texture-driven-mesh-fitting
Reshape source-locked mesh boundaries so the geometry fits texture-atlas or decal contours 1:1 before...
What this skill does for you
Reshape source-locked mesh boundaries so the geometry fits texture-atlas or decal contours 1:1 before final UV/material work. Use when textures look off because the model behind them does not match the source texture region, or when the mesh must adapt to the texture instead of stretching the texture onto an approximate mesh.
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the texture-driven-mesh-fitting skill from roble3/cc-blender-skill.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
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: 11016c9a5847897491dde935c346571bd7548e3d. 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: 11016c9a5847897491dde935c346571bd7548e3d. 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: 11016c9a5847897491dde935c346571bd7548e3d. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/roble3/cc-blender-skill
- Pinned skill file
- View source at revision
- Revision
- 11016c9a5847897491dde935c346571bd7548e3d
- Package hash
- sha256:3926e9a3c4e0fda3550ff2033373333821161c1523857f8f503bbb538826734e
- Licence
- MIT