release-cherry-pick-missing-reverts

release-cherry-pick-missing-reverts is a Branching, merging & history skill for AI agents, published by pytorch in the test-infra repository on GitHub. Skillspace rates release-cherry-pick-missing-reverts D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Find reverts that landed on pytorch/pytorch main but are missing from a release branch (release/X.Y) because the reverted commit was already shipped in a release candidate, and open one cherry-pick PR per missing revert against the release branch (on a fork branch, never pushing to release/X.Y directly), optionally posting a cherry-pick nomination comment for each on the release tracker issue. Driven by tools/analytics/github_analyze.py --analyze-missing-reverts-from-branch (the "GitHub Analytics Daily" workflow). Triggered by "missing reverts", "analyze reverts for release", "cherry-pick missing reverts", "reverts not in release/X.Y", or pointing at a GitHub Analytics Daily run and asking to cherry-pick the flagged reverts.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
110

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.

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Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

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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