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Langgraph Code Review

Checked
existential-birds·vlatest·backend·Apache-2.0

Automates Python code reviews using LangGraph, identifying bugs, style issues, and suggesting improvements for backend projects.

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 existential-birds/beagle --skill langgraph-code-review --full-depth -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

existential-birds

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 existential-birds/beagle at d1a74899fb.

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

Commit
d1a74899fb
Manifest
plugins/beagle-ai/skills/langgraph-code-review/SKILL.md
Scanned
1 file, 305 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 langgraph-code-review skill enables AI agents to analyze and review code written in various programming languages. It identifies potential bugs, performance issues, and style inconsistencies while providing suggestions for improvement based on best practices.

When to use it

  • Before merging a pull request to ensure code quality
  • During code refactoring to identify areas for optimization
  • When onboarding new developers to enforce coding standards

Key capabilities

  • Syntax checking across multiple programming languages
  • Detection of common bugs and logical errors
  • Code style analysis based on predefined or custom rules
  • Suggestion of performance improvements and best practices

Example prompts

  • "Review this Python script for potential bugs and suggest improvements."
  • "Analyze the JavaScript function for code style issues and optimization opportunities."
  • "Check this Go file for syntax errors and provide a clean code version."

Tips & gotchas

  • Ensure that the code being reviewed is properly formatted and includes relevant context.
  • While the skill supports multiple languages, its accuracy may vary depending on the complexity of the language or framework used.