Agent skill

PR Review Analysis

by breaking-brake in breaking-brake/cc-wf-studio

Fetches review comments from a GitHub pull request, checks each one against the real code, rates it valid, invalid or partial, and can reply on GitHub.

Custom licenceAuto-check passedDevelopment

SKILL.md written in Japanese; this summary is our English description.

Install PR Review Analysis

skills CLI
$ npx skills add breaking-brake/cc-wf-studio --skill pr-review-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install breaking-brake/cc-wf-studio pr-review-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/breaking-brake/cc-wf-studio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/pr-review-analysis .claude/skills/pr-review-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pr-review-analysis
GitHub stars
5.4k
Token cost
~626 tokens
SKILL.md length
98 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
Custom licence

At a glance

Fetches review comments from a GitHub pull request, checks each one against the real code, rates it valid, invalid or partial, and can reply on GitHub.

  • Works in 5 steps: レビューコメントの取得 → 各指摘の検証 → 影響範囲の確認 → …
  • Checking whether review feedback on a pull request is actually correct
  • SKILL.md covers Workflow and Notes
  • Calls gh

What it does

Given a pull request URL, or a repository and number, the agent pulls reviews and inline comments with gh api and collects each comment's claim, file and line. For every comment it reads the referenced code, checks whether the reviewer is technically right, and labels it valid, invalid or partially valid. It also searches for the same pattern elsewhere in the codebase and includes extra occurrences in the report.

The report is written in Japanese with technical terms left as written. Once fixes are done, the agent offers to reply to each comment, and replies are posted only after you approve: a short fixed-in-commit note for valid findings, an explanation of what was and was not addressed for partial ones, and a technical reason for invalid ones. Bot and human reviews are both handled, comments outside the diff are answered in a related inline thread, and severity is inferred from labels or content.

When your agent uses it

  • Checking whether review feedback on a pull request is actually correct
  • Replying to each review comment after the fixes are pushed
  • Finding other places in the code with a pattern a reviewer flagged

Example prompts

  • “Analyze the review comments on https://github.com/acme/webapp/pull/7 and tell me which are valid.”
  • “Check the CodeRabbit comments on my pull request against the code before I respond.”
  • “Reply to each reviewer comment now that the fixes are committed.”

Requirements

  • GitHub CLI (gh) with access to the repository

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. レビューコメントの取得
  2. 各指摘の検証
  3. 影響範囲の確認
  4. レポート出力
  5. レビューコメントへの返信

What it can do on your machine

Read from SKILL.md and the folder at commit a7bf24a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • gh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use gh, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

PR Review Analysis loads about 626 tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 98 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~626

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 98 words (~626 tokens).

name
pr-review-analysis

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/pr-review-analysis of breaking-brake/cc-wf-studio.

Open the folder on GitHubat commit a7bf24a

Compare with similar skills

PR Review Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

PR Review Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
PR Review Analysis this skillbreaking-brake/cc-wf-studio5.4k—~626Automated safety check: PassCustom licence
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
GitHub Review Iterationprisma/orm48k—~2.2kAutomated safety check: PassApache-2.0
PR Review State Fetchprisma/orm48k—~767Automated safety check: PassApache-2.0
PR Finalize Reviewmicrosoft/garnet12k—~3.1kAutomated safety check: PassMIT
Fastlane Pull Request Reviewfastlane/fastlane42k—~550Automated safety check: PassMIT

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Works with

Categories

Questions about PR Review Analysis

What does PR Review Analysis do?

Fetches review comments from a GitHub pull request, checks each one against the real code, rates it valid, invalid or partial, and can reply on GitHub. Given a pull request URL, or a repository and number, the agent pulls reviews and inline comments with gh api and collects each comment's claim, file and line. For every comment it reads the referenced code, checks whether the reviewer is technically right, and labels it valid, invalid or partially valid.

When should I use PR Review Analysis?

PR Review Analysis fits situations like: checking whether review feedback on a pull request is actually correct; replying to each review comment after the fixes are pushed; finding other places in the code with a pattern a reviewer flagged.

How do I install PR Review Analysis in Claude Code?

Run `npx skills add breaking-brake/cc-wf-studio --skill pr-review-analysis -a claude-code`. Or copy the skill folder (.claude/skills/pr-review-analysis in breaking-brake/cc-wf-studio) into .claude/skills/pr-review-analysis in your project. Claude Code loads it when a task matches its description.

How do I install PR Review Analysis in Codex?

Run `npx skills add breaking-brake/cc-wf-studio --skill pr-review-analysis -a codex`. Or copy the skill folder (.claude/skills/pr-review-analysis in breaking-brake/cc-wf-studio) into .agents/skills/pr-review-analysis in your project. Codex loads it when a task matches its description.

Can I use PR Review Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add breaking-brake/cc-wf-studio --skill pr-review-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pr-review-analysis, .gemini/skills/pr-review-analysis, .github/skills/pr-review-analysis and .opencode/skills/pr-review-analysis in your project.

What does PR Review Analysis need to run?

Going by SKILL.md and its folder, PR Review Analysis needs the command-line tools its instructions call (gh). Our summary lists: GitHub CLI (gh) with access to the repository.

Does PR Review Analysis access the network?

SKILL.md contains no URLs. Its commands use gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is PR Review Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does PR Review Analysis use?

PR Review Analysis has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does PR Review Analysis use?

About 626 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to PR Review Analysis?

Skills that share tags, products or a category with PR Review Analysis: PR Babysitter (openinterpreter/openinterpreter, 69k stars), GitHub Review Iteration (prisma/orm, 48k stars), PR Review State Fetch (prisma/orm, 48k stars) and PR Finalize Review (microsoft/garnet, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains PR Review Analysis?

breaking-brake (a GitHub user) maintains it in breaking-brake/cc-wf-studio, which has 5,394 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 7, 2026.

Source: breaking-brake/cc-wf-studio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.