Operate compositional Sim2Real

SkillFiles & storage

Operate the compositional 14-stage Sim2Real npa.workflow on Kubernetes through the standard SkyPilot runtime, durable S3 resume ledger, real component images, and artifact audit.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Operate compositional Sim2Real skill

What this skill tells your AI

The instructions your AI receives, as published by nebius/nebius-physical-ai in skills/workflows/sim2real-operate/SKILL.md and read by ahel’s review.

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

  1. Validate tenant/project/region, bucket, registry, Kubernetes context, Ready RT-core nodes, bounded GPU concurrency, and the read-only Isaac cache PVC.
  2. 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.
  3. 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 fallback frame-<N>.png when 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.
  4. 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.

Submit with --runtime --resume. Pass tenant-specific data only through --var, isolated config, and secret envs. For a no-deadline run pass --max-wait-seconds 0; the runtime still records wave/job status in <run-root>/npa-workflow/runtime.json.

The graph owns every stage Job. Isaac rollout/PPO/eval execute their proven payload inside their already admitted SkyPilot GPU task and must report npa_workflow_skypilot_task; a hidden sibling Job is a contract failure.

Use a deliberate controller restart after Stage 8 and --resume to prove the Stage 8→9 barrier. Also restart during Stage 14 in the integration ladder. The runtime must adopt/replay complete waves from declared S3 outputs and resubmit only incomplete work.

Audit

Require exactly 14 canonical ComponentRecords. Stages 1–11, 13, and 14 are WORKS; Stage 12 alone is SEAM. For GPU stages verify workflow Job identity, immutable digest, source SHA, GPU product, and explicit S3 inputs/outputs. Verify train/validation/gold digest disjointness, validation-only checkpoint selection, exact checkpoint SHA/size loaded by gold, strict 5 cm stable placement, bounded non-degenerate temporal signals, and explicit gold render lineage.

Download and independently decode non-empty reports/sim2real.rrd and reports/sim2real.mcap. Confirm 10 FPS (or configured FPS) timestamps, primary/side/overhead footage, progress/policy/evaluation evidence, and checkpoint accessibility. Pipeline completion does not imply policy efficacy; report measured strict success without weakening the threshold.

Signals

GitHub stars
28
Forks
15
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
sim2real-operate
Source
github.com/nebius/nebius-physical-ai