Skip to content
Back to skills

Landmark Fit Repair

ASecurity

Validate and repair source-locked Blender models using named landmarks such as leaf tips, shell corners, eyes, smile, rim thickness, aura center/radius, and view-specific depth markers. Use when bbox/IoU is insufficient and the model must align to templates at designed feature points.

  • 5 stars
  • 0 votes
  • 0 copies
  • 0 views
  • Added September 22, 2026
ai-agentsgoshellbash

Works with

  • mcp

Security analysis

A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 22, 2026

npx -y skills add MAX-786/claude-3d-harness --skill landmark-fit-repair --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Landmark Fit Repair?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Landmark Fit Repair
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/max-786-landmark-fit-repair/badge)](https://www.skillsdirectory.com/skills/max-786-landmark-fit-repair)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: landmark-fit-repair
description: Validate and repair source-locked Blender models using named landmarks such as leaf tips, shell corners, eyes, smile, rim thickness, aura center/radius, and view-specific depth markers. Use when bbox/IoU is insufficient and the model must align to templates at designed feature points.
when_to_use: Landmark validation, feature-point deltas, control-point repair, face/eye/smile alignment, leaf tip alignment, aura ring fitting, iterative recipe parameter updates.
allowed-tools: Read Bash Glob Grep mcp__blender__execute_blender_code mcp__blender__get_scene_info mcp__blender__get_object_info
---

# Landmark Fit Repair

Bbox and IoU are too coarse for final mascot/logo matching. This skill turns named feature drift into recipe edits.

## Landmark classes

- `structural_tip`: outer part tips and extrema;
- `shell_corner`: face/shell/rim corners;
- `feature`: eyes, smile, brows, decals;
- `ring`: aura center/radius/dots;
- `depth_marker`: side/back/top thickness markers.

## Workflow

1. Define a landmark JSON for the source reference.
2. Detect or render corresponding product landmarks.
3. Compare by name and view.
4. Convert deltas into repair actions: move boundary control point, scale one component, shift feature curve, tune depth, or adjust aura radius.
5. Rebuild from recipe; do not hand-edit final geometry without updating the recipe/manifest.

## Hard gates

- No final export when named structural landmarks exceed tolerance.
- Face features must be validated separately from body silhouette.
- Aura/context landmarks must not affect base GLB acceptance.

## Script

- `scripts/landmark_fit_report.py` compares two named-landmark JSON files and emits repair deltas.


## Landmark JSON schema

```json
{
  "schema": "landmarks.v1",
  "image_size": [width, height],
  "landmarks": [
    {"view":"front", "name":"leaf_top_tip", "class":"structural_tip", "x":627, "y":130}
  ]
}
```

For part masks, generate initial landmarks from extrema: top/bottom/left/right, centroid, and contour inflection points. Then rename them to semantic names before repair.

Files in this skill

  • SKILL.md2.1 KB
  • scripts/landmark_fit_report.py1.5 KB

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…