{"slug":"datadrivenconstruction-bim-classification-ai","name":"bim-classification-ai","description":"Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.","long_description":"---\nname: \"bim-classification-ai\"\ndescription: \"Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.\"\nhomepage: \"https://datadrivenconstruction.io\"\nmetadata: {\"openclaw\": {\"emoji\": \"🔍\", \"os\": [\"win32\"], \"homepage\": \"https://datadrivenconstruction.io\", \"requires\": {\"bins\": [\"python3\"]}}}\n---\n# BIM Classification AI\n\n## Business Case\n\n### Problem Statement\nBIM models often lack proper classification:\n- Elements without classification codes\n- Inconsistent naming conventions\n- Manual classification is tedious\n- Difficult to map to cost databases\n\n### Solution\nAI-powered classification system that analyzes BIM element properties and suggests appropriate classification codes from multiple standards.\n\n### Business Value\n- **Automation** - Reduce manual classification effort\n- **Consistency** - Standardized classification across projects\n- **Integration** - Enable cost estimation and QTO\n- **Quality** - Improved data quality in BIM models\n\n## Technical Implementation\n\n```python\nimport pandas as pd\nfrom typing import Dict, Any, List, Optional, Tuple\nfrom dataclasses import dataclass, field\nfrom enum import Enum\nimport re\n\n\nclass ClassificationSystem(Enum):\n    \"\"\"Classification standards.\"\"\"\n    UNIFORMAT = \"uniformat\"\n    MASTERFORMAT = \"masterformat\"\n    OMNICLASS = \"omniclass\"\n    UNICLASS = \"uniclass\"\n    CWICR = \"cwicr\"\n\n\n@dataclass\nclass ClassificationCode:\n    \"\"\"Classification code with metadata.\"\"\"\n    code: str\n    title: str\n    system: ClassificationSystem\n    level: int\n    parent_code: Optional[str] = None\n    keywords: List[str] = field(default_factory=list)\n\n\n@dataclass\nclass ClassificationResult:\n    \"\"\"Result of classification attempt.\"\"\"\n    element_id: str\n    element_name: str\n    element_category: str\n    suggested_codes: List[Tuple[ClassificationCode, float]]  # (code, confidence)\n    selected_code: Optional[ClassificationCode] = None\n    manual_override: bool = False\n\n\nclass ClassificationDatabase:\n    \"\"\"Classification codes database.\"\"\"\n\n    def __init__(self):\n        self.codes: Dict[ClassificationSystem, List[ClassificationCode]] = {\n            system: [] for system in ClassificationSystem\n        }\n        self._load_standard_codes()\n\n    def _load_standard_codes(self):\n        \"\"\"Load standard classification codes.\"\"\"\n        # UniFormat II codes\n        uniformat_codes = [\n            (\"A\", \"Substructure\", 1, None, [\"foundation\", \"basement\", \"excavation\"]),\n            (\"A10\", \"Foundations\", 2, \"A\", [\"footing\", \"pile\", \"foundation\"]),\n            (\"A1010\", \"Standard Foundations\", 3, \"A10\", [\"spread footing\", \"strip footing\"]),\n            (\"A1020\", \"Special Foundations\", 3, \"A10\", [\"pile\", \"caisson\", \"mat foundation\"]),\n            (\"B\", \"Shell\", 1, None, [\"superstructure\", \"exterior\", \"roof\"]),\n            (\"B10\", \"Superstructure\", 2, \"B\", [\"floor\", \"roof\", \"structure\"]),\n            (\"B1010\", \"Floor Construction\", 3, \"B10\", [\"slab\", \"deck\", \"floor\"]),\n            (\"B1020\", \"Roof Construction\", 3, \"B10\", [\"roof\", \"deck\", \"truss\"]),\n            (\"B20\", \"Exterior Enclosure\", 2, \"B\", [\"wall\", \"window\", \"door\"]),\n            (\"B2010\", \"Exterior Walls\", 3, \"B20\", [\"curtain wall\", \"masonry\", \"cladding\"]),\n            (\"B2020\", \"Exterior Windows\", 3, \"B20\", [\"window\", \"glazing\", \"storefront\"]),\n            (\"B30\", \"Roofing\", 2, \"B\", [\"roof\", \"membrane\", \"insulation\"]),\n            (\"C\", \"Interiors\", 1, None, [\"partition\", \"ceiling\", \"floor finish\"]),\n            (\"C10\", \"Interior Construction\", 2, \"C\", [\"partition\", \"door\", \"glazing\"]),\n            (\"C20\", \"Stairs\", 2, \"C\", [\"stair\", \"railing\", \"ladder\"]),\n            (\"C30\", \"Interior Finishes\", 2, \"C\", [\"finish\", \"paint\", \"flooring\"]),\n            (\"D\", \"Services\", 1, None, [\"mechanical\", \"electrical\", \"plumbing\"]),\n            (\"D10\", \"Conveying\", 2, \"D\", [\"elevator\", \"escalator\", \"lift\"]),\n            (\"D20\", \"Plumbing\", 2, \"D\", [\"pipe\", \"fixture\", \"drain\"]),\n            (\"D30\", \"HVAC\", 2, \"D\", [\"duct\", \"hvac\", \"air handling\"]),\n            (\"D40\", \"Fire Protection\", 2, \"D\", [\"sprinkler\", \"fire\", \"suppression\"]),\n            (\"D50\", \"Electrical\", 2, \"D\", [\"electrical\", \"power\", \"lighting\"]),\n        ]\n\n        for code, title, level, parent, keywords in uniformat_codes:\n            self.codes[ClassificationSystem.UNIFORMAT].append(\n                ClassificationCode(code, title, ClassificationSystem.UNIFORMAT, level, parent, keywords)\n            )\n\n        # MasterFormat codes (simplified)\n        masterformat_codes = [\n            (\"03\", \"Concrete\", 1, None, [\"concrete\", \"formwork\", \"reinforcing\"]),\n            (\"03 30 00\", \"Cast-in-Place Concrete\", 2, \"03\", [\"concrete\", \"pour\", \"slab\"]),\n            (\"03 41 00\", \"Precast Structural Concrete\", 2, \"03\", [\"precast\", \"concrete\", \"panel\"]),\n            (\"04\", \"Masonry\", 1, None, [\"brick\", \"block\", \"stone\"]),\n            (\"05\", \"Metals\", 1, None, [\"steel\", \"metal\", \"aluminum\"]),\n            (\"05 12 00\", \"Structural Steel Framing\", 2, \"05\", [\"beam\", \"column\", \"steel\"]),\n            (\"06\", \"Wood, Plastics, Composites\", 1, None, [\"wood\", \"timber\", \"lumber\"]),\n            (\"07\", \"Thermal and Moisture Protection\", 1, None, [\"insulation\", \"roofing\", \"waterproofing\"]),\n            (\"08\", \"Openings\", 1, None, [\"door\", \"window\", \"glazing\"]),\n            (\"09\", \"Finishes\", 1, None, [\"drywall\", \"paint\", \"flooring\"]),\n            (\"21\", \"Fire Suppression\", 1, None, [\"sprinkler\", \"fire\", \"suppression\"]),\n            (\"22\", \"Plumbing\", 1, None, [\"pipe\", \"fixture\", \"plumbing\"]),\n            (\"23\", \"HVAC\", 1, None, [\"hvac\", \"duct\", \"mechanical\"]),\n            (\"26\", \"Electrical\", 1, None, [\"electrical\", \"power\", \"lighting\"]),\n        ]\n\n        for code, title, level, parent, keywords in masterformat_codes:\n            self.codes[ClassificationSystem.MASTERFORMAT].append(\n                ClassificationCode(code, title, ClassificationSystem.MASTERFORMAT, level, parent, keywords)\n            )\n\n    def search(self, query: str, system: ClassificationSystem = None) -> List[ClassificationCode]:\n        \"\"\"Search classification codes by keyword.