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Review And Refactor

Official
github·vlatest·backend·MIT

Official github skill covering code review, refactoring for developing backend services and APIs.

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 github/awesome-copilot --skill review-and-refactor -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

github

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 github/awesome-copilot at 6c4d33b9cf.

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

Scanned
0 files
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 AI agents to analyze existing code, identify areas for improvement, and suggest refactoring strategies. It can detect inefficiencies, code smells, and potential bugs while proposing cleaner, more maintainable implementations.

When to use it

  • Before merging a pull request to ensure code quality
  • When improving legacy codebases with outdated patterns
  • After identifying performance bottlenecks in an application
  • To enforce consistent coding standards across a team

Key capabilities

  • Code analysis and static checking
  • Detection of redundant or inefficient logic
  • Suggestion of refactoring strategies (e.g., extracting methods, simplifying conditionals)
  • Enforcement of style and best practices

Example prompts

  • "Refactor this Python function to make it more readable."
  • "Identify potential performance issues in this JavaScript module."
  • "Suggest improvements for this legacy C++ codebase."

Tips & gotchas

  • Ensure the AI agent has access to the full code context for accurate suggestions.
  • Review recommendations carefully, as automated refactoring may not always align with project-specific conventions.