{"slug":"datadrivenconstruction-bim-validation-report","name":"bim-validation-report","description":"Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.","long_description":"---\nname: \"bim-validation-report\"\ndescription: \"Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.\"\nhomepage: \"https://datadrivenconstruction.io\"\nmetadata: {\"openclaw\": {\"emoji\": \"🔍\", \"os\": [\"darwin\", \"linux\", \"win32\"], \"homepage\": \"https://datadrivenconstruction.io\", \"requires\": {\"bins\": [\"python3\"]}}}\n---\n# BIM Validation Report Generator\n\n## Business Case\n\n### Problem Statement\nBIM models often have quality issues:\n- Missing required properties\n- Invalid or inconsistent data\n- Non-compliant with project standards\n- Incomplete model information\n\n### Solution\nAutomated BIM validation system that checks models against configurable rules and generates detailed compliance reports.\n\n### Business Value\n- **Quality assurance** - Catch issues early\n- **Standards compliance** - Meet project requirements\n- **Automation** - Reduce manual QC effort\n- **Transparency** - Clear validation results\n\n## Technical Implementation\n\n```python\nimport pandas as pd\nfrom datetime import datetime\nfrom typing import Dict, Any, List, Optional, Callable\nfrom dataclasses import dataclass, field\nfrom enum import Enum\n\n\nclass ValidationSeverity(Enum):\n    \"\"\"Validation issue severity.\"\"\"\n    ERROR = \"error\"\n    WARNING = \"warning\"\n    INFO = \"info\"\n\n\nclass ValidationStatus(Enum):\n    \"\"\"Overall validation status.\"\"\"\n    PASSED = \"passed\"\n    PASSED_WITH_WARNINGS = \"passed_with_warnings\"\n    FAILED = \"failed\"\n\n\nclass RuleCategory(Enum):\n    \"\"\"Validation rule categories.\"\"\"\n    REQUIRED_PROPERTIES = \"required_properties\"\n    DATA_FORMAT = \"data_format\"\n    NAMING_CONVENTION = \"naming_convention\"\n    GEOMETRIC = \"geometric\"\n    CLASSIFICATION = \"classification\"\n    RELATIONSHIPS = \"relationships\"\n\n\n@dataclass\nclass ValidationRule:\n    \"\"\"Single validation rule.\"\"\"\n    rule_id: str\n    name: str\n    category: RuleCategory\n    description: str\n    severity: ValidationSeverity\n    check_function: Callable\n    applicable_categories: List[str] = field(default_factory=list)\n    enabled: bool = True\n\n\n@dataclass\nclass ValidationIssue:\n    \"\"\"Single validation issue.\"\"\"\n    issue_id: str\n    rule_id: str\n    rule_name: str\n    element_id: str\n    element_name: str\n    element_category: str\n    severity: ValidationSeverity\n    message: str\n    details: Dict[str, Any] = field(default_factory=dict)\n\n    def to_dict(self) -> Dict[str, Any]:\n        return {\n            'issue_id': self.issue_id,\n            'rule_id': self.rule_id,\n            'rule_name': self.rule_name,\n            'element_id': self.element_id,\n            'element_name': self.element_name,\n            'element_category': self.element_category,\n            'severity': self.severity.value,\n            'message': self.message\n        }\n\n\n@dataclass\nclass ValidationReport:\n    \"\"\"Complete validation report.\"\"\"\n    project_name: str\n    model_name: str\n    validated_at: datetime\n    status: ValidationStatus\n    total_elements: int\n    elements_with_issues: int\n    issues: List[ValidationIssue]\n    rules_checked: int\n    summary_by_severity: Dict[str, int]\n    summary_by_category: Dict[str, int]\n\n\nclass BIMValidationEngine:\n    \"\"\"BIM model validation engine.\"\"\"\n\n    def __init__(self, project_name: str, model_name: str):\n        self.project_name = project_name\n        self.model_name = model_name\n        self.rules: List[ValidationRule] = []\n        self.issues: List[ValidationIssue] = []\n        self._issue_counter = 0\n\n        # Load default rules\n        self._load_default_rules()\n\n    def _load_default_rules(self):\n        \"\"\"Load standard validation rules.\"\"\"\n\n        # Required properties rules\n        self.add_rule(ValidationRule(\n            rule_id=\"REQ-001\",\n            name=\"Element Name Required\",\n            category=RuleCategory.REQUIRED_PROPERTIES,\n            description=\"All elements must have a name\",\n            severity=ValidationSeverity.ERROR,\n            check_function=lambda e: bool(e.get('name'))\n        ))\n\n        self.add_rule(ValidationRule(\n            rule_id=\"REQ-002\",\n            name=\"Level Assignment Required\",\n            category=RuleCategory.REQUIRED_PROPERTIES,\n            description=\"Elements must be assigned to a level\",\n            severity=ValidationSeverity.WARNING,\n            check_function=lambda e: bool(e.get('level')),\n            applicable_categories=[\"Walls\", \"Floors\", \"Doors\", \"Windows\"]\n        ))\n\n        self.add_rule(ValidationRule(\n            rule_id=\"REQ-003\",\n            name=\"Material Required\",\n            category=RuleCategory.REQUIRED_PROPERTIES,\n            description=\"Structural elements must have material defined\",\n            severity=ValidationSeverity.ERROR,\n            check_function=lambda e: bool(e.get('material')),\n            applicable_categories=[\"Structural Columns\", \"Structural Framing\", \"Floors\"]\n        ))\n\n        # Naming convention rules\n        self.add_rule(ValidationRule(\n            rule_id=\"NAM-001\",\n            name=\"No Special Characters\",\n            category=RuleCategory.NAMING_CONVENTION,\n            description=\"Names should not contain special characters\",\n            severity=ValidationSeverity.WARNING,\n            check_function=self._check_no_special_chars\n        ))\n\n        self.add_rule(ValidationRule(\n            rule_id=\"NAM-002\",\n            name=\"Name Length Check\",\n            category=RuleCategory.NAMING_CONVENTION,\n            description=\"Names should be between 3 and 100 characters\",\n            severity=ValidationSeverity.INFO,\n            check_function=lambda e: 3 <= len(e.get('name', '')) <= 100\n        ))\n\n        # Classification rules\n        self.add_rule(ValidationRule(\n            rule_id=\"CLS-001\",\n            name=\"Classification Code Present\",\n            category=RuleCategory.CLASSIFICATION,\n            