{"slug":"datadrivenconstruction-bim-clash-detection","name":"bim-clash-detection","description":"Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.","long_description":"---\nname: \"bim-clash-detection\"\ndescription: \"Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.\"\nhomepage: \"https://datadrivenconstruction.io\"\nmetadata: {\"openclaw\": {\"emoji\": \"🔍\", \"os\": [\"darwin\", \"linux\", \"win32\"], \"homepage\": \"https://datadrivenconstruction.io\", \"requires\": {\"bins\": [\"python3\"]}}}\n---\n# BIM Clash Detection\n\n## Business Case\n\n### Problem Statement\nCoordination issues cause significant rework:\n- MEP vs structural conflicts discovered on site\n- Late design changes increase costs\n- Manual clash review is time-consuming\n- No standardized clash categorization\n\n### Solution\nAutomated clash detection and analysis system that identifies conflicts between building systems and provides prioritized resolution recommendations.\n\n### Business Value\n- **Cost savings** - Detect issues before construction\n- **Time reduction** - Automated clash identification\n- **Better coordination** - Systematic conflict resolution\n- **Quality improvement** - Fewer field issues\n\n## Technical Implementation\n\n```python\nimport pandas as pd\nfrom datetime import datetime\nfrom typing import Dict, Any, List, Optional, Tuple\nfrom dataclasses import dataclass, field\nfrom enum import Enum\nimport math\n\n\nclass ClashType(Enum):\n    \"\"\"Types of clashes.\"\"\"\n    HARD = \"hard\"           # Physical intersection\n    SOFT = \"soft\"           # Clearance violation\n    WORKFLOW = \"workflow\"   # Sequencing conflict\n    DUPLICATE = \"duplicate\" # Duplicated elements\n\n\nclass ClashStatus(Enum):\n    \"\"\"Clash resolution status.\"\"\"\n    NEW = \"new\"\n    ACTIVE = \"active\"\n    RESOLVED = \"resolved\"\n    APPROVED = \"approved\"\n    IGNORED = \"ignored\"\n\n\nclass ClashSeverity(Enum):\n    \"\"\"Clash severity level.\"\"\"\n    CRITICAL = \"critical\"\n    MAJOR = \"major\"\n    MINOR = \"minor\"\n    INFO = \"info\"\n\n\nclass Discipline(Enum):\n    \"\"\"BIM disciplines.\"\"\"\n    ARCHITECTURAL = \"architectural\"\n    STRUCTURAL = \"structural\"\n    MECHANICAL = \"mechanical\"\n    ELECTRICAL = \"electrical\"\n    PLUMBING = \"plumbing\"\n    FIRE_PROTECTION = \"fire_protection\"\n    CIVIL = \"civil\"\n\n\n@dataclass\nclass BoundingBox:\n    \"\"\"3D bounding box.\"\"\"\n    min_x: float\n    min_y: float\n    min_z: float\n    max_x: float\n    max_y: float\n    max_z: float\n\n    def intersects(self, other: 'BoundingBox') -> bool:\n        \"\"\"Check if boxes intersect.\"\"\"\n        return (self.min_x <= other.max_x and self.max_x >= other.min_x and\n                self.min_y <= other.max_y and self.max_y >= other.min_y and\n                self.min_z <= other.max_z and self.max_z >= other.min_z)\n\n    def volume(self) -> float:\n        \"\"\"Calculate bounding box volume.\"\"\"\n        return ((self.max_x - self.min_x) *\n                (self.max_y - self.min_y) *\n                (self.max_z - self.min_z))\n\n    def center(self) -> Tuple[float, float, float]:\n        \"\"\"Get center point.\"\"\"\n        return (\n            (self.min_x + self.max_x) / 2,\n            (self.min_y + self.max_y) / 2,\n            (self.min_z + self.max_z) / 2\n        )\n\n\n@dataclass\nclass BIMElement:\n    \"\"\"BIM element representation.\"\"\"\n    element_id: str\n    name: str\n    discipline: Discipline\n    category: str  # e.g., \"Duct\", \"Beam\", \"Pipe\"\n    level: str\n    bounding_box: BoundingBox\n    properties: Dict[str, Any] = field(default_factory=dict)\n\n    def distance_to(self, other: 'BIMElement') -> float:\n        \"\"\"Calculate distance between element centers.\"\"\"\n        c1 = self.bounding_box.center()\n        c2 = other.bounding_box.center()\n        return math.sqrt(\n            (c2[0] - c1[0])**2 +\n            (c2[1] - c1[1])**2 +\n            (c2[2] - c1[2])**2\n        )\n\n\n@dataclass\nclass Clash:\n    \"\"\"Clash between two elements.\"\"\"\n    clash_id: str\n    element_a: BIMElement\n    element_b: BIMElement\n    clash_type: ClashType\n    severity: ClashSeverity\n    status: ClashStatus\n    distance: float  # Penetration depth (negative) or clearance gap\n    location: Tuple[float, float, float]\n    detected_at: datetime\n    resolved_at: Optional[datetime] = None\n    assigned_to: Optional[str] = None\n    notes: str = \"\"\n\n    def to_dict(self) -> Dict[str, Any]:\n        return {\n            'clash_id': self.clash_id,\n            'element_a_id': self.element_a.element_id,\n            'element_a_name': self.element_a.name,\n            'element_a_discipline': self.element_a.discipline.value,\n            'element_b_id': self.element_b.element_id,\n            'element_b_name': self.element_b.name,\n            'element_b_discipline': self.element_b.discipline.value,\n            'clash_type': self.clash_type.value,\n            'severity': self.severity.value,\n            'status': self.status.value,\n            'distance': round(self.distance, 3),\n            'location_x': self.location[0],\n            'location_y': self.location[1],\n            'location_z': self.location[2],\n            'level': self.element_a.level,\n            'detected_at': self.detected_at.isoformat(),\n            'assigned_to': self.assigned_to,\n            'notes': self.notes\n        }\n\n\n@dataclass\nclass ClashTest:\n    \"\"\"Clash test configuration.\"\"\"\n    name: str\n    discipline_a: Discipline\n    discipline_b: Discipline\n    clash_type: ClashType\n    tolerance: float = 0.0  # Clearance tolerance in meters\n    enabled: bool = True\n\n\nclass BIMClashDetector:\n    \"\"\"Detect and manage BIM clashes.\"\"\"\n\n    def __init__(self):\n        self.elements: List[BIMElement] = []\n        self.clashes: List[Clash] = []\n        self.clash_tests: List[ClashTest] = []\n        self._clash_counter = 0\n\n    def load_elements(self, elements_df: pd.DataFrame) -> int:\n        \"\"\"Load BIM elements from DataFrame.