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Code Review Expert

Checked
sanyuan0704·vlatest·backend·MIT

Provides expert backend code review focusing on efficiency, security, and adherence to best practices for robust applications.

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 sanyuan0704/sanyuan-skills --skill code-review-expert -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

sanyuan0704

Taken from the source listing. We haven't verified who controls this account.

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 sanyuan0704/sanyuan-skills at 08b6572ef1.

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

Commit
08b6572ef1
Manifest
skills/code-review-expert/SKILL.md
Scanned
7 files, 589 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

This skill enables an AI agent to perform detailed code reviews, identifying potential bugs, security vulnerabilities, and inefficiencies in backend code. It provides actionable feedback on code structure, readability, and adherence to best practices.

When to use it

  • Before merging a pull request to ensure code quality
  • When refactoring legacy code for maintainability
  • To identify performance bottlenecks or memory leaks
  • As part of a CI/CD pipeline to automate code review processes

Key capabilities

  • Detects common coding errors and logical flaws
  • Analyzes adherence to style guides and best practices
  • Highlights security risks such as SQL injection or XSS vulnerabilities
  • Suggests optimizations for performance and readability

Example prompts

  • "Review this Node.js backend code for potential bugs and security issues."
  • "Analyze the Python script for PEP8 compliance and suggest improvements."
  • "Check this REST API implementation for scalability and error handling."

Tips & gotchas

  • Ensure that the code being reviewed is well-documented to maximize accuracy.
  • While the skill identifies many common issues, it may not catch context-specific logic errors without additional domain knowledge.