description=\"Elements should have classification code\",\n            severity=ValidationSeverity.WARNING,\n            check_function=lambda e: bool(e.get('classification_code') or e.get('uniformat'))\n        ))\n\n        # Geometric rules\n        self.add_rule(ValidationRule(\n            rule_id=\"GEO-001\",\n            name=\"Non-Zero Volume\",\n            category=RuleCategory.GEOMETRIC,\n            description=\"3D elements must have non-zero volume\",\n            severity=ValidationSeverity.ERROR,\n            check_function=lambda e: float(e.get('volume', 0)) > 0,\n            applicable_categories=[\"Walls\", \"Floors\", \"Structural Columns\", \"Structural Framing\"]\n        ))\n\n        self.add_rule(ValidationRule(\n            rule_id=\"GEO-002\",\n            name=\"Valid Bounding Box\",\n            category=RuleCategory.GEOMETRIC,\n            description=\"Elements must have valid bounding box\",\n            severity=ValidationSeverity.ERROR,\n            check_function=self._check_valid_bbox\n        ))\n\n    def _check_no_special_chars(self, element: Dict[str, Any]) -> bool:\n        \"\"\"Check name for special characters.\"\"\"\n        import re\n        name = element.get('name', '')\n        return bool(re.match(r'^[\\w\\s\\-\\.]+$', name))\n\n    def _check_valid_bbox(self, element: Dict[str, Any]) -> bool:\n        \"\"\"Check for valid bounding box.\"\"\"\n        try:\n            min_x = float(element.get('min_x', 0))\n            max_x = float(element.get('max_x', 0))\n            min_y = float(element.get('min_y', 0))\n            max_y = float(element.get('max_y', 0))\n            min_z = float(element.get('min_z', 0))\n            max_z = float(element.get('max_z', 0))\n            return max_x > min_x and max_y > min_y and max_z > min_z\n        except (ValueError, TypeError):\n            return False\n\n    def add_rule(self, rule: ValidationRule):\n        \"\"\"Add validation rule.\"\"\"\n        self.rules.append(rule)\n\n    def add_custom_rule(self, rule_id: str, name: str, category: RuleCategory,\n                       check_function: Callable, severity: ValidationSeverity = ValidationSeverity.WARNING,\n                       description: str = \"\", categories: List[str] = None):\n        \"\"\"Add custom validation rule.\"\"\"\n        rule = ValidationRule(\n            rule_id=rule_id,\n            name=name,\n            category=category,\n            description=description,\n            severity=severity,\n            check_function=check_function,\n            applicable_categories=categories or []\n        )\n        self.add_rule(rule)\n\n    def validate_element(self, element: Dict[str, Any]) -> List[ValidationIssue]:\n        \"\"\"Validate single element against all rules.\"\"\"\n        issues = []\n        element_category = element.get('category', '')\n\n        for rule in self.rules:\n            if not rule.enabled:\n                continue\n\n            # Check if rule applies to this category\n            if rule.applicable_categories and element_category not in rule.applicable_categories:\n                continue\n\n            try:\n                passed = rule.check_function(element)\n                if not passed:\n                    self._issue_counter += 1\n                    issue = ValidationIssue(\n                        issue_id=f\"ISS-{self._issue_counter:05d}\",\n                        rule_id=rule.rule_id,\n                        rule_name=rule.name,\n                        element_id=str(element.get('element_id', '')),\n                        element_name=str(element.get('name', '')),\n                        element_category=element_category,\n                        severity=rule.severity,\n                        message=rule.description\n                    )\n                    issues.append(issue)\n            except Exception as e:\n                # Rule check failed\n                self._issue_counter += 1\n                issue = ValidationIssue(\n                    issue_id=f\"ISS-{self._issue_counter:05d}\",\n                    rule_id=rule.rule_id,\n                    rule_name=rule.name,\n                    element_id=str(element.get('element_id', '')),\n                    element_name=str(element.get('name', '')),\n                    element_category=element_category,\n                    severity=ValidationSeverity.ERROR,\n                    message=f\"Rule check error: {str(e)}\"\n                )\n                issues.append(issue)\n\n        return issues\n\n    def validate_model(self, elements_df: pd.DataFrame) -> ValidationReport:\n        \"\"\"Validate entire BIM model.\"\"\"\n        self.issues = []\n        elements_with_issues = set()\n\n        for _, row in elements_df.iterrows():\n            element = row.to_dict()\n            element_issues = self.validate_element(element)\n\n            if element_issues:\n                elements_with_issues.add(element.get('element_id'))\n                self.issues.extend(element_issues)\n\n        # Calculate summaries\n        summary_by_severity = {\n            'error': sum(1 for i in self.issues if i.severity == ValidationSeverity.ERROR),\n            'warning': sum(1 for i in self.issues if i.severity == ValidationSeverity.WARNING),\n            'info': sum(1 for i in self.issues if i.severity == ValidationSeverity.INFO)\n        }\n\n        summary_by_category = {}\n        for issue in self.issues:\n            cat = issue.element_category\n            summary_by_category[cat] = summary_by_category.get(cat, 0) + 1\n\n        # Determine overall status\n        if summary_by_severity['error'] > 0:\n            status = ValidationStatus.FAILED\n        elif summary_by_severity['warning'] > 0:\n            status = ValidationStatus.PASSED_WITH_WARNINGS\n        else:\n            status = ValidationStatus.PASSED\n\n        return ValidationReport(\n            project_name=self.project_name,\n            model_name=self.model_name,\n            validated_at=datetime.now(),\n            status=status,\n            total_elements=len(elements_df),\n            elements_with_issues=len(elements_with_issues),\n            issues=self.issues,\n            rules_checked=len([r for r in self.rules if r.enabled]),\n            summary_by_severity=summary_by_severity,\n            summary_by_c","tagline":"Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.","category":"security","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-validation-report","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-validation-report#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":["SKILL.md is truncated in the excerpt but appears comprehensive; the full file likely contains more detail."]