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 agentmods add commands/horizonrobotics/embodiedgen/convertgit clone --depth 1 https://github.com/HorizonRobotics/EmbodiedGenWhat 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 | $0.00020 | $0.00202 |
| Opus 5 | $0.00010 | $0.00101 |
| Sonnet 5 | $0.00004 | $0.00040 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
convert 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 3d 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.
What it actually says
Convert Skill Command
Route the user's request to the EmbodiedGen asset conversion workflow.
Workflow
Step 1: Interpret the request
Use $ARGUMENTS if provided. If it is empty, ask for the target simulator and input URDF path.
Step 2: Load the skill
Use skill: "embodiedgen:asset-converter".
Step 3: Execute the workflow
Follow the skill and choose:
USDfor IsaacSimMJCFfor MuJoCo or Genesis- direct
URDFfor SAPIEN, IsaacGym, or PyBullet
Step 4: Deliver
Return:
- The exact Python API or command used
- The converted output path
- Any dependency or simulator-specific notes
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.
- 3d ago First seen · 33 lines · 20 tokens per session scan A 9c7ae0512353
convert is a command published in the GitHub repository HorizonRobotics/EmbodiedGen (648 stars, last pushed 9d ago), licensed Apache-2.0. It adds 20 tokens to every session and 202 once invoked, about $0.0001 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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