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Code Analyzer

Checked
petbrains·vlatest·backend·MIT

The Code Analyzer identifies potential bugs, vulnerabilities, and style issues in your code, boosting development efficiency and code quality.

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 app-builders-club/mvp-builder --skill code-analyzer -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

petbrains

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 petbrains/mvp-builder at dd9e416f33.

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

Commit
dd9e416f33
Manifest
skills/code-analyzer/SKILL.md
Scanned
2 files, 377 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

The petbrains-code-analyzer skill analyzes code provided to it, likely identifying potential issues or offering suggestions. It's designed to help developers understand and improve their codebase. The specific nature of the analysis isn’t detailed in the source content, but it implies a focus on code quality and understanding.

When to use it

  • Debugging: To get insights into why a particular piece of code might not be working as expected.
  • Code Review: As an automated assistant during code review processes.
  • Learning New Codebases: To quickly understand the structure and potential pitfalls within unfamiliar projects.
  • Refactoring: To identify areas in a codebase ripe for improvement or simplification.

Key capabilities

  • Code analysis
  • Potential issue identification
  • Suggestion generation (implied)

Example prompts

  • "Analyze this Python code snippet: [code]"
  • "Can you review this JavaScript function and point out any potential problems?"
  • "Explain what this C++ class does."

Tips & gotchas

The specific types of analysis performed by the skill are not described. Results should be reviewed critically, as it is an automated tool.