Beagle is a Claude Code plugin for code review and verification workflows. It supports Python, Go, React, FastAPI, BubbleTea, and AI frameworks like Pydantic AI, LangGraph, and Vercel AI SDK. It helps developers automate code reviews and ensure code quality.
git clone https://github.com/existential-birds/beagle.gitBeagle is a Claude Code plugin for code review and verification workflows. It supports Python, Go, React, FastAPI, BubbleTea, and AI frameworks like Pydantic AI, LangGraph, and Vercel AI SDK. It helps developers automate code reviews and ensure code quality.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/existential-birds/beagleCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Review the following [CODE] for a [COMPANY] in the [INDUSTRY] sector. Identify any potential issues, suggest improvements, and verify the code adheres to best practices. The code is written in [LANGUAGE] and uses the [FRAMEWORK] framework.
# Code Review for E-Commerce Platform ## Overview The provided code is a FastAPI backend for an e-commerce platform. It handles user authentication, product listings, and order processing. ## Issues Found - **Security Vulnerability**: The code does not properly sanitize user inputs, which could lead to SQL injection attacks. - **Performance Bottleneck**: The database queries are not optimized, which could slow down the application under heavy load. - **Code Duplication**: There are several instances of duplicated code in the authentication and order processing modules. ## Recommendations - **Input Sanitization**: Implement input sanitization using a library like `bleach` to prevent SQL injection. - **Query Optimization**: Use indexing and query optimization techniques to improve database performance. - **Code Refactoring**: Extract duplicated code into reusable functions or classes to improve maintainability. ## Verification The code adheres to FastAPI best practices and follows the RESTful API design principles. The use of Pydantic models for data validation is appropriate and recommended.
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