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image-to-articulated-glb

image-to-articulated-glb is a skill for Claude Code from LiteReality/LiteReality-Agent. It costs 96 tokens per session (4,238 once invoked), scanned A, original, Apache-2.0.

A tool for creating a movable 3D GLB model from a reference image, including parts such as drawers or doors and physically based material textures.

In plain words
What is it for?
Use it to create articulated furniture or object models with embedded colour, roughness, and surface-detail textures, plus preview renders and build documentation.
Why use it?
It helps turn a flat image of an object into a model that can be opened, inspected, and rendered for verification.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

not rated 650repo +8 changed 1mo ago A scan SkillSpector: pass 96 tokens original Apache-2.0

Good fit Use it to create articulated furniture or object models with embedded colour, roughness, and surface-detail textures, plus preview renders and build documentation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/litereality/litereality-agent/image-to-articulated-glb
View source ↗ LiteReality/LiteReality-Agent litereality.github.io
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add LiteReality/LiteReality-Agent --skill image-to-articulated-glb
Clone the repo
git clone --depth 1 https://github.com/LiteReality/LiteReality-Agent

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for image-to-articulated-glb

README.md
[![agentmods](https://agentmods.dev/badge/skills/litereality/litereality-agent/image-to-articulated-glb/github.svg)](https://agentmods.dev/skills/litereality/litereality-agent/image-to-articulated-glb)
Your own site
<a href="https://agentmods.dev/skills/litereality/litereality-agent/image-to-articulated-glb"><img src="https://agentmods.dev/badge/skills/litereality/litereality-agent/image-to-articulated-glb/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for image-to-articulated-glb

Your own site · 80×15
<a href="https://agentmods.dev/skills/litereality/litereality-agent/image-to-articulated-glb"><img src="https://agentmods.dev/badge/skills/litereality/litereality-agent/image-to-articulated-glb.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,238 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00096 $0.04238
Opus 5.5 $0.00038 $0.01695
Sonnet 5.5 $0.00019 $0.00848
Haiku 4.5 $0.00010 $0.00424

Measured 1mo ago against content hash 0ad9ae687767, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

image-to-articulated-glb scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

The scan reads SKILL.md. This mod also ships 11 executable files (build_table0_desk.py, scripts/blender_lib.py, scripts/completeness_check.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

src/litereality_agent/models/object_generation/articulated-glb-agent/.claude/skills/image-to-articulated-glb/SKILL.md · 271 lines

How it starts

The opening of the file, as written. The whole thing — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Image → Articulated GLB (with PBR textures + render verification)

Pipeline for turning a reference image of furniture/objects into a GLB with movable parts, embedded PBR textures, and rendered visual proof.

Invocation arguments

When invoked as /image-to-articulated-glb <args>, parse them as:

  • arg 1 — reference image path (required). If missing or the file doesn't exist, ask for it before doing anything else.
  • arg 2 (optional) — output GLB path, or a directory (then use <dir>/<image_basename>.glb). Default when omitted: <image_dir>/<image_basename>_glb/<image_basename>.glb.

With valid args, run the FULL pipeline end-to-end without pausing for confirmation: analyze image → fetch textures → build → validate → render-check → emit a self-contained object.py + object.md → final report showing both preview PNGs, the GLB path, and the articulation summary. Put every artifact (textures/, previews/, the build recipe, object.py, object.md) in the output GLB's directory so each job is self-contained.

Deliverables per object (in the GLB's directory):

  • <stem>.glb — the model (embedded textures + articulation extras + animations)
  • object.py — a self-contained Blender script that rebuilds it on its own (no external imports / sys.path hacks); runs with blender -b --python object.py
  • object.md — how to edit the object (constants, articulation, rebuild command)
  • previews/, textures/, and the readable build recipe

All reusable scripts live in scripts/ next to this file. Blender binary: /opt/homebrew/bin/blender (fall back to blender on PATH; the desktop app is at /Applications/Blender.app). The blender-mcp addon is usually NOT connected — go headless CLI by default; only try MCP tools if the user says Blender is open.

Workflow

1. Analyze the reference image

Read the image. Identify: overall object type and real-world dimensions (estimate, meters), which parts are movable (drawers → prismatic slide, doors/lids → revolute hinge), handle/hardware style, material (wood tone, metal, plastic), and small details (casters, grommets, vents). State the analysis to the user before building.

Read the full file on GitHub · 271 lines

Files

What ships with it

12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · +31 lines 0ad9ae687767
  2. 2mo ago First seen · 240 lines · 96 tokens per session scan A 5df9aef5a192

Subscribe to this mod's changes

image-to-articulated-glb is a skill published in the GitHub repository LiteReality/LiteReality-Agent (650 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 96 tokens to every session and 4,238 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Creative and media
Related

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