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Skill evidence / threejs-world-generation
Skill profile

threejs-world-generation

Build deterministic, editable, free-viewpoint Three.js worlds from text or structured briefs.

What this skill does for you

Build deterministic, editable, free-viewpoint Three.js worlds from text or structured briefs. Use for cinematic 3D terrain, semantic regions, procedural biomes, explicit landmarks, environmental scattering, camera fly-throughs, world diagnostics, or requests for a real 3D environment rather than generated 2D footage. Integrates OpenMontage's threejs_world tool with HyperFrames; do not use for a single isolated 3D object or a flat parallax scene.

Quoted from the skill description in the pinned source

Who made it

Publishercalesthio
Repositoryopenmontage
Installs329as 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 threejs-world-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
sha256:777877f5a07abbb70e3cf87d97d93092b97b4faa94183d3169b6d730d312ada6
Licence
AGPL-3.0