\"\"\"\n        loaded = 0\n        for _, row in elements_df.iterrows():\n            element = BIMElement(\n                element_id=str(row.get('element_id', '')),\n                name=str(row.get('name', '')),\n                discipline=Discipline(row.get('discipline', 'architectural')),\n                category=str(row.get('category', '')),\n                level=str(row.get('level', '')),\n                bounding_box=BoundingBox(\n                    min_x=float(row.get('min_x', 0)),\n                    min_y=float(row.get('min_y', 0)),\n                    min_z=float(row.get('min_z', 0)),\n                    max_x=float(row.get('max_x', 0)),\n                    max_y=float(row.get('max_y', 0)),\n                    max_z=float(row.get('max_z', 0))\n                )\n            )\n            self.elements.append(element)\n            loaded += 1\n        return loaded\n\n    def add_clash_test(self, test: ClashTest):\n        \"\"\"Add clash test configuration.\"\"\"\n        self.clash_tests.append(test)\n\n    def setup_standard_tests(self):\n        \"\"\"Setup standard MEP coordination tests.\"\"\"\n        standard_tests = [\n            ClashTest(\"MEP vs Structure\", Discipline.MECHANICAL, Discipline.STRUCTURAL, ClashType.HARD),\n            ClashTest(\"Electrical vs Structure\", Discipline.ELECTRICAL, Discipline.STRUCTURAL, ClashType.HARD),\n            ClashTest(\"Plumbing vs Structure\", Discipline.PLUMBING, Discipline.STRUCTURAL, ClashType.HARD),\n            ClashTest(\"MEP vs MEP\", Discipline.MECHANICAL, Discipline.ELECTRICAL, ClashType.HARD),\n            ClashTest(\"Duct Clearance\", Discipline.MECHANICAL, Discipline.MECHANICAL, ClashType.SOFT, tolerance=0.05),\n            ClashTest(\"Fire Protection\", Discipline.FIRE_PROTECTION, Discipline.STRUCTURAL, ClashType.HARD),\n        ]\n        for test in standard_tests:\n            self.add_clash_test(test)\n\n    def run_clash_detection(self) -> List[Clash]:\n        \"\"\"Run all clash tests.\"\"\"\n        new_clashes = []\n\n        for test in self.clash_tests:\n            if not test.enabled:\n                continue\n\n            # Filter elements by discipline\n            elements_a = [e for e in self.elements if e.discipline == test.discipline_a]\n            elements_b = [e for e in self.elements if e.discipline == test.discipline_b]\n\n            # Check all pairs\n            for elem_a in elements_a:\n                for elem_b in elements_b:\n                    if elem_a.element_id == elem_b.element_id:\n                        continue\n\n                    clash = self._check_clash(elem_a, elem_b, test)\n                    if clash:\n                        new_clashes.append(clash)\n\n        self.clashes.extend(new_clashes)\n        return new_clashes\n\n    def _check_clash(self, elem_a: BIMElement, elem_b: BIMElement,\n                     test: ClashTest) -> Optional[Clash]:\n        \"\"\"Check if two elements clash.\"\"\"\n\n        # Expand bounding box by tolerance for soft clashes\n        box_a = elem_a.bounding_box\n        box_b = elem_b.bounding_box\n\n        if test.clash_type == ClashType.SOFT:\n            # Add clearance tolerance\n            expanded_a = BoundingBox(\n                box_a.min_x - test.tolerance, box_a.min_y - test.tolerance, box_a.min_z - test.tolerance,\n                box_a.max_x + test.tolerance, box_a.max_y + test.tolerance, box_a.max_z + test.tolerance\n            )\n            intersects = expanded_a.intersects(box_b)\n        else:\n            intersects = box_a.intersects(box_b)\n\n        if not intersects:\n            return None\n\n        # Calculate clash point and severity\n        self._clash_counter += 1\n        clash_id = f\"CLH-{self._clash_counter:05d}\"\n\n        # Clash location (center of intersection)\n        location = (\n            (max(box_a.min_x, box_b.min_x) + min(box_a.max_x, box_b.max_x)) / 2,\n            (max(box_a.min_y, box_b.min_y) + min(box_a.max_y, box_b.max_y)) / 2,\n            (max(box_a.min_z, box_b.min_z) + min(box_a.max_z, box_b.max_z)) / 2\n        )\n\n        # Calculate penetration depth\n        distance = elem_a.distance_to(elem_b)\n\n        # Determine severity\n        if test.clash_type == ClashType.HARD:\n            severity = ClashSeverity.CRITICAL if distance < 0.1 else ClashSeverity.MAJOR\n        else:\n            severity = ClashSeverity.MINOR if distance > test.tolerance else ClashSeverity.MAJOR\n\n        return Clash(\n            clash_id=clash_id,\n            element_a=elem_a,\n            element_b=elem_b,\n            clash_type=test.clash_type,\n            severity=severity,\n            status=ClashStatus.NEW,\n            distance=distance,\n            location=location,\n            detected_at=datetime.now()\n        )\n\n    def get_summary(self) -> Dict[str, Any]:\n        \"\"\"Get clash detection summary.\"\"\"\n        by_severity = {}\n        by_discipline = {}\n        by_status = {}\n\n        for clash in self.clashes:\n            # By severity\n            sev = clash.severity.value\n            by_severity[sev] = by_severity.get(sev, 0) + 1\n\n            # By discipline pair\n            pair = f\"{clash.element_a.discipline.value} vs {clash.element_b.discipline.value}\"\n            by_discipline[pair] = by_discipline.get(pair, 0) + 1\n\n            # By status\n            stat = clash.status.value\n            by_status[stat] = by_status.get(stat, 0) + 1\n\n        return {\n            'total_clashes': len(self.clashes),\n            'by_severity': by_severity,\n            'by_discipline': by_discipline,\n            'by_status': by_status,\n            'elements_checked': len(self.elements),\n            'tests_run': len([t for t in self.clash_tests if t.enabled])\n        }\n\n    def export_to_dataframe(self) -> pd.DataFrame:\n        \"\"\"Export clashes to DataFrame.\"\"\"\n        return pd.DataFrame([c.to_dict() for c in self.clashes])\n\n    def resolve_clash(self, clash_id: str, resolution_note: str):\n        \"\"\"Mark clash as resolved.\"\"\"\n        for clash in self.clashes:\n            if clash.clash_id == clash_id:\n                clash.status = ClashStatus.RESOLVED\n                clash.resolved_at = datetime.now()\n                clash.notes = resolution_note\n                break\n\n    def assign_clash(self, clash_id: str, assignee: str):\n        \"\"\"Assign clash to team member.\"\"\"\n        for clash in self.clashes:\n            if clash.clash_id == ","tagline":"Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.","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/bim-clash-detection","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-clash-detection#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":40.11},"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 provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository."]