robotic_grounding_whole_body
robotic_grounding_whole_body is an Embedded, IoT & robotics skill for AI agents, published by nvidia-isaac in the video_to_data repository on GitHub. Skillspace rates robotic_grounding_whole_body D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Pointer skill for the robotic_grounding G1 WHOLE-BODY humanoid pipeline (SONIC controller + RL residuals). Orients the user on the two reference-motion sources and the SonicG1 Isaac Lab tasks, then points at the authoritative source READMEs for exact commands. Use this skill whenever the user works with the G1 humanoid or whole-body motion: "retarget SOMA to G1", "run the whole-body planner", "SonicG1", "ReconBody / ReconHand", "train the G1 whole-body policy", "g1_planner", "whole-body eval", or mentions the G1 robot / SONIC controller. For the floating-hand (Sharpa Wave / Dex3) pipeline use robotic_grounding_run; for failures use robotic_grounding_doctor.
- Grade
- D
- Quality
- 65 / 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.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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