rvt-to-excel

rvt-to-excel is a skill for Claude Code, Codex from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. It costs 26 tokens per session (1,600 once invoked), scanned A, original, MIT.

A converter that extracts information from RVT and RFA files, Revit’s project and family file formats, into structured Excel databases. The output can include building-model elements, properties, quantities, and other selected data.

In plain words
What is it for?
Use it to convert one or more Revit files, choose which categories or options to export, create quantity takeoffs, and feed model data into analytics workflows.
Why use it?
It makes information stored inside Revit files easier to analyze, share, and use in reporting or other data tools. It also avoids extracting each project manually.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to convert one or more Revit files, choose which categories or options to export, create quantity takeoffs, and feed model data into analytics workflows.

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Install with agentmods
npx agentmods add skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/rvt-to-excel
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill rvt-to-excel
Clone the repo
git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for rvt-to-excel

README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for rvt-to-excel

Your own site · 80×15
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/rvt-to-excel"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/rvt-to-excel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,600 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.01600
Opus 5.5 $0.00010 $0.00640
Sonnet 5.5 $0.00005 $0.00320
Haiku 4.5 $0.00003 $0.00160

Measured 1mo ago against content hash 842f608e7870, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rvt-to-excel scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

result = subprocess.run(cmd, capture_output=True, text=True)
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

1_DDC_Toolkit/CAD-Converters/rvt-to-excel/SKILL.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RVT to Excel Conversion

Business Case

Problem Statement

BIM data inside RVT files needs to be extracted for:

  • Processing multiple projects in batch
  • Integrating BIM data with analytics pipelines
  • Sharing structured data with stakeholders
  • Generating reports and quantity takeoffs

Solution

Convert RVT files to structured Excel databases for analysis and reporting.

Business Value

  • Batch processing - Convert multiple projects
  • Data accessibility - Excel format for universal access
  • Pipeline integration - Feed data to BI tools, ML models
  • Structured output - Organized element data and properties

Technical Implementation

CLI Syntax

RvtExporter.exe <input_path> [export_mode] [options]

Export Modes

Mode Categories Description
basic 309 Essential structural elements
standard 724 Standard BIM categories
complete 1209 All Revit categories
custom User-defined Specific categories only

Options

Option Description
bbox Include bounding box coordinates
rooms Include room associations
schedules Export all schedules to sheets
sheets Export sheets to PDF

Examples

# Basic export
RvtExporter.exe "C:\Projects\Building.rvt" basic

# Complete with bounding boxes
RvtExporter.exe "C:\Projects\Building.rvt" complete bbox

# Full export with all options
RvtExporter.exe "C:\Projects\Building.rvt" complete bbox rooms schedules sheets

# Batch processing
for /R "C:\Projects" %f in (*.rvt) do RvtExporter.exe "%f" standard bbox

Python Integration

import subprocess
import pandas as pd
from pathlib import Path
from typing import List, Optional

class RevitExporter:
    def __init__(self, exporter_path: str = "RvtExporter.exe"):
        self.exporter = Path(exporter_path)
        if not self.exporter.exists():
            raise FileNotFoundError(f"RvtExporter not found: {exporter_path}")

    def convert(self, rvt_file: str, mode: str = "complete",
                options: List[str] = None) -> Path:
        """Convert Revit file to Excel."""
        rvt_path = Path(rvt_file)
        if not rvt_path.exists():
            raise FileNotFoundError(f"Revit file not found: {rvt_file}")

        cmd = [str(self.exporter), str(rvt_path), mode]
        if options:
            cmd.extend(options)

        result = subprocess.run(cmd, capture_output=True, text=True)

        if result.returncode != 0:
            raise RuntimeError(f"Export failed: {result.stderr}")

        # Output file is same name with .xlsx extension
        output_file = rvt_path.with_suffix('.xlsx')
        return output_file

    def batch_convert(self, folder: str, mode: str = "standard",
                      pattern: str = "*.rvt") -> List[Path]:
        """Convert all Revit files in folder."""
        folder_path = Path(folder)
        converted = []

        for rvt_file in folder_path.glob(pattern):
            try:
                output = self.convert(str(rvt_file), mode)
                converted.append(output)
                print(f"Converted: {rvt_file.name}")
            except Exception as e:
                print(f"Failed: {rvt_file.name} - {e}")

        return converted

    def read_elements(self, xlsx_file: str) -> pd.DataFrame:
        """Read converted Excel as DataFrame."""
        return pd.read_excel(xlsx_file, sheet_name="Elements")

    def get_quantities(self, xlsx_file: str,
                       group_by: str = "Category") -> pd.DataFrame:
        """Get quantity summary grouped by category."""
        df = self.read_elements(xlsx_file)

        # Group and count
        summary = df.groupby(group_by).agg({
            'ElementId': 'count',
            'Area': 'sum',
            'Volume': 'sum'
        }).reset_index()

        summary.columns = [group_by, 'Count', 'Total_Area', 'Total_Volume']
        return summary

Read the full file on GitHub · 219 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 219 lines · 26 tokens per session scan A 842f608e7870

Subscribe to this mod's changes

rvt-to-excel is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (373 stars, last pushed 8d ago), licensed MIT. It adds 26 tokens to every session and 1,600 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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