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 nebius/nebius-physical-ai --skill robocasagit clone --depth 1 https://github.com/nebius/nebius-physical-aiWrote 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/nebius/nebius-physical-ai/robocasa)<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/robocasa"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/robocasa/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/nebius/nebius-physical-ai/robocasa"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/robocasa.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 | $0.00055 | $0.01225 |
| Opus 5 | $0.00028 | $0.00613 |
| Sonnet 5 | $0.00011 | $0.00245 |
| Haiku 4.5 | $0.00006 | $0.00122 |
Grade A, and why
robocasa 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 7d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RoboCasa (kitchen-task simulation)
RoboCasa is an Apache-2.0 kitchen-task simulation framework built on robosuite
and MuJoCo. This tool promotes the accepted RoboCasa BYOF candidate into a
first-class workbench tool: a dedicated npa-robocasa container with a FastAPI
service, CLI, SDK, and workflow toolRefs that exercise the real upstream
capabilities.
The upstream repo is robocasa/robocasa at the pinned v1.0 tag, with
robosuite at a pinned commit and the exact MuJoCo 3.3.1 / Gymnasium 0.29.1 /
CUDA 12.4 closure from the live-accepted BYOF evidence. Kitchen assets
(textures, fixtures, objects) are NOT baked and download at run time under the
operator's own network access.
Capabilities
| Capability | What it proves |
|---|---|
kitchen_task_registration |
Gymnasium robocasa/PickPlaceCounterToCabinet is registered |
kitchen_asset_availability |
The kitchen assets root exists and is populated |
kitchen_egl_env_reset |
A headless MUJOCO_GL=egl env creates and resets |
kitchen_random_rollout |
A real random rollout runs and writes a video artifact |
Two execution modes
Direct (the default) runs the work from your CLI invocation. Service mode calls a deployed Kubernetes endpoint:
npa workbench robocasa run --capability kitchen_random_rollout \
--output-path s3://<bucket>/robocasa/<id>/ \
--iterations 1 --num-envs 1
npa workbench robocasa run --capability kitchen_random_rollout \
--output-path s3://<bucket>/robocasa/<id>/ --service --endpoint <url>
Deploy the service when you want a persistent endpoint several runs share:
npa workbench robocasa deploy \
--project <alias> --cluster-name <name> \
--output-path s3://<bucket>/robocasa/ \
--gpu-type rtxpro6000 --namespace default \
--dry-run # prints the manifest without applying
npa workbench robocasa deploy --project <alias> --destroy
--gpu-type is h100, l40s, rtx6000, or rtxpro6000. Auth defaults to
token (the token comes from the variable named by --token-env, default
ROBOCASA_TOKEN); --insecure-no-auth exists but should not be used. Always
--dry-run first and read the manifest.
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.
- 7d ago First seen · 116 lines · 55 tokens per session scan A 9ed9fdf0e1fa
robocasa is a skill published in the GitHub repository nebius/nebius-physical-ai (29 stars, last pushed today), licensed Apache-2.0. It adds 55 tokens to every session and 1,225 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 2026-09-05.
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