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 sim2real-operategit 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/sim2real-operate)<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/sim2real-operate"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/sim2real-operate/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/sim2real-operate"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/sim2real-operate.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 | $0.00042 | $0.00901 |
| Opus 5 | $0.00021 | $0.00451 |
| Sonnet 5 | $0.00008 | $0.00180 |
| Haiku 4.5 | $0.00004 | $0.00090 |
Grade A, and why
sim2real-operate 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 4d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operate compositional Sim2Real
Use the one canonical spec:
workflows/main/sim2real.yaml
It is npa.workflow/v0.0.1. Always use npa workbench workflow ... --runtime;
there is no direct-Kubernetes Sim2Real submit path. The old materializer and
k8s_submit implementation have been removed; the retained CLI command exits
with an actionable migration to this canonical spec.
Preflight
- Validate tenant/project/region, bucket, registry, Kubernetes context, Ready RT-core nodes, bounded GPU concurrency, and the read-only Isaac cache PVC.
- Require registry-qualified immutable digests for controller, Transfer, EnvGen, Reason, Isaac, and viewer images. Confirm each image attests the exact source SHA; never use source overlays or best-effort bootstrap.
- Validate the task-aligned seed manifest, HF/NGC access, S3 read/write, image
pulls, and primary/side/overhead capture before a full run.
Transfer seed frames must use one strict numbered family: canonical
camera-<N>.png, or the seeder-compatible fallbackframe-<N>.pngwhen no camera family exists. Unrelated PNG objects are never admitted as frames. Isaac vector-environment resets consume curated training scenarios through one monotonic round-robin cursor. Partial reset batches must cover the split tail before wrapping; per-environment reset counters can silently strand scenarios when the split is larger than the vector-environment count. Large cold images may need--image-bootstrap-timeout-seconds 0; this removes only the observation deadline and still requires immutable digest, registry authorization, source attestation, runtime capabilities, and verified probe cleanup. Repeat-safe runs reuse only digest-bound compatible evidence. - Run
validate-spec,plan-spec --waves, scheduler-plan, and submit plan-only on the same canonical file.
Submit and resume
Before provisioning or submitting an Isaac state, load
skills/atomic/third-party-eula-preflight/SKILL.md. Isaac acceptance defaults on
for non-interactive submissions; pass --no-accept-eula to opt out. An opted-out
run fails before work is created. Optional privacy and telemetry remain disabled.
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.
- 4d ago Changed 00c3bad1f192
- 7d ago Changed 7d47142fdec2
- 9d ago First seen · 76 lines · 42 tokens per session scan A 90fd8df0f5a1
sim2real-operate is a skill published in the GitHub repository nebius/nebius-physical-ai (29 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 901 once invoked, about $0.0002 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 2026-09-03.
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