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command Claude Code official · Anthropic

code-review — Claude Code command: what it does, how to install

Runs a multi-agent code review on a pull request using the gh CLI. It checks CLAUDE.md guidelines and weeds out false positives.

Install into Claude Code · Plugin marketplace All methods and platforms ↓
/plugin install code-review@claude-plugins-official
Open on GitHub

What code-review does

This command inspects pull requests directly through the GitHub CLI. A Haiku agent first checks the pull request status, skipping drafts and closed branches. Then, it locates relevant CLAUDE.md rule files in the repository root and changed folders.

The main review runs across 5 parallel Sonnet agents. Each focuses on a distinct angle: CLAUDE.md compliance, obvious bugs in modified lines, git blame history, past PR discussions, and inline code comments. Separate Haiku agents score every detected issue from 0 to 100. Any issue scoring below 80 gets discarded so only verified problems remain.

The workflow leaves build checks and type errors to regular CI pipelines. It posts the final feedback directly to GitHub via the gh tool with exact commit permalinks. Use it when maintaining strict repository guidelines, but keep in mind that it requires the gh CLI configured on your system.

What it helps with

  • detect obvious bugs in pull request diffs
  • enforce guidelines from repository CLAUDE.md files
  • cross-check changes against git blame and past pull requests
  • filter out linter noise and low-confidence warnings

Example prompts for the agent

  • Review the current pull request
  • Run code-review on the open PR
  • Check this pull request against CLAUDE.md rules

How to install code-review

1Plugin marketplace

/plugin install code-review@claude-plugins-official

2Manually: put the files in place

.claude/commands/code-review.md

Call it with /code-review. For all projects use ~/.claude/commands/

Questions about code-review

How to install code-review in Claude Code?

Run /plugin install code-review@claude-plugins-official in Claude Code or place the file at .claude/commands/code-review.md.

What does code-review do?

It runs parallel agents to review pull requests for bugs and guideline compliance. Validated findings are posted directly to GitHub as comments.

What dependencies are required for code-review?

You need the gh command-line tool installed and authenticated. The command relies on gh to read diffs and publish comments.

Source text

code-review.md · Apache-2.0
---
allowed-tools: Bash(gh issue view:*), Bash(gh search:*), Bash(gh issue list:*), Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*), Bash(gh pr list:*)
description: Code review a pull request
disable-model-invocation: false
---

Provide a code review for the given pull request.

To do this, follow these steps precisely:

1. Use a Haiku agent to check if the pull request (a) is closed, (b) is a draft, (c) does not need a code review (eg. because it is an automated pull request, or is very simple and obviously ok), or (d) already has a code review from you from earlier. If so, do not proceed.
2. Use another Haiku agent to give you a list of file paths to (but not the contents of) any relevant CLAUDE.md files from the codebase: the root CLAUDE.md file (if one exists), as well as any CLAUDE.md files in the directories whose files the pull request modified
3. Use a Haiku agent to view the pull request, and ask the agent to return a summary of the change
4. Then, launch 5 parallel Sonnet agents to independently code review the change. The agents should do the following, then return a list of issues and the reason each issue was flagged (eg. CLAUDE.md adherence, bug, historical git context, etc.):
   a. Agent #1: Audit the changes to make sure they compily with the CLAUDE.md. Note that CLAUDE.md is guidance for Claude as it writes code, so not all instructions will be applicable during code review.
   b. Agent #2: Read the file changes in the pull request, then do a shallow scan for obvious bugs. Avoid reading extra context beyond the changes, focusing just on the changes themselves. Focus on large bugs, and avoid small issues and nitpicks. Ignore likely false positives.
   c. Agent #3: Read the git blame and history of the code modified, to identify any bugs in light of that historical context
   d. Agent #4: Read previous pull requests that touched these files, and check for any comments on those pull requests that may also apply to the current pull request.
   e. Agent #5: Read code comments in the modified files, and make sure the changes in the pull request comply with any guidance in the comments.
5. For each issue found in #4, launch a parallel Haiku agent that takes the PR, issue description, and list of CLAUDE.md files (from step 2), and returns a score to indicate the agent's level of confidence for whether the issue is real or false positive. To do that, the agent should score each issue on a scale from 0-100, indicating its level of confidence. For issues that were flagged due to CLAUDE.md instructions, the agent should double check that the CLAUDE.md actually calls out that issue specifically. The scale is (give this rubric to the agent verbatim):
   a. 0: Not confident at all. This is a false positive that doesn't stand up to light scrutiny, or is a pre-existing issue.
   b. 25: Somewhat confident. This might be a real issue, but may also be a false positive. The agent wasn't able to verify that it's a real issue. If the issue is stylistic, it is one that was not explicitly called out in the relevant CLAUDE.md.
   c. 50: Moderately confident. The agent was able to verify this is a real issue, but it might be a nitpick or not happen very often in practice. Relative to the rest of the PR, it's not very important.
   d. 75: Highly confident. The agent double checked the issue, and verified that it is very likely it is a real issue that will be hit in practice. The existing approach in the PR is insufficient. The issue is very important and will directly impact the code's functionality, or it is an issue that is directly mentioned in the relevant CLAUDE.md.
   e. 100: Absolutely certain. The agent double checked the issue, and confirmed that it is definitely a real issue, that will happen frequently in practice. The evidence directly confirms this.
6. Filter out any issues with a score less than 80. If there are no issues that meet this criteria, do not proceed.
7. Use a Haiku agent to repeat the eligibility check from #1, to make sure that the pull request is still eligible for code review.
8. Finally, use the gh bash command to comment back on the pull request with the result. When writing your comment, keep in mind to:
   a. Keep your output brief
   b. Avoid emojis
   c. Link and cite relevant code, files, and URLs

