serve-gr00t-policy

serve-gr00t-policy is an MLOps & model serving skill for AI agents, published by isaac-sim in the IsaacLab-Arena repository on GitHub. Skillspace rates serve-gr00t-policy D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Starts, reuses, verifies, and explicitly stops the local GR00T inference server used by Isaac Lab-Arena Gr00tRemoteClosedloopPolicy experiments. Use when serving the maintained N1.6-DROID policy locally, selecting a GR00T port or model, checking server readiness, handling a GR00T endpoint conflict, or when run-experiment discovers a local GR00T policy dependency. Do not use for running Experiment Definitions, OSMO submission, training, replay-policy serving, other policy providers, or general Arena setup.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
563

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

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • over-broad allowed-tools ('*')

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

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.