robotic_grounding_onboard

robotic_grounding_onboard is an Integration & environment testing skill for AI agents, published by nvidia-isaac in the video_to_data repository on GitHub. Skillspace rates robotic_grounding_onboard D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Interactive first-run walkthrough for robotic_grounding (build the Docker image → provide MANO + a dataset → run the retarget pipeline → dummy-agent smoke test → optional train/eval). Drives the user ONE STEP AT A TIME with verification between steps, not as a reference dump. Use this skill whenever the user is setting up robotic_grounding for the first time: "how do I get started with robotic_grounding", "first time running the pipeline", "onboard me", "robotic grounding quickstart", "I cloned the repo, what do I run", "run my first retarget/smoke test", or generally asks how to go from a fresh clone to a working motion + smoke test. For generating a single command use robotic_grounding_run; for failures use robotic_grounding_doctor; for whole-body G1 use robotic_grounding_whole_body.

Grade

D

Quality

66 / 100

Safety

Passed

GitHub stars

585

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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