},"trust":{"version":"trust-score-v5","score":64,"base_score":72,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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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 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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":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install 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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":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-clash-detection"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"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-clash-detection"},{"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 provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","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/bim-clash-detection","install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-clash-detection","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","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 bim-clash-detection","policy":"human_review_before_install","label":"Human review before 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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 bim-clash-detection","trust_score":64,"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":["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"],"knownRisks":["The provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","Quality score needs review"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":72,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":72,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","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":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"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-clash-detection"},{"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":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"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-clash-detection"},{"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":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-clash-detection"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"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-clash-detection"},{"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"],"warnings":["The provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","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/bim-clash-detection","install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-clash-detection","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","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 bim-clash-detection","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"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["The provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","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"],"knownRisks":["The provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","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":68,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["The provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","68/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"}],"policy_warnings":["The provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository."],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["The provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","68/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":75,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Require human approval before installing into a real workspace.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Usable candidate, but the agent should surface permission and audit notes before installation.","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","The provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","SKILL.md lacks explicit setup instructions and a clear step-by-step workflow for using the provided classes, relying on the agent to implement the detection logic.","No limitations or edge-case considerations are documented (e.g., bounding box approximation accuracy, handling of incomplete models).","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":94,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate bim-clash-detection 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 bim-clash-detection"]},{"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-clash-detection"]},{"id":"trust_score","label":"Trust score","status":"warn","score":72,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","282 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":80,"required_for_auto_install":true,"detail":"Needs review","evidence":["The provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository."]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":68,"required_for_auto_install":true,"detail":"Usable candidate, but the agent should surface permission and audit notes before installation.","evidence":["Require human approval before installing into a real workspace.","The provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository."]},{"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":"pass","score":100,"required_for_auto_install":true,"detail":"no high-risk permission surface in public metadata","evidence":["Network 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-clash-detection/evals","api":"/api/agent/evals?slug=datadrivenconstruction-bim-clash-detection","text":"/api/agent/evals?slug=datadrivenconstruction-bim-clash-detection&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"datadrivenconstruction-bim-clash-detection","name":"bim-clash-detection","description":"Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.","category":"automation","url":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-clash-detection","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-clash-detection","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 repository metadata","Compare code changes"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-clash-detection","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-clash-detection"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"bim-clash-detection\" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-clash-detection. 