- Classification codes valid
Phase 3: Format & Standards Compliance
def verify_standards_compliance(output: dict) -> VerificationResult:
"""Verify compliance with construction standards"""
checks = []
# CSI classification check
if 'csi_codes' in output:
invalid_codes = []
for code in output['csi_codes']:
if not validate_csi_code(code):
invalid_codes.append(code)
checks.append({
'name': 'CSI Code Validation',
'status': 'PASS' if not invalid_codes else 'WARN',
'details': f'Invalid codes: {invalid_codes}' if invalid_codes else 'All codes valid'
})
# CWICR mapping check
if output.get('cwicr_mapped'):
unmapped = [item for item in output['items'] if not item.get('cwicr_id')]
checks.append({
'name': 'CWICR Mapping',
'status': 'PASS' if not unmapped else 'WARN',
'details': f'{len(unmapped)} items unmapped' if unmapped else 'All items mapped'
})
# Document format check
if output['type'] == 'report':
format_issues = validate_report_format(output)
checks.append({
'name': 'Report Format',
'status': 'PASS' if not format_issues else 'WARN',
'details': format_issues or 'Format compliant'
})
return VerificationResult(checks)
Standards Compliance Checklist
- CSI MasterFormat codes valid (6-digit)
- UniFormat codes valid (if used)
- CWICR mappings present
- ISO dates (YYYY-MM-DD)
- Currency format consistent
- Measurement units consistent (metric/imperial)
Phase 4: Output Quality Check
def verify_output_quality(output: dict) -> VerificationResult:
"""Check output quality and presentation"""
checks = []
# Formatting check
if output['format'] == 'excel':
checks.extend([
{
'name': 'Column Headers',
'status': check_headers_present(output),
'details': 'Headers in first row'
},
{
'name': 'Number Formatting',
'status': check_number_format(output),
'details': 'Currencies and percentages formatted'
},
{
'name': 'Print Area',
'status': check_print_area(output),
'details': 'Print area set for clean output'
}
])
if output['format'] == 'pdf':
checks.extend([
{
'name': 'Page Layout',
'status': check_page_layout(output),
'details': 'Margins and orientation correct'
},
{
'name': 'Images Rendered',
'status': check_images(output),
'details': 'All images/charts visible'
},
{
'name': 'Fonts Embedded',
'status': check_fonts(output),
'details': 'Fonts embedded for portability'
}
])
# Data visualization check
if 'charts' in output:
for chart in output['charts']:
checks.append({
'name': f'Chart - {chart["title"]}',
'status': validate_chart(chart),
'details': 'Labels, legends, and data visible'
})
return VerificationResult(checks)
Output Quality Checklist
- Headers/footers present
- Page numbers correct
- Company branding applied
- Charts readable
- Tables properly aligned
- Links/references working
Phase 5: Cross-Reference Validation
def verify_cross_references(output: dict, sources: list) -> VerificationResult:
"""Validate output against source data"""
checks = []
for source in sources:
# Compare key metrics
metrics = extract_comparable_metrics(output, source)
for metric_name, (output_val, source_val) in metrics.items():
variance_pct = abs(output_val - source_val) / source_val * 100 if source_val else 0
status = 'PASS'
if variance_pct > 5:
status = 'WARN'
if variance_pct > 10:
status = 'FAIL'
checks.append({
'name': f'{metric_name} vs {source["name"]}',
'status': status,
'details': f'Output: {output_val}, Source: {source_val}, Variance: {variance_pct:.1f}%'
})
return VerificationResult(checks)
Cross-Reference Checklist
- QTO matches BIM model
- Estimate matches specifications
- Schedule aligns with estimate
- Budget matches contract
- Progress matches field data
- Actuals match projections (within tolerance)
Verification Report Format
After running all phases, produce a verification report:
═══════════════════════════════════════════════════════════════
VERIFICATION REPORT
═══════════════════════════════════════════════════════════════
Output Type: Cost Estimate
Project: Downtown Office Tower
Generated: 2026-01-24 14:30:00
Verified By: DDC Verification Loop v1.0
───────────────────────────────────────────────────────────────
PHASE 1: DATA INTEGRITY
───────────────────────────────────────────────────────────────
✓ Completeness PASS All required fields present
✓ Consistency PASS No inconsistencies found
✓ Referential PASS All references valid
───────────────────────────────────────────────────────────────
PHASE 2: BUSINESS LOGIC
───────────────────────────────────────────────────────────────
✓ Total Accuracy PASS Calculated: $1,523,456.78, Declared: $1,523,456.78
✓ Markup Check PASS All markups applied correctly
⚠ Range Check WARN 3 items outside typical ranges
───────────────────────────────────────────────────────────────
PHASE 3: STANDARDS COMPLIANCE
───────────────────────────────────────────────────────────────
✓ CSI Codes PASS All codes valid
✓ CWICR Mapping PASS 156/156 items mapped
✓ Unit Standards PASS All units metric
───────────────────────────────────────────────────────────────
PHASE 4: OUTPUT QUALITY
───────────────────────────────────────────────────────────────
✓ Excel Format PASS Headers, formatting correct
✓ Charts PASS All visualizations rendered
✓ Print Ready PASS Print area configured
───────────────────────────────────────────────────────────────
PHASE 5: CROSS-REFERENCE
───────────────────────────────────────────────────────────────
✓ vs BIM QTO PASS Variance: 0.2%
✓ vs Historical PASS Within expected range
⚠ vs Budget WARN 5.3% over budget baseline
═══════════════════════════════════════════════════════════════
SUMMARY
═══════════════════════════════════════════════════════════════
Total Checks: 18
Passed: 16
Warnings: 2
Failed: 0
OVERALL STATUS: ✓ READY FOR DELIVERY
Recommendations:
1. Review items outside typical ranges (see Appendix A)
2. Discuss budget variance with PM before submission
═══════════════════════════════════════════════════════════════
Automated Verification Pipeline
class ConstructionVerificationPipeline:
"""Automated verification for construction outputs"""
def __init__(self, output_type: str):
self.output_type = output_type
self.phases = self._get_phases_for_type(output_type)
def verify(self, output: dict, sources: list = None) -> VerificationReport:
results = []
for phase in self.phases:
phase_result = phase.execute(output, sources)
results.append(phase_result)
# Stop on critical failure
if phase_result.has_critical_failure():
break
return VerificationReport(
output_type=self.output_type,
phases=results,
overall_status=self._calculate_overall_status(results)
)
def _calculate_overall_status(self, results: list) -> str:
if any(r.has_failures() for r in results):
return 'NOT READY - FIX REQUIRED'
if any(r.has_warnings() for r in results):
return 'READY WITH WARNINGS'
return 'READY FOR DELIVERY'
# Usage
pipeline = ConstructionVerificationPipeline('cost_estimate')
report = pipeline.verify(estimate_output, sources=[bim_model, specifications])
print(report.to_markdown())
Integration with DDC Workflows
This verification skill integrates with other DDC skills:
- Post-Estimation: Run after
cost-estimation-*skills - Post-QTO: Run after
qto-reportskill - Post-Scheduling: Run after
gantt-chartor4d-simulationskills - Post-Pipeline: Run after
etl-pipelineskill
Continuous Verification Mode
For long automation sessions, run verification at checkpoints:
Recommended checkpoints:
- After processing each BIM model
- After generating each major section of estimate
- After completing each phase of schedule
- Before any external data submission
Command: /verify-construction
Quality is not negotiable in construction. Verify before you deliver.