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Get Started Free →Check BIM model consistency: naming conventions, parameter completeness, spatial relationships, and data integrity across model elements.
.claude/skills/datadrivenconstruction-bim-consistency-checker/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-09 | ✗→✓ | ▲ Improved | 192% | 0% |
| case-19 | ✗→✓ | ▲ Improved | 231% | 0% |
| case-20 | ✗→✓ | ▲ Improved | 278% | 0% |
| case-21 | ✗→✓ | ▲ Improved | 122% | 0% |
| case-23 | ✗→✓ | ▲ Improved | 423% | 0% |
Validate BIM model consistency including naming conventions, parameter completeness, spatial relationships, classification compliance, and cross-reference integrity.
BIM consistency checking ensures:
pythonfrom dataclasses import dataclass, field from typing import List, Dict, Any, Optional, Set from enum import Enum import re class CheckSeverity(Enum): ERROR = "error" WARNING = "warning" INFO = "info" class CheckCategory(Enum): NAMING = "naming" PARAMETERS = "parameters" SPATIAL = "spatial" CLASSIFICATION = "classification" GEOMETRY = "geometry" RELATIONSHIPS = "relationships" @dataclass class ConsistencyIssue: element_id: str element_name: str category: CheckCategory severity: CheckSeverity rule: str message: str suggestion: str = "" @dataclass class ConsistencyReport: model_name: str total_elements: int elements_checked: int issues: List[ConsistencyIssue] issues_by_category: Dict[str, int] issues_by_severity: Dict[str, int] pass_rate: float @dataclass class NamingConvention: element_type: str pattern: str description: str examples: List[str] class BIMConsistencyChecker: """Check BIM model consistency and data quality.""" # Default naming conventions DEFAULT_NAMING_RULES = [ NamingConvention( element_type='Level', pattern=r'^(L|Level)\s*\d{1,2}$|^(B|Basement)\s*\d?$|^(R|Roof)$', description='Levels should follow L01, Level 1, B1, Roof pattern', examples=['L01', 'Level 1', 'B1', 'Roof'] ), NamingConvention( element_type='Grid', pattern=r'^[A-Z]$|^\d{1,2}$|^[A-Z]\.\d$', description='Grids should be single letters (A-Z) or numbers', examples=['A', '1', 'A.1'] ), NamingConvention( element_type='Room', pattern=r'^\d{3,4}[A-Z]?\s*-?\s*.+', description='Rooms should have number and name (101 - Office)', examples=['101 - Office', '201A Conference'] ), NamingConvention( element_type='Wall', pattern=r'^(INT|EXT|CW|CMU|GYP)[-_].+', description='Walls should have type prefix', examples=['INT-GYP-1HR', 'EXT-CMU-8IN'] ), NamingConvention( element_type='Door', pattern=r'^[A-Z]?\d{2,3}[A-Z]?$', description='Doors should follow type numbering', examples=['101', 'A101', '101A'] ), ] # Required parameters by element type REQUIRED_PARAMETERS = { 'Wall': ['Fire Rating', 'Function', 'Structural'], 'Door': ['Fire Rating', 'Width', 'Height', 'Frame Material'], 'Room': ['Name', 'Number', 'Area', 'Department'], 'Window': ['Width', 'Height', 'Glass Type'], 'Floor': ['Structural', 'Fire Rating'], 'Ceiling': ['Height', 'Type'], 'Column': ['Structural Material', 'Shape'], 'Beam': ['Structural Material', 'Size'], } def __init__(self): self.naming_rules: List[NamingConvention] = list(self.DEFAULT_NAMING_RULES) self.required_params: Dict[str, List[str]] = dict(self.REQUIRED_PARAMETERS) self.issues: List[ConsistencyIssue] = [] def add_naming_rule(self, rule: NamingConvention): """Add custom naming convention rule.""" self.naming_rules.append(rule) def set_required_parameters(self, element_type: str, parameters: List[str]): """Set required parameters for an element type.""" self.required_params[element_type] = parameters def check_model(self, elements: List[Dict]) -> ConsistencyReport: """Run all consistency checks on model elements.""" self.issues = [] for element in elements: self._check_naming(element) self._check_parameters(element) self._check_spatial(element) self._check_classification(element) self._check_geometry(element) # Cross-element checks self._check_relationships(elements) self._check_duplicates(elements) # Calculate statistics issues_by_category = {} issues_by_severity = {} for