Automate parallel GitHub code reviews with 0-10 scoring and issue triage.
npx skills add https://github.com/ebal5/agent-skills --skill review-loop-ebal5
Please help me install this Agent Skill. Skill: review-loop Source: https://github.com/ebal5/agent-skills/tree/main/skills/review-loop Command: npx skills add https://github.com/ebal5/agent-skills --skill review-loop-ebal5
複数視点の fresh-context reviewer を並列起動し、スコア 0-10 で triage、スコア閾値に応じて「対応」または「Issue 起票」を行い、新規 5+ 指摘が出なくなるまでループするレビュープロセスを自動化します。
対象リポジトリの差分を与え、4視点の並列レビューループを開始して新規の高優先指摘がなくなるまで回します。
High-intent search queries and answers about installing and using this skill.
Parallel code review automation launches multiple reviewer perspectives simultaneously to evaluate diffs and triage issues with a 0-10 score. It routes results to immediate fixes, new GitHub issue creation, or skip decisions based on defined score thresholds.
Standardizing quality assurance across multiple review perspectives involves running fresh-context reviewers in parallel, scoring findings 0-10, and looping until fewer than five new high-priority issues appear. This ensures consistent, comprehensive diff evaluation.
Yes, automated issue tracking loops require a multi-agent reasoning framework like Sonnet to evaluate diffs from multiple perspectives. The framework powers the parallel scoring, triage, and routing policy for immediate fixes or new GitHub issue creation.
Triage scoring in code review findings uses a 0-10 scale assessed by parallel reviewers. A defined threshold determines the routing policy: high scores trigger immediate fixes, moderate scores create new GitHub issues, and low scores are skipped.
You should stop the review loop when parallel reviewers produce fewer than five new high-priority findings during an evaluation cycle. This threshold ensures the code diff has been thoroughly checked across all perspectives.
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