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Code Reviewer

Checked
borghei·vlatest·backend

This Code Reviewer analyzes your backend code for potential bugs and style issues, boosting code quality and reducing errors.

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 borghei/claude-skills --skill code-reviewer -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

borghei

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 borghei/claude-skills at 4a698e8d07.

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

Commit
4a698e8d07
Manifest
engineering/code-reviewer/SKILL.md
Scanned
8 files, 3,436 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 AI agents to perform automated code reviews, analyzing submitted code for quality, security vulnerabilities, and adherence to best practices. It acts as a peer reviewer to catch errors before they are merged into the main repository.

When to use it

  • Before merging pull requests in a team environment to ensure code consistency.
  • When reviewing third-party contributions to verify security compliance.
  • During solo development sessions to identify logical flaws or inefficiencies early.
  • As a pre-commit hook to enforce coding standards automatically.

Key capabilities

  • Automated analysis of code submissions for structural integrity.
  • Detection of common security vulnerabilities and anti-patterns.
  • Feedback generation based on established best practices.
  • Support for multiple programming languages within the backend category.

Example prompts

  • "Review this Python function for potential race conditions and memory leaks."
  • "Analyze the provided JavaScript module for security vulnerabilities before deployment."
  • "Check this code snippet against our team's style guide and suggest improvements."

Tips & gotchas

Ensure your AI agent has access to the specific coding standards or style guides you want it to enforce, as these may not be hardcoded into the skill. While effective at catching common issues, complex architectural decisions might still require human oversight.