{"slug":"datadrivenconstruction-ifc-qto-extraction","name":"ifc-qto-extraction","description":"Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.","long_description":"---\nname: \"ifc-qto-extraction\"\ndescription: \"Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.\"\nhomepage: \"https://datadrivenconstruction.io\"\nmetadata: {\"openclaw\":{\"emoji\":\"📐\",\"os\":[\"darwin\",\"linux\",\"win32\"],\"homepage\":\"https://datadrivenconstruction.io\",\"requires\":{\"bins\":[\"python3\"],\"anyBins\":[\"IfcConvert\",\"ifcopenshell\"]}}}\n---\n\n# IFC Quantity Takeoff Extraction\n\nExtract structured quantity data from BIM models (IFC, Revit) for cost estimation, material ordering, and progress tracking.\n\n## Business Case\n\n**Problem**: Manual quantity takeoff is:\n- Time-consuming (40-80 hours for medium project)\n- Error-prone (human counting mistakes)\n- Not repeatable (changes require full rework)\n- Disconnected from design (no live updates)\n\n**Solution**: Automated QTO from BIM that:\n- Extracts all quantities in minutes\n- Groups by type, level, zone\n- Updates instantly with model changes\n- Exports to Excel for pricing\n\n**ROI**: 90% reduction in QTO time, near-zero counting errors\n\n## DDC Tools Used\n\n```\n┌──────────────────────────────────────────────────────────────────────┐\n│                      QTO EXTRACTION PIPELINE                          │\n├──────────────────────────────────────────────────────────────────────┤\n│                                                                       │\n│   INPUT                 CONVERT                 ANALYZE               │\n│   ┌─────────┐          ┌─────────┐            ┌─────────┐            │\n│   │ .rvt    │          │ DDC     │            │ Python  │            │\n│   │ .ifc    │─────────►│Converter│───────────►│ pandas  │            │\n│   │ .dwg    │          │         │            │         │            │\n│   └─────────┘          └─────────┘            └─────────┘            │\n│                              │                      │                 │\n│                              ▼                      ▼                 │\n│                        ┌─────────┐            ┌─────────┐            │\n│                        │ .xlsx   │            │ Grouped │            │\n│                        │ raw data│            │ QTO     │            │\n│                        └─────────┘            └─────────┘            │\n│                                                    │                  │\n│   OUTPUT                                           ▼                  │\n│   ┌─────────────────────────────────────────────────────────────┐   │\n│   │  QTO Report                                                  │   │\n│   │  • Element counts by type                                    │   │\n│   │  • Areas (m², ft²)                                           │   │\n│   │  • Volumes (m³, ft³)                                         │   │\n│   │  • Lengths (m, ft)                                           │   │\n│   │  • Weights (kg, tons)                                        │   │\n│   │  • Grouped by level/zone/system                              │   │\n│   └─────────────────────────────────────────────────────────────┘   │\n│                                                                       │\n└──────────────────────────────────────────────────────────────────────┘\n```\n\n## CLI Commands\n\n### Revit to Excel (with BBox for volumes)\n\n```bash\n# Basic extraction\nRvtExporter.exe \"C:\\Models\\Building.rvt\"\n\n# Full extraction with bounding boxes (for volume calculations)\nRvtExporter.exe \"C:\\Models\\Building.rvt\" complete bbox\n\n# Include schedules (Revit's built-in QTO)\nRvtExporter.exe \"C:\\Models\\Building.rvt\" complete bbox schedule\n```\n\n### IFC to Excel\n\n```bash\n# Extract IFC data\nIfcExporter.exe \"C:\\Models\\Building.ifc\"\n\n# Output: Building.xlsx with all IFC entities\n```\n\n### DWG to Excel (2D areas)\n\n```bash\n# Extract DWG blocks and areas\nDwgExporter.exe \"C:\\Drawings\\FloorPlan.dwg\"\n```\n\n## Python Implementation\n\n```python\nimport pandas as pd\nimport numpy as np\nfrom pathlib import Path\nimport subprocess\nfrom typing import List, Dict, Optional\nfrom dataclasses import dataclass\n\n@dataclass\nclass QuantityItem:\n    \"\"\"Single quantity line item\"\"\"\n    category: str\n    type_name: str\n    count: int\n    area: float = 0.0\n    volume: float = 0.0\n    length: float = 0.0\n    weight: float = 0.0\n    unit_area: str = \"m²\"\n    unit_volume: str = \"m³\"\n    unit_length: str = \"m\"\n    level: str = \"\"\n    zone: str = \"\"\n\n\nclass BIMQuantityExtractor:\n    \"\"\"Extract quantities from BIM models using DDC converters\"\"\"\n\n    def __init__(self, converter_path: str):\n        self.converter_path = Path(converter_path)\n\n    def convert_model(self, model_path: str, options: List[str] = None) -> Path:\n        \"\"\"Convert BIM model to Excel\"\"\"\n\n        model = Path(model_path)\n        options = options or [\"complete\", \"bbox\"]\n\n        # Determine converter\n        ext = model.suffix.lower()\n        converters = {\n            '.rvt': 'RvtExporter.exe',\n            '.rfa': 'RvtExporter.exe',\n            '.ifc': 'IfcExporter.exe',\n            '.dwg': 'DwgExporter.exe',\n            '.dgn': 'DgnExporter.exe'\n        }\n\n        converter = self.converter_path / converters.get(ext, 'RvtExporter.exe')\n\n        # Build command\n        cmd = [str(converter), str(model)] + options\n\n        # Execute\n        result = subprocess.run(cmd, capture_output=True, text=True)\n\n        if result.returncode != 0:\n            raise RuntimeError(f\"Conversion failed: {result.stderr}\")\n\n        # Return path to generated Excel\n        xlsx_path = model.with_suffix('.xlsx')\n        return xlsx_path\n\n    def load_bim_data(self, xlsx_path: