pr-review-analysis
Analyze PR review comments from a GitHub PR URL. Fetch review comments, verify each finding against the actual codebase, assess validity (correct/incorrect/partial), present a structured summary with recommended actions, and optionally reply to each comment on GitHub
Install / Use
npx skills add breaking-brake/cc-wf-studio --skill pr-review-analysisInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of pr-review-analysis
pr-review-analysis scores 88/100 on our quality scale, 831st of 1,985 Automation skills we index (top 42%).
Its SKILL.md is 2.4 KB long, well organised into 13 sections with 1 code example: a solid amount of guidance for an agent.
With 5,390 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 7 days ago, so pr-review-analysis is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-28. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
pr-review-analysis compared with similar skills
All 4 of these similar skills score higher than pr-review-analysis; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| pr-review-analysis (this skill)by breaking-brake | 88 | 5.4k | 7d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.9k | 12d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.0k | 1d ago | CLAUDE.md |
| rufloby ruvnet | 100 | 73.4k | today | CLAUDE.md |
| crawl4aiby unclecode | 100 | 84.4k | 3d ago | MCP Server |
Frequently asked questions
- How do I install pr-review-analysis?
- Run
npx skills add breaking-brake/cc-wf-studio --skill pr-review-analysis. The install tabs above show the steps for each supported agent. - Which AI agents does pr-review-analysis work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is pr-review-analysis safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is pr-review-analysis still maintained?
- The repository was last updated 7 days ago, so pr-review-analysis is actively maintained.
Skill content
View source on GitHubname: pr-review-analysis description: Analyze PR review comments from a GitHub PR URL. Fetch review comments, verify each finding against the actual codebase, assess validity (correct/incorrect/partial), present a structured summary with recommended actions, and optionally reply to each comment on GitHub. Use when given a PR review URL or when asked to check/analyze PR feedback.
PR Review Analysis
GitHub PR のレビューコメントを取得・分析し、各指摘の妥当性を検証してレポートを出力する。
Workflow
Step 1: レビューコメントの取得
- ユーザーから PR の URL またはリポジトリ情報と PR 番号を受け取る
gh apiを使ってレビューコメントを取得する:gh api repos/{owner}/{repo}/pulls/{number}/reviews gh api repos/{owner}/{repo}/pulls/{number}/comments- コメントの一覧をパースし、指摘内容・対象ファイル・行番号を整理する
Step 2: 各指摘の検証
各レビューコメントについて:
- 該当コードの確認: 指摘が参照するファイルと行を Read ツールで読む
- 指摘内容の分析: レビューアの主張が技術的に正しいか検証する
- 妥当性の判定:
- ✅ 正当 (Valid): 指摘が正しく、修正が必要
- ❌ 不当 (Invalid): 指摘が誤っている、または該当しない
- ⚠️ 部分的に正当 (Partial): 指摘の一部は正しいが、完全には当てはまらない
Step 3: 影響範囲の確認
指摘が参照するパターン(バグ、アンチパターン等)が他のファイルにも存在するか Grep ツールで確認する。 同一パターンが複数箇所にある場合、それらも報告に含める。
Step 4: レポート出力
以下の形式でまとめを出力する:
## PR Review Analysis: #{PR番号}
### Summary
- Total comments: {件数}
- Valid: {件数} | Partial: {件数} | Invalid: {件数}
### Details
| # | File | Severity | Validity | Summary | Action |
|---|------|----------|----------|---------|--------|
| 1 | path/to/file.ts:L42 | Major | ✅ Valid | 説明 | 修正必要 |
| 2 | path/to/file.ts:L100 | Minor | ⚠️ Partial | 説明 | 検討 |
### Detailed Analysis
#### Comment 1: [タイトル]
- **File**: `path/to/file.ts:L42`
- **Reviewer's point**: 指摘内容の要約
- **Verification**: 検証結果の説明
- **Verdict**: ✅ Valid
- **Recommended action**: 具体的な修正方針
- **Same pattern found in**: (該当する場合) 他のファイルパス
...
Step 5: レビューコメントへの返信
レポート出力後、修正対応が完了している場合はレビューコメントへの返信を提案する。
- ユーザー確認: 「コメントに返信しますか?」と確認する。ユーザーが承認した場合のみ返信を実行する
- 返信内容の生成: 各コメントの Verdict に応じた返信を生成する:
- ✅ Valid: 修正コミットハッシュを含めて「Fixed in {hash}」形式で返信
- ⚠️ Partial: 対応した部分と対応しない理由を簡潔に説明
- ❌ Invalid: 該当しない理由を技術的に説明(例: 自動生成ファイルのため直接編集不可)
- 返信の実行:
gh apiで各コメントに返信する:gh api repos/{owner}/{repo}/pulls/{number}/comments \ -f body='{返信内容}' \ -F in_reply_to={comment_id} - Outside-diff コメントの対応: インラインコメントとして返信できない指摘(outside-diff)は、関連するインラインコメントのスレッドにまとめて返信する
Notes
- Bot によるレビュー(CodeRabbit, GitHub Actions 等)と人間のレビューの両方に対応する
- レビューコメントに対する返信スレッドも考慮する
- 指摘の severity(重大度)はレビューコメントのラベルまたは内容から推定する
- 日本語で出力する(コード・パス等の技術用語は原文のまま)
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