\"\"\"\n        results = []\n        query_lower = query.lower()\n\n        systems = [system] if system else list(ClassificationSystem)\n\n        for sys in systems:\n            for code in self.codes.get(sys, []):\n                # Check title\n                if query_lower in code.title.lower():\n                    results.append(code)\n                    continue\n                # Check keywords\n                if any(query_lower in kw.lower() for kw in code.keywords):\n                    results.append(code)\n\n        return results\n\n\nclass BIMClassificationAI:\n    \"\"\"AI-powered BIM element classification.\"\"\"\n\n    def __init__(self, classification_db: ClassificationDatabase = None):\n        self.db = classification_db or ClassificationDatabase()\n        self.category_mappings = self._load_category_mappings()\n        self.results: List[ClassificationResult] = []\n\n    def _load_category_mappings(self) -> Dict[str, List[str]]:\n        \"\"\"Load Revit/IFC category to classification mappings.\"\"\"\n        return {\n            # Structural\n            \"Structural Columns\": [\"B10\", \"05 12 00\", \"column\", \"structural\"],\n            \"Structural Framing\": [\"B10\", \"05 12 00\", \"beam\", \"framing\"],\n            \"Structural Foundations\": [\"A10\", \"03 30 00\", \"foundation\", \"footing\"],\n            \"Floors\": [\"B1010\", \"03 30 00\", \"floor\", \"slab\"],\n            # Architectural\n            \"Walls\": [\"B20\", \"04\", \"wall\", \"partition\"],\n            \"Curtain Walls\": [\"B2010\", \"08 44 00\", \"curtain wall\", \"glazing\"],\n            \"Windows\": [\"B2020\", \"08 50 00\", \"window\", \"glazing\"],\n            \"Doors\": [\"C10\", \"08 10 00\", \"door\", \"opening\"],\n            \"Roofs\": [\"B30\", \"07 50 00\", \"roof\", \"roofing\"],\n            \"Ceilings\": [\"C30\", \"09 51 00\", \"ceiling\", \"finish\"],\n            \"Stairs\": [\"C20\", \"05 51 00\", \"stair\", \"railing\"],\n            # MEP\n            \"Ducts\": [\"D30\", \"23 31 00\", \"duct\", \"hvac\"],\n            \"Pipes\": [\"D20\", \"22 11 00\", \"pipe\", \"plumbing\"],\n            \"Electrical Equipment\": [\"D50\", \"26 20 00\", \"electrical\", \"panel\"],\n            \"Lighting Fixtures\": [\"D50\", \"26 51 00\", \"light\", \"fixture\"],\n            \"Sprinklers\": [\"D40\", \"21 13 00\", \"sprinkler\", \"fire protection\"],\n            \"Mechanical Equipment\": [\"D30\", \"23 70 00\", \"ahu\", \"hvac equipment\"],\n        }\n\n    def classify_element(self,\n                        element_id: str,\n                        element_name: str,\n                        category: str,\n                        properties: Dict[str, Any] = None,\n                        target_systems: List[ClassificationSystem] = None) -> ClassificationResult:\n        \"\"\"Classify a single BIM element.\"\"\"\n\n        target_systems = target_systems or [ClassificationSystem.UNIFORMAT, ClassificationSystem.MASTERFORMAT]\n        suggestions = []\n\n        # Get keywords from category mapping\n        keywords = self.category_mappings.get(category, [])\n\n        # Add keywords from element name\n        name_words = re.findall(r'\\w+', element_name.lower())\n        keywords.extend(name_words)\n\n        # Add keywords from properties\n        if properties:\n            for key, value in properties.items():\n                if isinstance(value, str):\n                    keywords.extend(re.findall(r'\\w+', value.lower()))\n\n        # Search classification codes\n        for system in target_systems:\n            for keyword in keywords:\n                matches = self.db.search(keyword, system)\n                for match in matches:\n                    confidence = self._calculate_confidence(match, keywords, category)\n                    suggestions.append((match, confidence))\n\n        # Remove duplicates and sort by confidence\n        seen = set()\n        unique_suggestions = []\n        for code, conf in sorted(suggestions, key=lambda x: x[1], reverse=True):\n            if code.code not in seen:\n                seen.add(code.code)\n                unique_suggestions.append((code, conf))\n\n        result = ClassificationResult(\n            element_id=element_id,\n            element_name=element_name,\n            element_category=category,\n            suggested_codes=unique_suggestions[:5],\n            selected_code=unique_suggestions[0][0] if unique_suggestions else None\n        )\n\n        self.results.append(result)\n        return result\n\n    def _calculate_confidence(self, code: ClassificationCode,\n                             keywords: List[str], category: str) -> float:\n        \"\"\"Calculate classification confidence score.