issue in self.issues: cat = issue.category.value sev = issue.severity.value issues_by_category[cat] = issues_by_category.get(cat, 0) + 1 issues_by_severity[sev] = issues_by_severity.get(sev, 0) + 1 elements_with_issues = len(set(i.element_id for i in self.issues)) pass_rate = (len(elements) - elements_with_issues) / len(elements) * 100 if elements else 100 return ConsistencyReport( model_name='Model', total_elements=len(elements), elements_checked=len(elements), issues=self.issues, issues_by_category=issues_by_category, issues_by_severity=issues_by_severity, pass_rate=pass_rate ) def _check_naming(self, element: Dict): """Check element naming conventions.""" element_type = element.get('type', '') name = element.get('name', '') element_id = element.get('id', '') if not name: self.issues.append(ConsistencyIssue( element_id=element_id, element_name='(no name)', category=CheckCategory.NAMING, severity=CheckSeverity.ERROR, rule='Name Required', message='Element has no name', suggestion='Assign a descriptive name following conventions' )) return # Check against naming rules for rule in self.naming_rules: if rule.element_type.lower() in element_type.lower(): if not re.match(rule.pattern, name, re.IGNORECASE): self.issues.append(ConsistencyIssue( element_id=element_id, element_name=name, category=CheckCategory.NAMING, severity=CheckSeverity.WARNING, rule=f'{rule.element_type} Naming', message=f'Name "{name}" does not follow convention', suggestion=f'{rule.description}. Examples: {", ".join(rule.examples)}' )) # Check for special characters if re.search(r'[<>:"/\\|?*]', name): self.issues.append(ConsistencyIssue( element_id=element_id, element_name=name, category=CheckCategory.NAMING, severity=CheckSeverity.ERROR, rule='Invalid Characters', message='Name contains invalid characters', suggestion='Remove special characters: < > : " / \\ | ? *' )) def _check_parameters(self, element: Dict): """Check parameter completeness.""" element_type = element.get('type', '') element_id = element.get('id', '') name = element.get('name', '') params = element.get('parameters', {}) # Check required parameters required = self.required_params.get(element_type, []) for param in required: if param not in params or params[param] in [None, '', 'None']: self.issues.append(ConsistencyIssue( element_id=element_id, element_name=name, category=CheckCategory.PARAMETERS, severity=CheckSeverity.WARNING, rule='Required Parameter', message=f'Missing required parameter: {param}', suggestion=f'Set value for {param}' )) # Check for default/placeholder values placeholder_values = ['TBD', 'XXX', 'TODO', 'CHANGE', '<default>'] for param, value in params.items(): if str(value).upper() in placeholder_values: self.issues.append(ConsistencyIssue( element_id=element_id, element_name=name, category=CheckCategory.PARAMETERS, severity=CheckSeverity.WARNING, rule='Placeholder Value', message=f'Parameter "{param}" has placeholder value: {value}', suggestion='Replace with actual value' )) def _check_spatial(self, element: Dict): """Check spatial consistency.""" element_id = element.get('id', '') name = element.get('name', '') element_type = element.get('type', '') # Check level assignment level = element.get('level') requires_level = element_type in ['Wall', 'Door', 'Window', 'Room', 'Floor', 'Ceiling'] if requires_level and not level: self.issues.append(ConsistencyIssue( element_id=element_id, element_name=name, category=CheckCategory.SPATIAL, severity=CheckSeverity.ERROR, rule='Level Assignment', message='Element not assigned to a level', suggestion='Assign element to appropriate level' )) # Check room bounding if element_type == 'Wall': room_bounding = element.get('room_bounding', True) if not room_bounding: self.issues.append(ConsistencyIssue( element_id=element_id, element_name=name, category=CheckCategory.SPATIAL, severity=CheckSeverity.INFO, rule='Room Bounding', message='Wall is not room bounding', suggestion='Verify this is intentional' )) def _check_classification(self, element: Dict): """Check classification codes.""" element_id = element.get('id', '') name = element.get('name', '') params = element.get('parameters', {}) # Check for classification classification = params.get('Classification') or params.get('OmniClass') or params.get('UniFormat') if not classification: self.issues.append(ConsistencyIssue( element_id=element_id, element_name=name, category=CheckCategory.CLASSIFICATION, severity=CheckSeverity.INFO, rule='Classification Required', message='Element has no classification code', suggestion='Assign OmniClass, UniFormat, or other classification' )) else: # Validate format if not re.match(r'^\d{2}[-\s]?