},"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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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-validation-report"},{"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-validation-report"},{"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-validation-report"},{"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-validation-report"},{"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":["SKILL.md is truncated in the excerpt but appears comprehensive; 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issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"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-validation-report"},{"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-validation-report"},{"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":["SKILL.md is truncated in the excerpt but appears comprehensive; 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Check data quality, completeness, and compliance with standards.","category":"security","url":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-validation-report","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-validation-report","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","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-validation-report","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-validation-report"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"bim-validation-report\" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-validation-report. 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: Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards. 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-validation-report\",\"task\":\"Install bim-validation-report\",\"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-validation-report\" 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-validation-report. 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: Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards. 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-validation-report\",\"task\":\"Install bim-validation-report\",\"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-validation-report\" from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-validation-report 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: Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards. 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-validation-report\",\"task\":\"Install bim-validation-report\",\"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-validation-report/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-bim-validation-report"},"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-validation-report","install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-validation-report","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":["security","agent-skill"],"known_risks":["SKILL.md is truncated in the excerpt but appears comprehensive; the full file likely contains more detail.","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. 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the full file likely contains more detail.","No OpenAgentSkill engagement data yet","Input format and output examples are not explicitly defined in SKILL.md, though instructions.md gives some guidance.","No explicit limitations or failure modes are described beyond basic validation.","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use bim-validation-report 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-validation-report (bim-validation-report)","install_command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-validation-report","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-validation-report","task":"Use bim-validation-report 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-validation-report","api":"https://www.openagentskill.com/api/agent/skills/datadrivenconstruction-bim-validation-report","audit":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-validation-report/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=datadrivenconstruction-bim-validation-report&task=Use%20bim-validation-report%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20bim-validation-report%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20bim-validation-report%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/datadrivenconstruction-bim-validation-report/install","manifest":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-bim-validation-report"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"datadrivenconstruction-bim-validation-report","name":"bim-validation-report","description":"Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.","category":"security","url":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-validation-report","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-validation-report","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","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-validation-report","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-validation-report"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"bim-validation-report\" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-validation-report. 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: Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards. 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-validation-report\",\"task\":\"Install bim-validation-report\",\"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-validation-report\" 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-validation-report. 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: Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards. 