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Official Verified data analysis Safety 4/5

Bim Consistency Checker

Check BIM model consistency: naming conventions, parameter completeness, spatial relationships, and data integrity across model elements.

Why use this skill?

Maintain data integrity in your BIM models. Automatically audit naming conventions, parameters, and spatial relationships with the BIM Consistency Checker skill for OpenClaw.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/datadrivenconstruction/bim-consistency-checker
Or

What This Skill Does

The BIM Consistency Checker is a specialized diagnostic engine designed to perform rigorous quality assurance on Building Information Modeling (BIM) datasets. It automates the verification of model integrity, ensuring that architectural, structural, and mechanical elements adhere to strictly defined project standards. The skill parses model metadata against a robust set of predefined naming conventions, parameter completeness requirements, and spatial relationships. It systematically audits elements such as walls, rooms, grids, and levels to identify non-compliant data that could lead to coordination errors during the construction phase. By outputting a structured consistency report, it provides stakeholders with a detailed breakdown of issues categorized by severity and domain, enabling project managers to rectify data anomalies before they escalate into costly downstream construction delays.

Installation

To integrate the BIM Consistency Checker into your OpenClaw ecosystem, execute the following command in your terminal or command interface:

clawhub install openclaw/skills/skills/datadrivenconstruction/bim-consistency-checker

Ensure that you have sufficient permissions to access the repository and that your OpenClaw environment is updated to the latest version to support the required dataclass structures.

Use Cases

  • Project Handover: Verify that model deliverables meet strict BIM Execution Plan (BEP) requirements before submitting to the client.
  • Clash Prevention: Ensure naming conventions are uniform across multi-disciplinary models to prevent metadata mismatches during federated model coordination.
  • Automated QA/QC: Perform overnight validation checks on evolving models to ensure that team members are adhering to project-wide standards.
  • Data Standardization: Identify missing parameters in large-scale building assets to ensure accurate quantity takeoffs and facility management data entry.

Example Prompts

  1. "Run a consistency check on the current structural model and highlight any elements missing fire-rating parameters."
  2. "Check the architectural model for naming convention violations in the Level and Room categories and provide a summary report."
  3. "Validate the spatial relationship of all wall elements and flag any that do not properly associate with the correct room numbering sequence."

Tips & Limitations

  • Pre-define Standards: The efficacy of this tool is directly tied to the accuracy of your defined NamingConvention objects. Take time to configure these according to your project's BIM mandate.
  • Scaling: For extremely large models (e.g., city-scale BIM), run checks in batches to avoid memory overhead during the parsing process.
  • Interoperability: While the tool works on core element metadata, complex geometric checks may require integration with specific IFC parsing libraries. Always pair this with visual inspections for high-stakes coordination tasks.

Metadata

Stars1100
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Updated2026-02-17
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-datadrivenconstruction-bim-consistency-checker": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#bim#construction#data-quality#architectural#qa-qc
Safety Score: 4/5

Flags: file-read, code-execution