str) -> pd.DataFrame:\n        \"\"\"Load converted BIM data from Excel\"\"\"\n\n        xlsx = Path(xlsx_path)\n        if not xlsx.exists():\n            raise FileNotFoundError(f\"Excel file not found: {xlsx}\")\n\n        # Read main data sheet\n        df = pd.read_excel(xlsx, sheet_name=0)\n\n        # Clean column names\n        df.columns = df.columns.str.strip()\n\n        return df\n\n    def extract_quantities(\n        self,\n        df: pd.DataFrame,\n        group_by: str = \"Type Name\",\n        include_categories: List[str] = None\n    ) -> List[QuantityItem]:\n        \"\"\"Extract quantities grouped by type\"\"\"\n\n        # Filter categories if specified\n        if include_categories and 'Category' in df.columns:\n            df = df[df['Category'].isin(include_categories)]\n\n        # Group and aggregate\n        quantities = []\n\n        for (category, type_name), group in df.groupby(['Category', group_by]):\n            item = QuantityItem(\n                category=str(category),\n                type_name=str(type_name),\n                count=len(group)\n            )\n\n            # Extract area\n            area_cols = ['Area', 'Surface Area', 'Gross Area', 'Net Area']\n            for col in area_cols:\n                if col in group.columns:\n                    item.area = group[col].sum()\n                    break\n\n            # Extract volume\n            vol_cols = ['Volume', 'Gross Volume', 'Net Volume']\n            for col in vol_cols:\n                if col in group.columns:\n                    item.volume = group[col].sum()\n                    break\n\n            # Extract length\n            len_cols = ['Length', 'Curve Length', 'Unconnected Height']\n            for col in len_cols:\n                if col in group.columns:\n                    item.length = group[col].sum()\n                    break\n\n            # Extract level if available\n            if 'Level' in group.columns:\n                levels = group['Level'].dropna().unique()\n                item.level = ', '.join(str(l) for l in levels)\n\n            quantities.append(item)\n\n        return quantities\n\n    def extract_by_level(\n        self,\n        df: pd.DataFrame,\n        group_by: str = \"Type Name\"\n    ) -> Dict[str, List[QuantityItem]]:\n        \"\"\"Extract quantities grouped by level\"\"\"\n\n        result = {}\n\n        if 'Level' not in df.columns:\n            result['All Levels'] = self.extract_quantities(df, group_by)\n            return result\n\n        for level, level_df in df.groupby('Level'):\n            level_name = str(level) if pd.notna(level) else 'Unassigned'\n            result[level_name] = self.extract_quantities(level_df, group_by)\n\n        return result\n\n    def calculate_concrete_quantities(self, df: pd.DataFrame) -> dict:\n        \"\"\"Calculate concrete quantities for typical elements\"\"\"\n\n        concrete_categories = [\n            'Floors', 'Structural Floors',\n            'Walls', 'Structural Walls',\n            'Structural Foundations', 'Foundation',\n            'Structural Columns', 'Columns',\n            'Structural Framing', 'Beams'\n        ]\n\n        concrete_df = df[df['Category'].isin(concrete_categories)]\n\n        return {\n            'total_volume_m3': concrete_df['Volume'].sum() if 'Volume' in concrete_df.columns else 0,\n            'by_category': concrete_df.groupby('Category')['Volume'].sum().to_dict() if 'Volume' in concrete_df.columns else {},\n            'element_count': len(concrete_df)\n        }\n\n    def calculate_wall_quantities(self, df: pd.DataFrame) -> dict:\n        \"\"\"Calculate wall quantities\"\"\"\n\n        wall_categories = ['Walls', 'Basic Wall', 'Curtain Wall']\n        walls = df[df['Category'].isin(wall_categories)]\n\n        result = {\n            'total_area_m2': 0,\n            'total_length_m': 0,\n            'by_type': {}\n        }\n\n        if 'Area' in walls.columns:\n            result['total_area_m2'] = walls['Area'].sum()\n\n        if 'Length' in walls.columns:\n            result['total_length_m'] = walls['Length'].sum()\n\n        if 'Type Name' in walls.columns:\n            for type_name, group in walls.groupby('Type Name'):\n                result['by_type'][type_name] = {\n                    'count': len(group),\n                    'area': group['Area'].sum() if 'Area' in group.columns else 0,\n                    'length': group['Length'].sum() if 'Length' in group.columns else 0\n                }\n\n        return result\n\n    def generate_qto_report(\n        self,\n        quantities: List[QuantityItem],\n        output_path: str,\n        project_name: str = \"Project\"\n    ) -> str:\n        \"\"\"Generate QTO Excel report\"\"\"\n\n        # Convert to DataFrame\n        records = []\n        for q in quantities:\n            records.append({\n                'Category': q.category,\n                'Type': q.type_name,\n                'Count': q.count,\n                'Area (m²)': round(q.area, 2),\n                'Volume (m³)': round(q.volume, 3),\n                'Length (m)': round(q.length, 2),\n                'Level': q.level\n            })\n\n        df = pd.DataFrame(records)\n\n        # Sort by category and type\n        df = df.sort_values(['Category', 'Type'])\n\n        # Write to Excel with formatting\n        with pd.ExcelWriter(output_path, engine='openpyxl') as writer:\n            # Summary sheet\n            summary = df.groupby('Category').agg({\n                'Count': 'sum',\n                'Area (m²)': 'sum',\n                'Volume (m³)': 'sum',\n                'Length (m)': 'sum'\n            }).round(2)\n            summary.to_excel(writer, sheet_name='Summary')\n\n            # Detail sheet\n            df.to_excel(writer, sheet_name='Detail', index=False)\n\n            # By Level sheet\n            