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Last changedVersion:
This version passed the hardening gate. The skill content was retained without changes. Classified findings before hardening: 2. Classified findings closed: 0. Classified findings remaining: 2. Unclassified scanner findings remaining: 0. Review findings closed: 0. Review findings remaining: 14.
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Expand | File | Group | Subtype | Severity | Status |
|---|---|---|---|---|---|
skill-card.md | Sensitive Data & Secret Exposure | Agent snooping | Medium | Open | |
BENCHMARK.md | Sensitive Data & Secret Exposure | Agent snooping | Medium | Open |
2 findings
Split a large pull request into multiple smaller PRs, where each PR touches
the fewest possible CODEOWNERS reviewer groups. The goal is to reduce review
burden: a PR that only touches megatron/core/ needs only the core reviewers,
while a PR that also touches examples/, tools/, and megatron/training/
pulls in many additional groups.
For split-planning questions, lead with these constraints before the full workflow:
git diff upstream/main..<source-branch> -- <paths> | git apply, pushes
to the user's fork, and never pushes directly to upstream.gh pr view <number> --repo NVIDIA/Megatron-LM --json title,body,headRefName,author and gh pr diff <number> --repo NVIDIA/Megatron-LM --stat. Also determine the current GitHub user with gh api user --jq .login..github/CODEOWNERS to build a mapping from file path patterns to owner groups.The primary optimization goal: minimize the number of CODEOWNERS reviewer groups required for each resulting PR.
Strategy:
Present the proposed split as a table:
Wait for user approval before proceeding.
For each new PR:
main, or a dependency PR's branch).git diff upstream/main..<source-branch> -- <file paths> | git apply.Get started with chainctlchainctl skill install public/nvidia/mcore-split-pr:latest
Bring Chainguard's hardening pipeline to your first-party skills — custom rulesets, automated remediation, full audit trail.
skills.cgr.dev/public/github.com/nvidia/skills/mcore-split-pr:latest
Apache-2.0
BENCHMARK.md
HARDENING.md
LICENSE
SKILL.md
evals/evals.json
skill-card.md
skill.oms.sig