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.
npx skills add HorizonRobotics/EmbodiedGen --skill asset-creatorgit clone --depth 1 https://github.com/HorizonRobotics/EmbodiedGenWrote 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.
[](https://agentmods.dev/skills/horizonrobotics/embodiedgen/asset-creator)<a href="https://agentmods.dev/skills/horizonrobotics/embodiedgen/asset-creator"><img src="https://agentmods.dev/badge/skills/horizonrobotics/embodiedgen/asset-creator/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.
<a href="https://agentmods.dev/skills/horizonrobotics/embodiedgen/asset-creator"><img src="https://agentmods.dev/badge/skills/horizonrobotics/embodiedgen/asset-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00063 | $0.00765 |
| Opus 5 | $0.00032 | $0.00382 |
| Sonnet 5 | $0.00013 | $0.00153 |
| Haiku 4.5 | $0.00006 | $0.00076 |
Grade A, and why
asset-creator 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 9d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Assets Creator
Unified entry for three EmbodiedGen asset-generation CLIs: img3d-cli, text3d-cli, and texture-cli.
When To Use
Use this skill when users want to:
- Generate a 3D asset from one or more input images.
- Generate 3D assets in batch from text prompts.
- Generate or edit textures for existing meshes.
- Get help choosing the correct CLI from mixed asset-generation requirements.
Routing Rules (Core)
img3d-cli: input is image paths (--image_pathor--image_root).text3d-cli: input is text prompts (--prompts) and target is direct asset output.texture-cli: input is existing mesh path(s) (--mesh_path) plus texture prompt(s) (--prompt).
Pre-checks
- Run commands from the repository root.
- Confirm the active environment is
embodiedgen. - If CLI commands are unavailable, run
pip install -e .to register entrypoints.
Standard Command Templates
1) Image to 3D: img3d-cli
img3d-cli --image_path .../sample.jpg --n_retry 1 --output_root outputs/imageto3d
Common parameters:
--image_path/--image_root--output_root--n_retry--seed--skip_exists
2) Text to 3D: text3d-cli
text3d-cli \
--prompts "small bronze figurine of a lion" "A globe with wooden base" \
--n_image_retry 1 --n_asset_retry 1 --n_pipe_retry 1 \
--seed_img 0 \
--output_root outputs/textto3d
Common parameters:
--prompts--output_root--asset_names--n_image_retry --n_asset_retry --n_pipe_retry--seed_img --seed_3d
3) Mesh Texture Generation: texture-cli
texture-cli \
--mesh_path ".../horse.obj" \
--prompt "A gray horse head with flying mane and brown eyes" \
--output_root "outputs/texture_gen" \
--seed 0
Common parameters:
--mesh_path(supports multiple inputs)--prompt(must align 1:1 with mesh inputs)--output_root--seed--texture_size--ip_adapt_scale --ip_img_path(optional reference-image control)
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.
- 9d ago First seen · 97 lines · 63 tokens per session scan A 4012ee108e1c
asset-creator is a skill published in the GitHub repository HorizonRobotics/EmbodiedGen (659 stars, last pushed 15d ago), licensed Apache-2.0. It adds 63 tokens to every session and 765 once invoked, about $0.0003 per session on Opus 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.
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