if 'Level' in df.columns and df['Level'].notna().any():\n                level_summary = df.groupby(['Level', 'Category']).agg({\n                    'Count': 'sum',\n                    'Area (m²)': 'sum',\n                    'Volume (m³)': 'sum'\n                }).round(2)\n                level_summary.to_excel(writer, sheet_name='By Level')\n\n        return output_path\n\n    def generate_html_report(\n        self,\n        quantities: List[QuantityItem],\n        output_path: str,\n        project_name: str = \"Project\"\n    ) -> str:\n        \"\"\"Generate interactive HTML QTO report\"\"\"\n\n        # Group by category\n        by_category = {}\n        for q in quantities:\n            if q.category not in by_category:\n          ","tagline":"Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.","category":"automation","tags":["agent-skill"],"author":"datadrivenconstruction","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction","creatorName":"datadrivenconstruction","creatorUrl":"https://github.com/datadrivenconstruction","sourceUrl":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/datadrivenconstruction-ifc-qto-extraction#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":282,"forks":74,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":40.26},"quality":{"score":71,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"282","tone":"neutral"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support."]},"trust":{"version":"trust-score-v5","score":62,"base_score":70,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface"},{"status":"pass","label":"Install availability","detail":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"1 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","Financial research output is not financial advice; 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require human review before any live investment decision.","Quality score needs review"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v3","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["automation","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction","trust_score":62,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["automation","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","Financial research output is not financial advice; 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issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface"},{"status":"pass","label":"Install availability","detail":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"1 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"282 GitHub stars","repoActivity":"282 stars, 74 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction","install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","Pushed today","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v3","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["automation","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction","trust_score":62,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["automation","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":70,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection."}}},"trust_score_v4":{"version":"trust-score-v4","score":70,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection.","recommendedAction":"Inspect the repository, license, and recent activity before connecting it to agent workflows.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"282 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":62,"weight":0.08,"status":"info","detail":"282 stars, 74 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"Pushed today"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":76,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":72,"weight":0.12,"status":"info","detail":"command execution surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":62,"weight":0.07,"status":"info","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"282 GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"282 stars, 74 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface"},{"status":"pass","label":"Install availability","detail":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"1 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern"],"warnings":["The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"evidence":{"stars":"282 GitHub stars","repoActivity":"282 stars, 74 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction","install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","Pushed today","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["automation","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":50,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["High-risk permission hints: Shell or command execution","50/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["High-risk permission hints: Shell or command execution","50/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":69,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Trust score: Potentially useful, but at least one trust signal needs human inspection.