\"\"\"\n        score = 0.0\n\n        # Direct category match\n        if category in self.category_mappings:\n            if code.code in self.category_mappings[category]:\n                score += 0.5\n\n        # Keyword matches\n        keyword_matches = sum(1 for kw in keywords if kw.lower() in\n                            [k.lower() for k in code.keywords])\n        score += min(keyword_matches * 0.1, 0.3)\n\n        # Title match\n        title_words = code.title.lower().split()\n        title_matches = sum(1 for kw in keywords if kw.lower() in title_words)\n        score += min(title_matches * 0.1, 0.2)\n\n        return min(score, 1.0)\n\n    def classify_batch(self, elements_df: pd.DataFrame,\n                      id_column: str = 'element_id',\n                      name_column: str = 'name',\n                      category_column: str = 'category') -> pd.DataFrame:\n        \"\"\"Classify multiple elements from DataFrame.\"\"\"\n\n        results = []\n        for _, row in elements_df.iterrows():\n            result = self.classify_element(\n                element_id=str(row[id_column]),\n                element_name=str(row[name_column]),\n                category=str(row[category_column]),\n                properties=row.to_dict()\n            )\n\n            results.append({\n                'element_id': result.element_id,\n                'element_name': result.element_name,\n        ","tagline":"Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.","category":"coding-agents","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/bim-classification-ai","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-classification-ai#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":39.96},"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 declares only python3 as a required binary, but the implementation uses pandas (import pandas as pd). This dependency is not declared in metadata or setup instructions."]},"trust":{"version":"trust-score-v5","score":61,"base_score":69,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["61/100 Trust Score v5","69/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","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"]},"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":64,"weight":0.12,"status":"info","detail":"command execution surface, database 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 bim-classification-ai"},{"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":64,"weight":0.07,"status":"info","detail":"shell or command execution, database 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/bim-classification-ai"},{"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, database surface"},{"status":"pass","label":"Install availability","detail":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-classification-ai"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution, database 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/bim-classification-ai"},{"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":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"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 declares only python3 as a required binary, but the implementation uses pandas (import pandas as pd). 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This dependency is not declared in metadata or setup instructions.","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":["coding-agents","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-classification-ai","trust_score":61,"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"],"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":["coding-agents","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"],"knownRisks":["The skill declares only python3 as a required binary, but the implementation uses pandas (import pandas as pd). 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This dependency is not declared in metadata or setup instructions."],"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. 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This dependency is not declared in metadata or setup instructions.","The metadata restricts OS to win32, which may be unnecessarily limiting for a Python-based skill that could work cross-platform.","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 bim-classification-ai before installing it in an agent workflow","coding-agents","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 bim-classification-ai"]},{"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 bim-classification-ai"]},{"id":"trust_score","label":"Trust score","status":"warn","score":69,"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":["The skill declares only python3 as a required binary, but the implementation uses pandas (import pandas as pd). This dependency is not declared in metadata or setup instructions."]},{"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":64,"required_for_auto_install":true,"detail":"shell or command execution, database access","evidence":["Shell or command execution: high","Network access: medium","Database 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-bim-classification-ai/evals","api":"/api/agent/evals?slug=datadrivenconstruction-bim-classification-ai","text":"/api/agent/evals?slug=datadrivenconstruction-bim-classification-ai&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"datadrivenconstruction-bim-classification-ai","name":"bim-classification-ai","description":"Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.","category":"coding-agents","url":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-classification-ai","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-classification-ai","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","Inspect source files","Explain architecture"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-classification-ai","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-bim-classification-ai"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"bim-classification-ai\" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-classification-ai. 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: Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes. 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-bim-classification-ai\",\"task\":\"Install bim-classification-ai\",\"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 \"bim-classification-ai\" as a Claude Code skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-classification-ai. 