\d{2}[-\s]?\d{2}', str(classification)): self.issues.append(ConsistencyIssue( element_id=element_id, element_name=name, category=CheckCategory.CLASSIFICATION, severity=CheckSeverity.WARNING, rule='Classification Format', message=f'Invalid classification format: {classification}', suggestion='Use standard format (XX XX XX)' )) def _check_geometry(self, element: Dict): """Check geometry validity.""" element_id = element.get('id', '') name = element.get('name', '') geometry = element.get('geometry', {}) # Check for zero area/volume area = geometry.get('area', 0) volume = geometry.get('volume', 0) if area == 0 and volume == 0 and element.get('type') not in ['Grid', 'Level', 'ReferencePlane']: self.issues.append(ConsistencyIssue( element_id=element_id, element_name=name, category=CheckCategory.GEOMETRY, severity=CheckSeverity.ERROR, rule='Zero Geometry', message='Element has zero area and volume', suggestion='Check element geometry is valid' )) # Check for extremely small elements if 0 < area < 0.01: # Less than 0.01 m² or ft² self.issues.append(ConsistencyIssue( element_id=element_id, element_name=name, category=CheckCategory.GEOMETRY, severity=CheckSeverity.WARNING, rule='Tiny Element', message=f'Element has very small area: {area}', suggestion='Verify element is intentional and not a modeling error' )) def _check_relationships(self, elements: List[Dict]): """Check cross-element relationships.""" # Build lookup elements_by_id = {e['id']: e for e in elements} elements_by_type = {} for e in elements: t = e.get('type', '') if t not in elements_by_type: elements_by_type[t] = [] elements_by_type[t].append(e) # Check door-wall relationships for door in elements_by_type.get('Door', []): host_wall = door.get('host_id') if host_wall and host_wall not in elements_by_id: self.issues.append(ConsistencyIssue( element_id=door['id'], element_name=door.get('name', ''), category=CheckCategory.RELATIONSHIPS, severity=CheckSeverity.ERROR, rule='Invalid Host', message=f'Door references non-existent wall: {host_wall}', suggestion='Rehost door to valid wall' )) # Check room enclosure for room in elements_by_type.get('Room', []): if not room.get('is_bounded', True): self.issues.append(ConsistencyIssue( element_id=room['id'], element_name=room.get('name', ''), category=CheckCategory.RELATIONSHIPS, severity=CheckSeverity.ERROR, rule='Unbounded Room', message='Room is not properly bounded', suggestion='Check room boundary walls' )) def _check_duplicates(self, elements: List[Dict]): """Check for duplicate elements.""" seen: Dict[str, List[Dict]] = {} for element in elements: # Create signature for duplicate detection sig_parts = [ element.get('type', ''), str(element.get('geometry', {}).get('location', '')), element.get('name', '') ] signature = '|'.join(sig_parts) if signature in seen: for dup in seen[signature]: self.issues.append(ConsistencyIssue( element_id=element['id'], element_name=element.get('name', ''), category=CheckCategory.RELATIONSHIPS, severity=CheckSeverity.WARNING, rule='Duplicate Element', message=f'Possible duplicate of element {dup["id"]}', suggestion='Review and remove duplicate if confirmed' )) if signature not in seen: seen[signature] = [] seen[signature].append(element) def generate_report(self, report: ConsistencyReport) -> str: """Generate consistency check report.""" lines = ["# BIM Consistency Check Report", ""] lines.append(f"**Model:** {report.model_name}") lines.append(f"**Elements