cad2data-Revit-IFC-DWG: DDC Converters 2.0: RVT/RFA to GLB, IFC4 and JSONL; IFC to Excel; DWG to Excel, DXF and SVG

by datadrivenconstruction · Agent Tool · ★ 538

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 71/100

Flagged: spawns subprocesses. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsautocadautodeskbimbimconvertercadcadconverterclaude-codeconverterdata-viewer

Quick Facts

Stars538
Forks113
LanguagePython
CategoryAgent Tool
Quality Score71/100
Open Issues3
Last Updated2026-11-03
Created2025-06-19
Platformsclaude-code, cli, python
Est. Tokens~18k

About cad2data-Revit-IFC-DWG

English • Deutsch • Español • Français • Русский • 中文 • العربية cad2data — DDC converters for RVT, IFC and DWG files Turn CAD/BIM files into open, structured data — locally, offline, without CAD licences. .rvt / .rfa → GLB · glTF · OBJ · IFC4 · JSONL/CSV &nbsp;&nbsp; .dwg → Excel · CSV · JSONL · DXF · SVG <img src

Compatible Skills

These tools work well together with cad2data-Revit-IFC-DWG for enhanced workflows:

  • aec-model-bridge — semantic(0.23)+complementary+rare_topics+similar_pop+shared_platform (63%)
  • rvt-mcp — semantic(0.24)+complementary+rare_topics+similar_pop+shared_platform (62%)
  • N8N2MCP — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • mcp-excel-server — semantic(0.44)+complementary+similar_pop+shared_platform (55%)
  • exstruct — semantic(0.41)+complementary+similar_pop+shared_platform (54%)

cad2data-Revit-IFC-DWG alternative? Top 6 similar tools

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  • solidworks-automation-skill by wzyn20051216 · ⭐ 1.7k

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  • OpenContext by 0xranx · ⭐ 1.2k

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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