Evaluate external pull requests against a contribution rubric and assign triage labels.
npx skills add https://github.com/anajuliabit/aeon --skill pr-triage-anajuliabit
Please help me install this Agent Skill. Skill: PR Triage Source: https://github.com/anajuliabit/aeon/tree/main/skills/pr-triage Command: npx skills add https://github.com/anajuliabit/aeon --skill pr-triage-anajuliabit
It prevents external pull requests from languishing unanswered by quickly producing a consistent first-touch verdict, rationale, and label so human reviewers can pick them up with clear context.
triage:* label (accepted / needs-changes / deferred / out-of-scope) to make queue filtering easy.memory/triaged-prs.json keyed on (PR number, headRefOid) and also defensively deduplicates by recent triage comments.Use PR Triage to triage an opened external pull request by running the skill with an optional target like owner/repo#N or leaving it empty to triage all watched repositories.
High-intent search queries and answers about installing and using this skill.
Automate pull request triage by evaluating external PRs against a structured contribution rubric to instantly generate a verdict, welcome comment, and label. This provides consistent first-touch context so human reviewers can quickly pick up the queue.
Automated code review workflows can run in single-PR, repo-wide, or fleet mode across watched GitHub repositories. The process focuses on open PRs from the last 14 days while skipping drafts, trusted authors, and already-triaged commits.
Diff analysis evaluates changes against contribution rubric rules and will conditionally close a PR if it detects out-of-scope protected-path violations. This enforces operational requirements and prevents unwanted modifications to critical code areas.
Prevent duplicate triage comments by using idempotent state tracking via a memory file keyed on PR number and head commit hash. The system also defensively deduplicates by checking for recent triage comments posted within the last 7 days.
Evaluate PR originality and size by applying an automated contribution rubric that checks scope, format, originality, and dimensions. This produces a structured first-touch verdict and rationale, ensuring clear context before human review.
anajuliabitReview open GitHub pull requests with severity-tagged, line-precise findings.
SuperCorksFetch GitHub PR reviews via gh CLI and apply latest reviewer feedback.
roderikRun six-agent code reviews on git diffs and output structured findings.
simonheimlicherEnforce adversarial Python code review that rejects mocking and generates a formal report.