Checked:** {report.elements_checked}") lines.append(f"**Pass Rate:** {report.pass_rate:.1f}%") lines.append("") # Summary lines.append("## Summary") lines.append(f"- **Total Issues:** {len(report.issues)}") lines.append(f"- Errors: {report.issues_by_severity.get('error', 0)}") lines.append(f"- Warnings: {report.issues_by_severity.get('warning', 0)}") lines.append(f"- Info: {report.issues_by_severity.get('info', 0)}") lines.append("") # By category lines.append("## Issues by Category") for cat, count in sorted(report.issues_by_category.items()): lines.append(f"- {cat}: {count}") lines.append("") # Critical issues errors = [i for i in report.issues if i.severity == CheckSeverity.ERROR] if errors: lines.append("## Critical Issues (Errors)") for issue in errors[:20]: lines.append(f"\n### {issue.element_name} ({issue.element_id})") lines.append(f"- **Rule:** {issue.rule}") lines.append(f"- **Issue:** {issue.message}") lines.append(f"- **Fix:** {issue.suggestion}") return "\n".join(lines)
python# Initialize checker checker = BIMConsistencyChecker() # Sample model elements elements = [ { 'id': 'wall-001', 'type': 'Wall', 'name': 'INT-GYP-1HR', 'level': 'Level 1', 'parameters': {'Fire Rating': '1 Hour', 'Function': 'Interior'}, 'geometry': {'area': 50.5} }, { 'id': 'door-001', 'type': 'Door', 'name': '101', 'level': 'Level 1', 'host_id': 'wall-001', 'parameters': {'Width': 36, 'Height': 84} } ] # Run checks report = checker.check_model(elements) print(f"Pass Rate: {report.pass_rate:.1f}%") print(f"Issues Found: {len(report.issues)}") # Generate report print(checker.generate_report(report))
bashpip install (no external dependencies)
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 20,949 | 25,205 | +20% | 1 | 1 | 0% | 3,514 | 10,688 | +204% | 0 | 0 | — |
case-11 | pass→pass | 10,030 | 5,417 | -46% | 1 | 1 | 0% | 1,592 | 5,444 | +242% | 0 | 0 | — |
case-02 | pass→pass | 30,562 | 27,064 | -11% | 1 | 1 | 0% | 6,207 | 10,674 | +72% | 0 | 0 | — |
case-03 | fail→fail | 17,914 | 27,794 | +55% | 1 | 1 | 0% | 2,788 | 10,677 | +283% | 0 | 0 | — |
case-04 | fail→fail | 19,094 | 20,262 | +6% | 1 | 1 | 0% | 3,675 | 8,681 | +136% | 0 | 0 | — |
case-05 | fail→fail | 10,104 | 25,008 | +148% | 1 | 1 | 0% | 1,881 | 9,822 | +422% | 0 | 0 | — |
case-06 | fail→fail | 15,307 | 29,776 | +95% | 1 | 1 | 0% | 2,502 | 10,642 | +325% | 0 | 0 | — |
case-07 | pass→pass | 14,908 | 5,221 | -65% | 1 | 1 | 0% | 2,599 | 5,501 | +112% | 0 | 0 | — |
case-08 | pass→pass | 11,240 | 4,526 | -60% | 1 | 1 | 0% | 2,030 | 5,324 | +162% | 0 | 0 | — |
case-09 | fail→pass | 11,271 | 4,431 | -61% | 1 | 1 | 0% | 1,787 | 5,212 | +192% | 0 | 0 | — |
case-10 | pass→pass | 9,189 | 5,241 | -43% | 1 | 1 | 0% | 1,662 | 5,500 | +231% | 0 | 0 | — |
case-12 | pass→pass | 10,932 | 6,690 | -39% | 1 | 1 | 0% | 1,826 | 5,735 | +214% | 0 | 0 | — |
case-13 | pass→pass | 5,433 | 3,678 | -32% | 1 | 1 | 0% | 850 | 5,248 | +517% | 0 | 0 | — |
case-14 | pass→pass | 6,906 | 3,437 | -50% | 1 | 1 | 0% | 1,099 | 5,123 | +366% | 0 | 0 | — |
case-15 | pass→pass | 10,762 | 5,612 | -48% | 1 | 1 | 0% | 1,807 | 5,437 | +201% | 0 | 0 | — |
case-16 | pass→pass | 10,564 | 4,315 | -59% | 1 | 1 | 0% | 1,685 | 5,316 | +215% | 0 | 0 | — |
case-17 | pass→pass | 4,091 | 2,763 | -32% | 1 | 1 | 0% | 665 | 5,038 | +658% | 0 | 0 | — |
case-18 | pass→pass | 5,741 | 3,574 | -38% | 1 | 1 | 0% | 893 | 5,127 | +474% | 0 | 0 | — |
case-19 | fail→pass | 9,607 | 5,792 | -40% | 1 | 1 | 0% | 1,696 | 5,619 | +231% | 0 | 0 | — |
case-20 | fail→pass | 7,409 | 4,168 | -44% | 1 | 1 | 0% | 1,377 | 5,210 | +278% | 0 | 0 | — |
case-21 | fail→pass | 10,979 | 3,278 | -70% | 1 | 1 | 0% | 2,315 | 5,143 | +122% | 0 | 0 | — |
case-22 | pass→pass | 8,039 | 5,288 | -34% | 1 | 1 | 0% | 1,280 | 5,471 | +327% | 0 | 0 | — |
case-23 | fail→pass | 6,259 | 3,598 | -43% | 1 | 1 | 0% | 992 | 5,186 | +423% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted. The headline lift of +22 percentage points is the difference between those two pass rates over the 23 comparable cases. 2 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.