mcore-onboard-gb200-1node-tests

mcore-onboard-gb200-1node-tests is a Test authoring & frameworks skill for AI agents, published by NVIDIA in the Megatron-LM repository on GitHub. Skillspace rates mcore-onboard-gb200-1node-tests B (81/100) and it passed the safety scan; a judge model has also reviewed it.

Onboard 1-node GitHub MR functional tests for GB200 from existing mr-scoped 2-node tests.

Grade
B
Quality
81 / 100
Safety
Passed
GitHub stars
17,075

Placed #4 of 6 in the judged category final for Test authoring & frameworks.

Not launch-quality. It is graded B with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

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.

View source on GitHubNVIDIA/Megatron-LM

Our review

Architecture
100 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Repo-internal: written for the repository it lives in. Edits Megatron-LM's own tests/test_utils/recipes and MR CI scopes

Judge review

Placed #4 of 6 in the judged category final for Test authoring & frameworks.

  • Trigger7575
  • Instructions9393
  • Specificity9595
  • Safety9696
  • Disclosure8585
  • Maintenance6868
Exceptionally precise GPU-test-porting workflow with an explicit parallelism-reduction formula, worked before/after examples, and a completion checklist, though narrow in scope.

Not checked yet

  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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