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","Permission surface: shell or command execution, filesystem or document access","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","The skill lacks a 'Limitations' or 'Safe Operating Boundaries' section (e.g., model size limits, unsupported IFC versions).","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate ifc-qto-extraction before installing it in an agent workflow","automation","Browser automation workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction"]},{"id":"trust_score","label":"Trust score","status":"warn","score":70,"required_for_auto_install":true,"detail":"Potentially useful, but at least one trust signal needs human inspection.","evidence":["Manual review","282 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":78,"required_for_auto_install":true,"detail":"Needs review","evidence":["Financial research output is not financial advice; require human review before any live investment decision"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":50,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: Shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"warn","score":76,"required_for_auto_install":false,"detail":"Public metadata needs stronger README/SKILL.md context","evidence":["Usable metadata, review docs"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"Pushed today","evidence":["Pushed today"]},{"id":"permission_surface","label":"Permission surface","status":"warn","score":62,"required_for_auto_install":true,"detail":"shell or command execution, filesystem or document access","evidence":["Shell or command execution: high","Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/datadrivenconstruction-ifc-qto-extraction/evals","api":"/api/agent/evals?slug=datadrivenconstruction-ifc-qto-extraction","text":"/api/agent/evals?slug=datadrivenconstruction-ifc-qto-extraction&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"datadrivenconstruction-ifc-qto-extraction","name":"ifc-qto-extraction","description":"Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.","category":"automation","url":"https://www.openagentskill.com/skills/datadrivenconstruction-ifc-qto-extraction","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction","github_repo":"datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction"},"suited_tasks":["Browser automation workflows","Claude Code teams","builders willing to evaluate younger projects","Navigate pages","Click and type safely","Check visual and DOM state","Move data between tools","Transform files"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install datadrivenconstruction-ifc-qto-extraction"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"ifc-qto-extraction\" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"datadrivenconstruction-ifc-qto-extraction\",\"task\":\"Install ifc-qto-extraction\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"ifc-qto-extraction\" as a Claude Code skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"datadrivenconstruction-ifc-qto-extraction\",\"task\":\"Install ifc-qto-extraction\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"ifc-qto-extraction\" from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"datadrivenconstruction-ifc-qto-extraction\",\"task\":\"Install ifc-qto-extraction\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/datadrivenconstruction-ifc-qto-extraction/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-ifc-qto-extraction"},"trust":{"score":70,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"282 GitHub stars","repoActivity":"282 stars, 74 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction","install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["automation","agent-skill"],"known_risks":["The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":78,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","The skill lacks a 'Limitations' or 'Safe Operating Boundaries' section (e.g., model size limits, unsupported IFC versions).","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":71,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","The skill lacks a 'Limitations' or 'Safe Operating Boundaries' section (e.g., model size limits, unsupported IFC versions).","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"agent_contract":{"task_input":"Use ifc-qto-extraction in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 70/100 Manual review","Audit: 78/100 Needs review","Safety: 50/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"datadrivenconstruction-ifc-qto-extraction (ifc-qto-extraction)","install_command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"datadrivenconstruction-ifc-qto-extraction","task":"Use ifc-qto-extraction in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/datadrivenconstruction-ifc-qto-extraction","api":"https://www.openagentskill.com/api/agent/skills/datadrivenconstruction-ifc-qto-extraction","audit":"https://www.openagentskill.com/skills/datadrivenconstruction-ifc-qto-extraction/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=datadrivenconstruction-ifc-qto-extraction&task=Use%20ifc-qto-extraction%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20ifc-qto-extraction%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20ifc-qto-extraction%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/datadrivenconstruction-ifc-qto-extraction/install","manifest":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-ifc-qto-extraction"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"datadrivenconstruction-ifc-qto-extraction","name":"ifc-qto-extraction","description":"Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.","category":"automation","url":"https://www.openagentskill.com/skills/datadrivenconstruction-ifc-qto-extraction","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction","github_repo":"datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction"},"suited_tasks":["Browser automation workflows","Claude Code teams","builders willing to evaluate younger projects","Navigate pages","Click and type safely","Check visual and DOM state","Move data between tools","Transform files"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install datadrivenconstruction-ifc-qto-extraction"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"ifc-qto-extraction\" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"datadrivenconstruction-ifc-qto-extraction\",\"task\":\"Install ifc-qto-extraction\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"ifc-qto-extraction\" as a Claude Code skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"datadrivenconstruction-ifc-qto-extraction\",\"task\":\"Install