Examples of false positives, for steps 4 and 5:

- Pre-existing issues
- Something that looks like a bug but is not actually a bug
- Pedantic nitpicks that a senior engineer wouldn't call out
- Issues that a linter, typechecker, or compiler would catch (eg. missing or incorrect imports, type errors, broken tests, formatting issues, pedantic style issues like newlines). No need to run these build steps yourself -- it is safe to assume that they will be run separately as part of CI.
- General code quality issues (eg. lack of test coverage, general security issues, poor documentation), unless explicitly required in CLAUDE.md
- Issues that are called out in CLAUDE.md, but explicitly silenced in the code (eg. due to a lint ignore comment)
- Changes in functionality that are likely intentional or are directly related to the broader change
- Real issues, but on lines that the user did not modify in their pull request

Notes:

- Do not check build signal or attempt to build or typecheck the app. These will run separately, and are not relevant to your code review.
- Use `gh` to interact with Github (eg. to fetch a pull request, or to create inline comments), rather than web fetch
- Make a todo list first
- You must cite and link each bug (eg. if referring to a CLAUDE.md, you must link it)
- For your final comment, follow the following format precisely (assuming for this example that you found 3 issues):

---

### Code review

Found 3 issues:

1. <brief description of bug> (CLAUDE.md says "<...>")

<link to file and line with full sha1 + line range for context, note that you MUST provide the full sha and not use bash here, eg. https://github.com/anthropics/claude-code/blob/1d54823877c4de72b2316a64032a54afc404e619/README.md#L13-L17>

2. <brief description of bug> (some/other/CLAUDE.md says "<...>")

<link to file and line with full sha1 + line range for context>

3. <brief description of bug> (bug due to <file and code snippet>)

<link to file and line with full sha1 + line range for context>

🤖 Generated with [Claude Code](https://claude.ai/code)

<sub>- If this code review was useful, please react with 👍. Otherwise, react with 👎.</sub>

---

- Or, if you found no issues:

---

### Code review

No issues found. Checked for bugs and CLAUDE.md compliance.

🤖 Generated with [Claude Code](https://claude.ai/code)

- When linking to code, follow the following format precisely, otherwise the Markdown preview won't render correctly: https://github.com/anthropics/claude-cli-internal/blob/c21d3c10bc8e898b7ac1a2d745bdc9bc4e423afe/package.json#L10-L15
  - Requires full git sha
  - You must provide the full sha. Commands like `https://github.com/owner/repo/blob/$(git rev-parse HEAD)/foo/bar` will not work, since your comment will be directly rendered in Markdown.
  - Repo name must match the repo you're code reviewing
  - # sign after the file name
  - Line range format is L[start]-L[end]
  - Provide at least 1 line of context before and after, centered on the line you are commenting about (eg. if you are commenting about lines 5-6, you should link to `L4-7`)

© Anthropic · Apache-2.0 · anthropics/claude-plugins-official

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