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: Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes. 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-bim-classification-ai\",\"task\":\"Install bim-classification-ai\",\"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 \"bim-classification-ai\" from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-classification-ai 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: Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes. 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-bim-classification-ai\",\"task\":\"Install bim-classification-ai\",\"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-bim-classification-ai/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-bim-classification-ai"},"trust":{"score":69,"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/bim-classification-ai","install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-classification-ai","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, database 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":["coding-agents","agent-skill"],"known_risks":["The skill declares only python3 as a required binary, but the implementation uses pandas (import pandas as pd). This dependency is not declared in metadata or setup instructions.","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":["The skill declares only python3 as a required binary, but the implementation uses pandas (import pandas as pd). This dependency is not declared in metadata or setup instructions.","The metadata restricts OS to win32, which may be unnecessarily limiting for a Python-based skill that could work cross-platform.","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":"Coding and developer agents","scenario":"Coding 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 declares only python3 as a required binary, but the implementation uses pandas (import pandas as pd). This dependency is not declared in metadata or setup instructions.","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","The metadata restricts OS to win32, which may be unnecessarily limiting for a Python-based skill that could work cross-platform.","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use bim-classification-ai 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: 69/100 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-bim-classification-ai (bim-classification-ai)","install_command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-classification-ai","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-bim-classification-ai","task":"Use bim-classification-ai 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-bim-classification-ai","api":"https://www.openagentskill.com/api/agent/skills/datadrivenconstruction-bim-classification-ai","audit":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-classification-ai/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=datadrivenconstruction-bim-classification-ai&task=Use%20bim-classification-ai%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20bim-classification-ai%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20bim-classification-ai%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/datadrivenconstruction-bim-classification-ai/install","manifest":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-bim-classification-ai"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"datadrivenconstruction-bim-classification-ai","name":"bim-classification-ai","description":"Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.","category":"coding-agents","url":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-classification-ai","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-classification-ai","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","Inspect source files","Explain architecture"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-classification-ai","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-bim-classification-ai"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"bim-classification-ai\" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-classification-ai. 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: Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes. 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-bim-classification-ai\",\"task\":\"Install bim-classification-ai\",\"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 \"bim-classification-ai\" as a Claude Code skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-classification-ai. 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: Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes. 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-bim-classification-ai\",\"task\":\"Install bim-classification-ai\",\"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 \"bim-classification-ai\" from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-classification-ai 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: Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes. 