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-validation-report\",\"task\":\"Install bim-validation-report\",\"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-validation-report\" from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-validation-report 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: Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards. 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-validation-report\",\"task\":\"Install bim-validation-report\",\"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-validation-report/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-bim-validation-report"},"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-validation-report","install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-validation-report","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":["security","agent-skill"],"known_risks":["SKILL.md is truncated in the excerpt but appears comprehensive; the full file likely contains more detail.","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":["SKILL.md is truncated in the excerpt but appears comprehensive; the full file likely contains more detail.","Input format and output examples are not explicitly defined in SKILL.md, though instructions.md gives some guidance.","No explicit limitations or failure modes are described beyond basic validation.","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","SKILL.md is truncated in the excerpt but appears comprehensive; the full file likely contains more detail.","No OpenAgentSkill engagement data yet","Input format and output examples are not explicitly defined in SKILL.md, though instructions.md gives some guidance.","No explicit limitations or failure modes are described beyond basic validation.","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use bim-validation-report 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-validation-report (bim-validation-report)","install_command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-validation-report","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-validation-report","task":"Use bim-validation-report 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-validation-report","api":"https://www.openagentskill.com/api/agent/skills/datadrivenconstruction-bim-validation-report","audit":"https://www.openagentskill.com/skills/datadrivenconstruction-bim-validation-report/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=datadrivenconstruction-bim-validation-report&task=Use%20bim-validation-report%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20bim-validation-report%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20bim-validation-report%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/datadrivenconstruction-bim-validation-report/install","manifest":"https://www.openagentskill.com/api/registry/manifest/datadrivenconstruction-bim-validation-report"}},"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":"research-agents","title":"Research agents"},{"slug":"data-analysis","title":"Data analysis"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-validation-report","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":["SKILL.md is truncated in the excerpt but appears comprehensive; the full file likely contains more detail.","Input format and output examples are not explicitly defined in SKILL.md, though instructions.md gives some guidance.","No explicit limitations or failure modes are described beyond basic validation.","Quality score needs review","Needs review"]},"coverageTags":["Data","Data analysis","security","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":["SKILL.md is truncated in the excerpt but appears comprehensive; the full file likely contains more detail.","Input format and output examples are not explicitly defined in SKILL.md, though instructions.md gives some guidance.","No explicit limitations or failure modes are described beyond basic validation.","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":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"data-analysis","title":"Data analysis","url":"https://www.openagentskill.com/use-cases/data-analysis"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"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":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"}],"install":"npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill bim-validation-report","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-validation-report","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-validation-report\" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-validation-report. 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: Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards. 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-validation-report\",\"task\":\"Install bim-validation-report\",\"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-validation-report\" 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-validation-report. 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: Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards. 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-validation-report\",\"task\":\"Install bim-validation-report\",\"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-validation-report\" from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-validation-report 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: Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards. 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-validation-report\",\"task\":\"Install bim-validation-report\",\"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-validation-report","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-validation-report","repository":"https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/1_DDC_Toolkit/BIM-Analysis/bim-validation-report","api":"/api/agent/skills/datadrivenconstruction-bim-validation-report","install_api":"/api/skills/datadrivenconstruction-bim-validation-report/install"},"meta":{"created_at":"2026-08-22T10:36:33.482416+00:00","updated_at":"2026-08-22T10:36:33.482416+00:00","agent_friendly":true}}