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
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