Skill profile

dwg-to-excel

Convert AutoCAD DWG files (1983-2026) to Excel databases using DwgExporter CLI.

What this skill does for you

Convert AutoCAD DWG files (1983-2026) to Excel databases using DwgExporter CLI. Extract layers, blocks, attributes, and geometry data without Autodesk licenses.

Quoted from the skill description in the pinned source

Who made it

Publisherdatadrivenconstruction

Repositoryddc_skills_for_ai_agents_in_construction

Installs290as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the dwg-to-excel skill from datadrivenconstruction/ddc_skills_for_ai_agents_in_construction.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: ce45bbfbdd63ab7868871061fdf5e83bc17f5020. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: ce45bbfbdd63ab7868871061fdf5e83bc17f5020. Raw findings: 3. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: ce45bbfbdd63ab7868871061fdf5e83bc17f5020. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
Pinned skill file: View source at revision
Revision: ce45bbfbdd63ab7868871061fdf5e83bc17f5020
Package hash: sha256:6045eb659da3b647fc5038f69cd9e24ab6b640e0d708026b03e96b1ab20233bb
Licence: MIT