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Code Review Expert

Checked
sanyuan0704·vlatest·backend·MIT

Analyzes backend code for bugs, inefficiencies, and style violations, suggesting improvements aligned with best practices.

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/code-review-expert 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

The code-review-expert skill enables AI agents to analyze and evaluate backend code for quality, performance, security, and best practices. It identifies potential bugs, suggests improvements, and ensures the code aligns with industry standards.

When to use it

  • Before merging a pull request in a collaborative development environment.
  • To assess third-party or legacy code for integration into an existing project.
  • During code refactoring to ensure clean, maintainable architecture.
  • When preparing documentation or training materials on best practices.

Key capabilities

  • Detects common coding errors and logical flaws.
  • Provides suggestions for performance optimization.
  • Checks adherence to security standards (e.g., input validation, authentication).
  • Offers style and formatting recommendations based on established conventions.

Example prompts

  • "Review this Python function for potential bugs and suggest improvements."
  • "Analyze the Node.js code for security vulnerabilities and best practice violations."
  • "Evaluate the efficiency of this SQL query and propose optimizations."

Tips & gotchas

  • Ensure the AI agent has access to relevant project documentation or context for accurate analysis.
  • While the skill is highly effective, it may not catch nuanced issues that require deep domain-specific knowledge.