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 openarmgit 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/openarm)<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/openarm"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/openarm/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/openarm"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/openarm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00037 | $0.01188 |
| Opus 5.5 | $0.00015 | $0.00475 |
| Sonnet 5.5 | $0.00007 | $0.00238 |
| Haiku 4.5 | $0.00004 | $0.00119 |
Grade A, and why
openarm 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 1mo 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enactic OpenArm
Use the native npa workbench openarm surface and the
workflows/testing/openarm-simulators.yaml reference workflow. Do not route
OpenArm to the generic Isaac Lab or RoboCasa tools: the OpenArm tool owns the
upstream source pins, robot assets, task IDs, artifact schemas, and dual-simulator
qualification contract.
Legal and runtime boundary
- Pin
enactic/openarm_mujocorelease 2.2.0 to commita8c979629f2591ad035d99d338ce114969e6cddc. - Pin the untagged
enactic/openarm_isaac_labrepository to commitbad82e23716e6941c2de78ccb978f57c78b37734. - Both simulator repositories and their included model assets are Apache-2.0. Do not copy hardware/CAD payload from the separate OpenArm repository.
- The public image may bake OpenArm and MuJoCo OSS bytes. It must never bake
Isaac Sim, Isaac Lab, Omniverse Kit, acceptance, credentials, caches, or data.
Load and follow
skills/atomic/third-party-eula-preflight/SKILL.mdandskills/atomic/solution-licensing/SKILL.mdbefore building or executing. - Invoke Isaac only through
${ISAAC_LAB_PYTHON:-/isaac-sim/python.sh}. Never run this shim from a DockerfileRUNinstruction. - Classify the CUDA base and CUDA/cuDNN Python runtime libraries as conditional NVIDIA redistributable components, not OSS. Retain their notices, remove separately installed SDK headers/static archives, and review their exact built-image files and SBOM before publication.
Supported workloads
MuJoCo uses the real upstream openarm_demo_xml, JointResolver, and
mujoco.mj_step. A successful run uploads result.json and
mujoco_trajectory.npz; --render adds a simulator-rendered MP4.
Isaac rollout imports openarm.tasks, creates the requested upstream OpenArm
Gymnasium task, and performs real vectorized steps. Isaac training calls the
pinned upstream RSL-RL script and fails closed unless a model_*.pt checkpoint
exists. Isaac-Reach-OpenArm-v0 is the default qualification task. Treat lift,
drawer, bimanual, imitation, teleoperation, and sim-to-real as unqualified until
each has exact-image live evidence; upstream itself says the latter three are
under development.
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.
- 1mo ago First seen · 92 lines · 37 tokens per session scan A 0e517440d506
openarm is a skill published in the GitHub repository nebius/nebius-physical-ai (50 stars, last pushed today), licensed Apache-2.0. It adds 37 tokens to every session and 1,188 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-17.
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