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pr-review

Guide reviewers through systematic, constructive peer review of a pull request.

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  • assets/review-checklist.template1.7 KB

SKILL.md(原文)

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What I do

I help you review someone else's PR systematically across six key dimensions:

  1. Intent Understanding — Read the PR description first; understand why before looking at code
  2. Test Review — Examine tests before implementation; they document intent
  3. Correctness — Evaluate logic: Does the code do what it claims? What could go wrong?
  4. Edge Cases — Identify boundary conditions: empty input, nulls, concurrency, large volumes
  5. Security — Flag security-relevant changes: auth, inputs, secrets, privilege escalations
  6. Feedback Quality — Ensure every comment is actionable and constructive

The result is a well-structured, thorough review that helps the author improve and maintains code quality.

Supporting files in this skill:

  • assets/review-checklist.template — The six-dimension checklist as a markdown file

When to use me

Use when you want to:

  • Review a PR assigned to you with clear structure and guidance
  • Avoid missing important review areas (logic, edge cases, security)
  • Write actionable, constructive feedback instead of vague criticism
  • Complete a thorough review efficiently
  • Help the author improve the code, not just rubber-stamp it

PR lifecycle focus

Stage: Peer review by reviewer (after PR is opened, before merge).

Use Instead [if available]

  • Use pr-self-review for author-side checks before requesting review.
  • Use pr-create for drafting title/body and opening a PR.
  • Use github-pull-request-handling for resolving existing review threads with follow-up commits and replies.

Example usage

"Help me review this PR" "Guide me through reviewing these changes" "Walk me through a systematic peer review" "Review PR #42" "Review this PR: https://github.com/myorg/myrepo/pull/99"


Workflow

Here's how I guide you through peer review:

Step 0: Auto-Fetch PR Details (with gh CLI if available)

If you provide a PR number or URL, I'll automatically fetch metadata using gh pr view:

  • PR title, description, and linked issues
  • Files changed with change counts
  • Lines added/removed
  • CI/test status
  • Current reviewers and approval status

Fallback: If gh is unavailable or unauthenticated, I'll ask you to paste the PR link or describe the changes manually.


Step 1: Read the Intent First

Start with the PR description and linked issues — NOT the code. (Note: If Step 0 auto-fetched the PR, I'll have already retrieved the description above)

  • Read what the author says changed and why
  • Read linked Jira issues for business context
  • Ask yourself: "Do I understand the problem being solved?"
  • Confirm understanding before looking at implementation

Step 2: Review Tests First

Look at the test files before the implementation.

  • Tests document what the author intended to build
  • Poor tests = poor specification of intent
  • Flag missing tests or weak test coverage early
  • Ask: "Do these tests actually verify the claimed behavior?"

Step 3: Evaluate Correctness

Review the implementation logic step-by-step. For each logical change:

  • Does this code do what the PR description says it does?
  • Is the logic sound?
  • Are there off-by-one errors, null pointer risks, or type mismatches?
  • Are assumptions about input clearly documented?

Example comment: "This [operation] assumes [X]. What happens if [X] is violated? Consider adding a guard."

Step 4: Check Edge Cases

Think like an adversary: What could break this code?

  • Empty input or null values?
  • Concurrent access or race conditions?
  • Large volumes (performance degradation)?
  • Boundary values (min, max, zero)?
  • Timeouts or network failures?
  • Permission/authorization edge cases?

Example comment: "What happens when [condition]? Current code would [fail behavior]. Consider [suggested fix]."

Step 5: Security Check

Flag security-relevant changes.

  • New user inputs: Are they validated?
  • Authentication/authorization changes: Correct implementation?
  • Secrets or credentials: Any exposed in logs or code?
  • Privilege escalations: Properly gated?
  • External integrations: Using HTTPS, signing requests, validating responses?

Be specific: "This endpoint now accepts user input. Verify it's validated against [specific vulnerability class]."

Step 6: Feedback Quality Pass

Before submitting, review EVERY comment you wrote.

Each comment must follow this pattern:

This [specific code element] [does what/could cause what].
Consider [specific, actionable suggestion] because [why it matters].

Examples:

  • ✅ GOOD: "This loop assumes the list is sorted. Consider adding an assertion or a sort call because unsorted input would produce incorrect results."
  • ❌ BAD: "This looks inefficient"
  • ✅ GOOD: "This regex pattern doesn't account for escaped quotes. Use the standard library function instead because hand-rolled parsers miss edge cases."
  • ❌ BAD: "Why reinvent the wheel?"

Distinguish blocking (must fix before merge) from non-blocking (nice to have):

  • Use "MUST" for blocking issues
  • Use "Consider" or "Suggest" for non-blocking improvements

Step 7: Render Your Decision

Submit your review with a clear decision:

  • Approve: Code is good, no changes needed
  • Approve with comments: Code is good but has suggestions for future improvements
  • Request Changes: Code has issues that must be fixed before merging
  • Comment: Questions or discussion, decision deferred

Provide a brief summary:

Good PR overall. Main feedback:
- Tests look solid
- Logic is sound on auth changes
- One edge case to handle: [specific case]

Tips for Success

  • Start with intent, not code — 80% of review quality comes from understanding the problem first
  • Be constructive, not critical — You're helping improve code, not finding fault
  • Ask questions, don't demand — "What happens if...?" is more collaborative than "You didn't handle..."
  • Distinguish blocking from non-blocking — Don't block merges over style preferences
  • Understand the context — A 400-line PR solving a hard problem deserves more scrutiny than a typo fix
  • Approve good work — Don't nitpick. If the code is correct and tests are solid, approve it

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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