Analyze PR size and risk to assign a review tier and dispatch prompts.
npx skills add https://github.com/go-to-k/cdkd --skill review-pr-go-to-k
Please help me install this Agent Skill. Skill: review-pr Source: https://github.com/go-to-k/cdkd/tree/main/.claude/skills/review-pr Command: npx skills add https://github.com/go-to-k/cdkd --skill review-pr-go-to-k
Automatically determines the appropriate level of PR review rigor based on size and risk, and provides a concrete plan for reviewers.
Run /review-pr <PR-number> to get a recommended review tier and ready-to-dispatch prompts.
High-intent search queries and answers about installing and using this skill.
PR review depth is determined by analyzing the pull request's size in lines of code, changed files, and baseline risk. Bias factors for surface areas like security, tests, and infrastructure adjust the assessment to produce a final review tier.
Automating pull request review triage applies defined heuristics to PR stats read via gh, predicting a required review tier. It outputs ready-to-use dispatch prompts to balance review load across multiple PRs for large teams.
Heuristics-based PR review prediction evaluates PR size and file changes against baseline risk, applying bias factors for security, tests, and infra surface areas. It outputs a structured plan with a final tier of inline, 1-reviewer, or 3-axis.
Yes, you can balance PR review load by running the review-pr command on a PR number. It evaluates size and risk to recommend an appropriate review tier and provides ready-to-dispatch prompts for orchestrating reviewers.
Automated heuristics for PR review tiering rely on quantifiable metrics like LOC and changed files read via gh. They may not capture nuanced contextual risks beyond defined surface areas like security, tests, and infrastructure without manual bias adjustments.
Yes, the review-pr Skill requires the GitHub CLI (gh) to read PR stats. It uses these statistics to apply heuristics and output a structured review plan with appropriate tiers and dispatch prompts.
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