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-bim-classification-ai\",\"task\":\"Install bim-classification-ai\",\"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-bim-classification-ai/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-bim-classification-ai"},"trust":{"score":69,"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/bim-classification-ai","install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-classification-ai","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, database 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":["coding-agents","agent-skill"],"known_risks":["The skill declares only python3 as a required binary, but the implementation uses pandas (import pandas as pd). This dependency is not declared in metadata or setup instructions.","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":["The skill declares only python3 as a required binary, but the implementation uses pandas (import pandas as pd). This dependency is not declared in metadata or setup instructions.","The metadata restricts OS to win32, which may be unnecessarily limiting for a Python-based skill that could work cross-platform.","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":"Coding and developer agents","scenario":"Coding 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 declares only python3 as a required binary, but the implementation uses pandas (import pandas as pd). This dependency is not declared in metadata or setup instructions.","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","The metadata restricts OS to win32, which may be unnecessarily limiting for a Python-based skill that could work cross-platform.","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use bim-classification-ai 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: 69/100 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-bim-classification-ai (bim-classification-ai)","install_command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-classification-ai","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-bim-classification-ai","task":"Use bim-classification-ai 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-bim-classification-ai","api":"https://www.openagentskill.com/api/agent/skills/datadrivenconstruction-bim-classification-ai","audit":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-classification-ai/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=datadrivenconstruction-bim-classification-ai&task=Use%20bim-classification-ai%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20bim-classification-ai%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20bim-classification-ai%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/datadrivenconstruction-bim-classification-ai/install","manifest":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-bim-classification-ai"}},"supply_profile":{"track":{"slug":"coding","label":"Coding and developer agents","shortLabel":"Coding","description":"Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills."},"scenario":{"label":"Coding agents","description":"I need a coding agent that can understand a repository, edit code, and review pull requests.","useCases":[{"slug":"browser-automation","title":"Browser automation"},{"slug":"coding-agents","title":"Coding agents"},{"slug":"workflow-automation","title":"Workflow automation"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-classification-ai","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":282,"starsLabel":"282","forks":74,"license":"MIT","qualityScore":71,"trustScore":69,"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":["The skill declares only python3 as a required binary, but the implementation uses pandas (import pandas as pd). This dependency is not declared in metadata or setup instructions.","The metadata restricts OS to win32, which may be unnecessarily limiting for a Python-based skill that could work cross-platform.","Quality score needs review","Needs review"]},"coverageTags":["Coding","Coding agents","coding-agents","agent-skill"]},"audit":{"audit_score":78,"risk_level":"needs_review","risk_label":"Needs review","quality_score":71,"trust_score":69,"maintenance_score":100,"security_score":76,"install_score":92,"warnings":["The skill declares only python3 as a required binary, but the implementation uses pandas (import pandas as pd). This dependency is not declared in metadata or setup instructions.","The metadata restricts OS to win32, which may be unnecessarily limiting for a Python-based skill that could work cross-platform.","Quality score needs review"]},"quality_signals":{"model":"v2","star_score":17.16,"usage_score":0,"review_score":4.8,"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":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"sports-analytics","title":"Sports analytics","url":"https://www.openagentskill.com/use-cases/sports-analytics"}],"stacks":[{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"}],"install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-classification-ai","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-bim-classification-ai","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 \"bim-classification-ai\" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-classification-ai. 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: Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes. 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-bim-classification-ai\",\"task\":\"Install bim-classification-ai\",\"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 \"bim-classification-ai\" as a Claude Code skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-classification-ai. 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: Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes. 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-bim-classification-ai\",\"task\":\"Install bim-classification-ai\",\"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 \"bim-classification-ai\" from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-classification-ai 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: Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes. 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-bim-classification-ai\",\"task\":\"Install bim-classification-ai\",\"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/bim-classification-ai","github_repo":"datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-classification-ai","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-classification-ai","api":"/api/agent/skills/datadrivenconstruction-bim-classification-ai","install_api":"/api/skills/datadrivenconstruction-bim-classification-ai/install"},"meta":{"created_at":"2026-08-22T10:36:17.942882+00:00","updated_at":"2026-08-22T10:36:17.942882+00:00","agent_friendly":true}}