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Skill evidence / atlas-uv-fitting
Skill profile

atlas-uv-fitting

Detect texture-atlas regions and map each source part to its own UV rectangle or projected UV surface.

What this skill does for you

Detect texture-atlas regions and map each source part to its own UV rectangle or projected UV surface. Use when a texture pack must fit a Blender model 1:1, when textures look off/stretched, when alpha decals or lightmaps are provided, or before exporting a textured GLB for a brand mascot/logo.

Quoted from the skill description in the pinned source

Who made it

Publisherroble3
Installs397as 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 atlas-uv-fitting skill from roble3/cc-blender-skill.

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: 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:d246fe002570be0dbffdee03147e639756c353d901f3e69d57e1690ae65f8dc6
Licence
MIT