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-convertergit 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-converter)<a href="https://agentmods.dev/skills/horizonrobotics/embodiedgen/asset-converter"><img src="https://agentmods.dev/badge/skills/horizonrobotics/embodiedgen/asset-converter/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-converter"><img src="https://agentmods.dev/badge/skills/horizonrobotics/embodiedgen/asset-converter.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 | $0.00079 | $0.00784 |
| Opus 5 | $0.00039 | $0.00392 |
| Sonnet 5 | $0.00016 | $0.00157 |
| Haiku 4.5 | $0.00008 | $0.00078 |
Grade A, and why
asset-converter 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 10d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Asset Converter
Unified entry for simulator-targeted asset conversion using embodied_gen.data.asset_converter.
When To Use
Use this skill when users want to:
- Convert EmbodiedGen assets for IsaacSim (
USD) or MuJoCo/Genesis (MJCF). - Batch-convert multiple URDF assets into simulator-ready outputs.
- Map simulator names to the correct target format and conversion strategy.
- Decide when conversion is unnecessary (URDF can be used directly).
Routing Rules (Core)
- IsaacSim -> convert to
USD. - MuJoCo / Genesis -> convert to
MJCF(.xml). - SAPIEN / IsaacGym / PyBullet -> use EmbodiedGen
.urdfdirectly (no conversion required).
Pre-checks
- Run from repository root with
embodiedgenenvironment active. - Confirm input URDF path(s) exist.
- For USD conversion, ensure IsaacLab/IsaacSim conversion dependencies are available.
- Prefer list inputs for
urdf_filesandtarget_dirs(same length, aligned by index).
Standard Python API Template
from embodied_gen.data.asset_converter import cvt_embodiedgen_asset_to_anysim
from embodied_gen.utils.enum import AssetType, SimAssetMapper
simulator_name = "mujoco" # isaacsim / mujoco / genesis / sapien / isaacgym / pybullet
asset_paths = cvt_embodiedgen_asset_to_anysim(
urdf_files=[
"outputs/demo_assets/remote_control/result/remote_control.urdf",
],
target_dirs=[
"outputs/demo_assets/remote_control/mjcf",
],
target_type=SimAssetMapper[simulator_name],
source_type=AssetType.URDF,
overwrite=True,
)
print(asset_paths)
Source Type Guidance
- For
MJCFtarget: prefersource_type=AssetType.URDF. - For
USDtarget: usesource_type=AssetType.MESHby default;AssetType.URDFpath is also supported when needed. - For direct-URDF simulators (
sapien,isaacgym,pybullet): skip conversion.
Direct Converter Template (Advanced)
from embodied_gen.data.asset_converter import AssetConverterFactory
from embodied_gen.utils.enum import AssetType
converter = AssetConverterFactory.create(
target_type=AssetType.USD,
source_type=AssetType.MESH,
)
with converter:
converter.convert(
"outputs/demo_assets/remote_control/result/remote_control.urdf",
"outputs/demo_assets/remote_control/usd/remote_control.usd",
)
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.
- 10d ago First seen · 89 lines · 79 tokens per session scan A 0138a2554b15
asset-converter is a skill published in the GitHub repository HorizonRobotics/EmbodiedGen (660 stars, last pushed 17d ago), licensed Apache-2.0. It adds 79 tokens to every session and 784 once invoked, about $0.0004 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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