What makes 3D Model Generation notable?

4.5K downloads. Trust evidence available

How should 3D Model Generation be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

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3D Model Generation

AI 3D model generation powered by CellCog. Text-to-3D, image-to-3D — production-ready GLB files for games, AR/VR, e-commerce, and 3D printing. Game assets, product visualization, characters, props, environments, and batch generation. Skill: 3D Model Generation Owner: cellcog Summary: AI 3D model generation powered by CellCog. Text-to-3D, image-to-3D — production-ready GLB files for games, AR/VR, e-commerce, and 3D printing. Game assets, product visualization, characters, props, environments, and batch generation. Tags: latest:1.0.15 Version history: v1.0.15 | 2026-08-24T02:02:47.474Z | user Content updated. v1.0.14 | 2026-08-24T01:47:30.035Z | us

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

4.5k

Updated

Oct 9, 2026

Version

1.0.15

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 4.5K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 4.5K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.15release · observed Aug 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s176q1btpn094ats9b4f9hgfwx83knpk:3d-model-generation-cellcog

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-3d-model-generation-cellcog/snapshot"

Documentation

CLAWHUB

100,322 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: 3d-model-generation-cellcog
description: "AI 3D model generation powered by CellCog. Text-to-3D, image-to-3D — production-ready GLB files for games, AR/VR, e-commerce, and 3D printing. Game assets, product visualization, characters, props, environments, and batch generation."
metadata:
  openclaw:
    emoji: "💎"
    os: [darwin, linux, windows]
    requires:
      bins: [python3]
      env: [CELLCOG_API_KEY]
author: CellCog
homepage: https://cellcog.ai
dependencies: [cellcog]
---
# 3D Model Generation - Turn Ideas Into 3D Models

3D model generation from text descriptions or reference images.

Most 3D generation tools need a single, perfectly composed reference image. CellCog takes *anything* — a text description, a rough sketch, a product photo, even a spreadsheet of 50 items — and handles the entire pipeline: reasoning about what you need, generating optimized reference images, and converting them into production-ready GLB files.

## How to Use

For your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.

**OpenClaw (fire-and-forget):**
```python
result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
)
```

**All agents except OpenClaw (blocks until done):**
```python
from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="agent",
)
print(result["message"])
```


---

## What Makes This Different

### Any Input → 3D

The power of CellCog isn't image-to-3D — everyone does that. The power is **any-to-any**.

| What You Send | What CellCog Does | What You Get |
|--------------|-------------------|--------------|
| Text description | Reasons about the object → generates optimized reference image → converts to 3D | Production-ready GLB |
| Rough sketch | Enhances into a clean, detailed reference → converts to 3D | Production-ready GLB |
| Product photo | Assesses quality, enhances if needed → converts to 3D | Production-ready GLB |
| High-quality concept art | Converts directly to 3D | Production-ready GLB |
| List of 10 items | Generates 10 reference images → converts all to 3D | 10 GLB files |

### Batch Generation

Need 10 low-poly weapons for your RPG? 20 furniture models for your room designer? 50 product models for your e-commerce catalog?

One prompt. Multiple 3D models. CellCog's agents generate each reference image with the right composition, angle, and detail level — then convert each to a textured 3D model.

```python
prompt = """
Create 3D models (GLB format) for these 5 fantasy weapons:
1. Enchanted longsword with blue crystal blade
2. Dwarven war hammer with rune inscriptions
3. Elven bow with living vine decorations
4. Shadow dagger with smoke effects on the blade
5. Holy mace with golde

_meta.json

{
  "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm",
  "slug": "3d-model-generation-cellcog",
  "version": "1.0.15",
  "publishedAt": 1787536967474
}

skill-card.md

## Description:

3D Model Generation helps agents use CellCog to create production-ready GLB models from text descriptions, images, sketches, product photos, and batch item lists.

This skill is ready for commercial/non-commercial use.

## Publisher:

[cellcog](https://clawhub.ai/user/cellcog)

### License/Terms of Use:

MIT-0

## Use Case:

Developers, designers, and content teams use this skill to prompt CellCog for text-to-3D, image-to-3D, and batch generation workflows that produce GLB assets for games, AR/VR, e-commerce, 3D printing, education, and visualization.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Uploads may include confidential product photos, regulated data, customer information, secrets, or proprietary sketches.

Mitigation: Only share those inputs with CellCog when your organization has approved that use.

Risk: The workflow depends on the third-party CellCog package and service.

Mitigation: Confirm trust in the CellCog publisher before installing and pin package versions where your environment supports it.

Risk: The skill requires a CELLCOG_API_KEY credential.

Mitigation: Store the API key in the environment and avoid placing it in prompts, generated files, or shared artifacts.

## Reference(s):

- [CellCog Homepage](https://cellcog.ai)
- [ClawHub Skill Page](https://clawhub.ai/cellcog/skills/3d-model-generation-cellcog)

## Skill Output:

**Output Type(s):** [Guidance, Code, Shell commands, Configuration instructions, Files]

**Output Format:** [Markdown guidance with Python code examples and shell commands]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Requires python3, the cellcog dependency, and CELLCOG_API_KEY; generated 3D assets are described as GLB files.]

## Skill Version(s):

1.0.15 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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