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Code Review Excellence

Checked
hermeticormus·vlatest·backend·MIT

Automates rigorous, production-ready backend code reviews focusing on security, performance, and maintainability using HermeticOrmus's expertise.

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 ormus-solutions/libreuiux-claude-code --skill code-review-excellence -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

hermeticormus

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 hermeticormus/libreuiux-claude-code at 2a69cbbc46.

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

Scanned
1 file, 487 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 provides comprehensive code review feedback, identifying potential bugs, security vulnerabilities, and style inconsistencies. It assesses code quality based on established best practices and can suggest improvements for readability and maintainability. The skill aims to elevate the overall standard of backend code within a project.

When to use it

  • Reviewing pull requests before merging into the main branch.
  • Evaluating new feature implementations for potential issues.
  • Performing routine checks on existing codebase to identify technical debt.
  • Assessing refactored code to ensure quality and adherence to standards.

Key capabilities

  • Bug detection
  • Security vulnerability identification
  • Style consistency checking
  • Readability improvement suggestions
  • Maintainability enhancement recommendations

Example prompts

  • "Review this Python code for potential errors and security vulnerabilities: [code snippet]"
  • "Can you provide feedback on the readability and maintainability of this JavaScript function? [code snippet]"
  • “Analyze this Go file and suggest improvements to its style.”

Tips & gotchas

The skill’s effectiveness is dependent on providing clear, well-formatted code snippets. While it can identify potential issues, a human reviewer should always validate the suggestions before implementation.