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: Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction. 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-clash-detection\",\"task\":\"Install bim-clash-detection\",\"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-clash-detection\" 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-clash-detection. 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: Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction. 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-clash-detection\",\"task\":\"Install bim-clash-detection\",\"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-clash-detection\" from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-clash-detection 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: Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction. 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-clash-detection\",\"task\":\"Install bim-clash-detection\",\"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-clash-detection/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-bim-clash-detection"},"trust":{"score":72,"label":"Strong shortlist","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-clash-detection","install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-clash-detection","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","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 provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","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":80,"risk_level":"needs_review","risk_label":"Needs review","warnings":["The provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","SKILL.md lacks explicit setup instructions and a clear step-by-step workflow for using the provided classes, relying on the agent to implement the detection logic.","No limitations or edge-case considerations are documented (e.g., bounding box approximation accuracy, handling of incomplete models).","Quality score needs review"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":71,"label":"Strong"},"supply":{"track":"Data, BI, and analytics","scenario":"Data analysis","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 provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","No OpenAgentSkill engagement data yet","SKILL.md lacks explicit setup instructions and a clear step-by-step workflow for using the provided classes, relying on the agent to implement the detection logic.","No limitations or edge-case considerations are documented (e.g., bounding box approximation accuracy, handling of incomplete models).","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use bim-clash-detection in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 72/100 Strong shortlist","Audit: 80/100 Needs review","Safety: 68/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"datadrivenconstruction-bim-clash-detection (bim-clash-detection)","install_command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-clash-detection","risk_summary":"Needs review; Reviewed with permission notes; 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-clash-detection","task":"Use bim-clash-detection 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-clash-detection","api":"https://www.openagentskill.com/api/agent/skills/datadrivenconstruction-bim-clash-detection","audit":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-clash-detection/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=datadrivenconstruction-bim-clash-detection&task=Use%20bim-clash-detection%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20bim-clash-detection%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20bim-clash-detection%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/datadrivenconstruction-bim-clash-detection/install","manifest":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-bim-clash-detection"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"datadrivenconstruction-bim-clash-detection","name":"bim-clash-detection","description":"Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.","category":"automation","url":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-clash-detection","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-clash-detection","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 repository metadata","Compare code changes"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-clash-detection","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-clash-detection"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"bim-clash-detection\" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-clash-detection. 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: Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction. 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-clash-detection\",\"task\":\"Install bim-clash-detection\",\"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-clash-detection\" 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-clash-detection. 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: Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction. 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-clash-detection\",\"task\":\"Install bim-clash-detection\",\"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-clash-detection\" from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-clash-detection 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: Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction. 