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Code Review

Official
coderabbitai·vlatest·backend·MIT

Automates backend code reviews, identifying bugs, security vulnerabilities, and style inconsistencies for improved quality.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add coderabbitai/skills --skill code-review -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

coderabbitai

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned coderabbitai/skills at 965810ae89.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
965810ae89
Manifest
skills/code-review/SKILL.md
Scanned
3 files, 225 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The coderabbitai-code-review skill enables AI agents to analyze and provide feedback on code quality, identify potential bugs or inefficiencies, and suggest improvements. It supports multiple programming languages and can be used for both frontend and backend development tasks.

When to use it

  • Before merging a pull request to ensure code meets quality standards.
  • To review code written by other developers for consistency and best practices.
  • During the initial development phase to catch errors early in the process.
  • For educational purposes, helping learners understand common coding mistakes and how to avoid them.

Key capabilities

  • Code syntax checking and error detection
  • Performance optimization suggestions
  • Style and readability improvements
  • Cross-language support (e.g., Python, JavaScript, Java)

Example prompts

  • "Review this Python script for potential bugs and performance issues."
  • "Analyze the JavaScript function for code style and best practices."
  • "Check this Java class for any security vulnerabilities or inefficiencies."

Tips & gotchas

  • Provide clear context or specific areas of focus to get more accurate feedback.
  • While it supports multiple languages, its effectiveness may vary depending on the complexity and specificity of the code being reviewed.