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Code Review

Checked
pc-style·vlatest·backend

Analyzes backend code for style consistency, potential bugs, and adherence to PC-style guidelines, suggesting improvements.

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 pc-style/pc-skills --skill code-review -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

pc-style

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 pc-style/pc-skills at ef3df443c3.

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

Commit
ef3df443c3
Manifest
code-review/SKILL.md
Scanned
1 file, 103 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 automated, style-focused code review. It analyzes provided code snippets and identifies potential issues related to formatting, naming conventions, and adherence to common coding styles. The goal is to improve code readability and maintainability by highlighting deviations from established best practices.

When to use it

  • Before submitting a pull request: Quickly identify style-related issues before formal review.
  • During pair programming: Get immediate feedback on code style choices.
  • For onboarding new developers: Ensure consistency with existing codebase styles.
  • Automated CI/CD pipelines: Integrate into your workflow to enforce coding standards automatically.

Key capabilities

  • Style-focused analysis
  • Formatting checks
  • Naming convention enforcement
  • Adherence to common coding styles

Example prompts

  • "Review this Python code for style issues: [code snippet]"
  • "Can you check the formatting of this JavaScript function? [code snippet]"
  • "Analyze this C++ code and suggest improvements based on Google's style guide. [code snippet]"

Tips & gotchas

The skill focuses solely on stylistic concerns; it does not perform functional or security analysis. Providing context about the desired coding style (e.g., "Google Style Guide for Python") can improve results.