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Skill evidence / 3d-asset-generation
Skill profile

3d-asset-generation

Generate, reconstruct, inspect, and route production 3D assets for OpenMontage worlds using Atlas...

What this skill does for you

Generate, reconstruct, inspect, and route production 3D assets for OpenMontage worlds using Atlas Cloud, fal.ai, licensed catalogs, and Blender.

Quoted from the skill description in the pinned source

Who made it

Publishercalesthio
Repositoryopenmontage
Installs330as 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 3d-asset-generation skill from calesthio/openmontage.

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.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

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: 08e2151fa02de28a5d6a312b3d575692bf147ad7. 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: 08e2151fa02de28a5d6a312b3d575692bf147ad7. Raw findings: 1. 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: 08e2151fa02de28a5d6a312b3d575692bf147ad7. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/calesthio/openmontage
Pinned skill file
View source at revision
Revision
08e2151fa02de28a5d6a312b3d575692bf147ad7
Package hash
sha256:474e93ebbe62a8443551684074f865f8fffb5e64f3d6fd0649dafe41b930b4d9
Licence
AGPL-3.0