source-part-segmentation

Segment overlapping visual parts from source images.

What this skill does for you

Segment overlapping visual parts from source images, wireframes, texture atlases, and decals before mesh reconstruction. Use when a mascot/logo/template contains touching or overlapping components and exact structural part masks are needed before contour-to-mesh, UV fitting, or landmark repair.

Quoted from the skill description in the pinned source

Who made it

Publisherroble3

Repositorycc-blender-skill

Installs375as 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 source-part-segmentation 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.

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: 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: sha256:3d8108f79f925c4ca3d428160271a58adf2c0d5f8bd356522d63b57e1ab12ed2
Licence: MIT