ifc-qto-extraction\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"ifc-qto-extraction\" from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"datadrivenconstruction-ifc-qto-extraction\",\"task\":\"Install ifc-qto-extraction\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/datadrivenconstruction-ifc-qto-extraction/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-ifc-qto-extraction"},"trust":{"score":70,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"282 GitHub stars","repoActivity":"282 stars, 74 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction","install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["automation","agent-skill"],"known_risks":["The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":78,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","The skill lacks a 'Limitations' or 'Safe Operating Boundaries' section (e.g., model size limits, unsupported IFC versions).","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":71,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","The skill lacks a 'Limitations' or 'Safe Operating Boundaries' section (e.g., model size limits, unsupported IFC versions).","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"agent_contract":{"task_input":"Use ifc-qto-extraction in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 70/100 Manual review","Audit: 78/100 Needs review","Safety: 50/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"datadrivenconstruction-ifc-qto-extraction (ifc-qto-extraction)","install_command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"datadrivenconstruction-ifc-qto-extraction","task":"Use ifc-qto-extraction in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/datadrivenconstruction-ifc-qto-extraction","api":"https://www.openagentskill.com/api/agent/skills/datadrivenconstruction-ifc-qto-extraction","audit":"https://www.openagentskill.com/skills/datadrivenconstruction-ifc-qto-extraction/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=datadrivenconstruction-ifc-qto-extraction&task=Use%20ifc-qto-extraction%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20ifc-qto-extraction%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20ifc-qto-extraction%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/datadrivenconstruction-ifc-qto-extraction/install","manifest":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-ifc-qto-extraction"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"browser-automation","title":"Browser automation"},{"slug":"workflow-automation","title":"Workflow automation"},{"slug":"local-desktop","title":"Local desktop"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":282,"starsLabel":"282","forks":74,"license":"MIT","qualityScore":71,"trustScore":70,"auditScore":78},"maintenance":{"status":"fresh","label":"Pushed today","daysSincePush":0,"lastPushedAt":"2026-08-22T07:59:22+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Financial research output is not financial advice; require human review before any live investment decision","The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","The skill lacks a 'Limitations' or 'Safe Operating Boundaries' section (e.g., model size limits, unsupported IFC versions).","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"coverageTags":["Research","Research agents","automation","agent-skill"]},"audit":{"audit_score":78,"risk_level":"needs_review","risk_label":"Needs review","quality_score":71,"trust_score":70,"maintenance_score":100,"security_score":77,"install_score":92,"warnings":["Financial research output is not financial advice; require human review before any live investment decision","The skill references proprietary converter executables (RvtExporter.exe, IfcExporter.exe, DwgExporter.exe) that are not included or documented for installation, and are Windows-only, conflicting with cross-platform support.","The skill lacks a 'Limitations' or 'Safe Operating Boundaries' section (e.g., model size limits, unsupported IFC versions).","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"]},"quality_signals":{"model":"v2","star_score":17.16,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"web-scraping","title":"Web scraping","url":"https://www.openagentskill.com/use-cases/web-scraping"}],"stacks":[{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"web-data-pipeline","title":"Web data pipeline","url":"https://www.openagentskill.com/collections/web-data-pipeline"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"}],"install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ifc-qto-extraction","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install datadrivenconstruction-ifc-qto-extraction","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"ifc-qto-extraction\" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"datadrivenconstruction-ifc-qto-extraction\",\"task\":\"Install ifc-qto-extraction\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"ifc-qto-extraction\" as a Claude Code skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"datadrivenconstruction-ifc-qto-extraction\",\"task\":\"Install ifc-qto-extraction\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"ifc-qto-extraction\" from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"datadrivenconstruction-ifc-qto-extraction\",\"task\":\"Install ifc-qto-extraction\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction","github_repo":"datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/datadrivenconstruction-ifc-qto-extraction","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/ifc-qto-extraction","api":"/api/agent/skills/datadrivenconstruction-ifc-qto-extraction","install_api":"/api/skills/datadrivenconstruction-ifc-qto-extraction/install"},"meta":{"created_at":"2026-08-22T10:37:10.782028+00:00","updated_at":"2026-08-22T10:37:10.782028+00:00","agent_friendly":true}}