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Code Review Expert

Checked
personamanagmentlayer·vlatest·backend·Apache-2.0

Automates thorough code reviews, identifying bugs, security vulnerabilities, and suggesting improvements for backend systems.

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 personamanagmentlayer/pcl --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

personamanagmentlayer

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 personamanagmentlayer/pcl at 79ccaa9820.

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

Commit
79ccaa9820
Manifest
stdlib/tools/code-review-expert/SKILL.md
Scanned
2 files, 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

The code-review-expert skill provides AI agents with specialized capabilities to analyze, critique, and improve software code. It enables automated identification of logical errors, security vulnerabilities, and style inconsistencies within backend projects.

When to use it

  • Before merging pull requests to ensure baseline quality standards are met.
  • During the development phase to catch bugs early in the coding lifecycle.
  • When auditing legacy codebases for modernization opportunities or technical debt.
  • To validate that new features adhere to established team coding conventions.

Key capabilities

  • Automated syntax and logic verification across various backend languages.
  • Detection of potential security flaws and injection vulnerabilities.
  • Analysis of code style adherence to specific frameworks or guidelines.
  • Generation of actionable feedback for developers to refine their implementation.

Example prompts

  • "Review this Python backend module for race conditions and memory leaks."
  • "Analyze the provided Node.js API route for SQL injection vulnerabilities."
  • "Critique this Go service implementation against our team's performance guidelines."

Tips & gotchas

Ensure you provide the full context of the codebase or specific files to allow for accurate dependency analysis. This skill is designed for backend logic; frontend-specific UI/UX issues may require additional context or different specialized skills.