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-clash-detection\",\"task\":\"Install bim-clash-detection\",\"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-clash-detection/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-bim-clash-detection"},"trust":{"score":72,"label":"Strong shortlist","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-clash-detection","install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-clash-detection","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","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 provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","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":80,"risk_level":"needs_review","risk_label":"Needs review","warnings":["The provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","SKILL.md lacks explicit setup instructions and a clear step-by-step workflow for using the provided classes, relying on the agent to implement the detection logic.","No limitations or edge-case considerations are documented (e.g., bounding box approximation accuracy, handling of incomplete models).","Quality score needs review"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":71,"label":"Strong"},"supply":{"track":"Data, BI, and analytics","scenario":"Data analysis","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 provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","No OpenAgentSkill engagement data yet","SKILL.md lacks explicit setup instructions and a clear step-by-step workflow for using the provided classes, relying on the agent to implement the detection logic.","No limitations or edge-case considerations are documented (e.g., bounding box approximation accuracy, handling of incomplete models).","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use bim-clash-detection in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 72/100 Strong shortlist","Audit: 80/100 Needs review","Safety: 68/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"datadrivenconstruction-bim-clash-detection (bim-clash-detection)","install_command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-clash-detection","risk_summary":"Needs review; Reviewed with permission notes; 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-clash-detection","task":"Use bim-clash-detection 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-clash-detection","api":"https://www.openagentskill.com/api/agent/skills/datadrivenconstruction-bim-clash-detection","audit":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-clash-detection/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=datadrivenconstruction-bim-clash-detection&task=Use%20bim-clash-detection%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20bim-clash-detection%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20bim-clash-detection%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/datadrivenconstruction-bim-clash-detection/install","manifest":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-bim-clash-detection"}},"supply_profile":{"track":{"slug":"data","label":"Data, BI, and analytics","shortLabel":"Data","description":"CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis."},"scenario":{"label":"Data analysis","description":"I need my agent to analyze CSV data, produce insights, and explain trends.","useCases":[{"slug":"browser-automation","title":"Browser automation"},{"slug":"github-automation","title":"GitHub automation"},{"slug":"design-creative","title":"Design and creative"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-clash-detection","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":282,"starsLabel":"282","forks":74,"license":"MIT","qualityScore":71,"trustScore":72,"auditScore":80},"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 provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","SKILL.md lacks explicit setup instructions and a clear step-by-step workflow for using the provided classes, relying on the agent to implement the detection logic.","No limitations or edge-case considerations are documented (e.g., bounding box approximation accuracy, handling of incomplete models).","Quality score needs review","Needs review"]},"coverageTags":["Data","Data analysis","automation","agent-skill"]},"audit":{"audit_score":80,"risk_level":"needs_review","risk_label":"Needs review","quality_score":71,"trust_score":72,"maintenance_score":100,"security_score":83,"install_score":92,"warnings":["The provided SKILL.md excerpt is truncated, but the full file is expected to be complete in the repository.","SKILL.md lacks explicit setup instructions and a clear step-by-step workflow for using the provided classes, relying on the agent to implement the detection logic.","No limitations or edge-case considerations are documented (e.g., bounding box approximation accuracy, handling of incomplete models).","Quality score needs review"]},"quality_signals":{"model":"v2","star_score":17.16,"usage_score":0,"review_score":4.95,"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":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"design-creative","title":"Design and creative","url":"https://www.openagentskill.com/use-cases/design-creative"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"}],"stacks":[{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"}],"install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-clash-detection","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-clash-detection","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-clash-detection\" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-clash-detection. 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: Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction. 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-clash-detection\",\"task\":\"Install bim-clash-detection\",\"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-clash-detection\" 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-clash-detection. 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: Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction. 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-clash-detection\",\"task\":\"Install bim-clash-detection\",\"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-clash-detection\" from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-clash-detection 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: Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction. 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-clash-detection\",\"task\":\"Install bim-clash-detection\",\"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-clash-detection","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-clash-detection","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-clash-detection","api":"/api/agent/skills/datadrivenconstruction-bim-clash-detection","install_api":"/api/skills/datadrivenconstruction-bim-clash-detection/install"},"meta":{"created_at":"2026-08-22T10:36:05.301117+00:00","updated_at":"2026-08-22T10:36:05.301117+00:00","agent_friendly":true}}