What is the Fresh Eyes skill for Claude Code?

Fresh Eyes is a skill that allows Claude to call upon a separate, independent AI model to perform a code review, providing a neutral second opinion on your work.

How do I define the scope of a review?

You can provide specific instructions such as reviewing staged changes, a particular commit hash, or all files within a specific subdirectory.

Why should I use a different model for code review?

Using a separate model helps identify blind spots that the original coding model might have missed, ensuring a more rigorous and unbiased evaluation of the logic.

What should I do if the review times out?

The skill defaults to a 15-minute timeout. If a review is particularly large, you can re-run the command with an extended 30-minute timeout setting.

Can Fresh Eyes automatically fix my code?

No, Fresh Eyes is designed to provide an independent report of findings. You can then use those results to decide which changes or fixes to implement yourself.

Fresh Eyes Code Review

Name: Fresh Eyes Code Review
Author: danshapiro

bydanshapiro

•

协作工具

Provides independent, high-level code reviews using a separate large language model to identify logic errors and architectural flaws.

Fresh Eyes is a specialized Claude Code skill designed to offer an unbiased second opinion on your development work. By invoking a secondary, often larger model, it bypasses the inherent biases of the primary coding assistant to catch subtle bugs, security vulnerabilities, or logic inconsistencies. It is particularly useful when finalizing complex features, auditing staged changes, or performing deep dives into specific directories where a 'fresh perspective' is essential for maintaining high code quality.

主要功能

01Extended timeout support for comprehensive reviews of large diffs

026 GitHub stars

03Automated bash-based execution for seamless CLI integration

04Cross-model independent code validation

05Flexible scoping for staged changes, specific commits, or file paths

06Objective reporting of findings without prior context bias

使用场景

01Auditing staged changes before committing to ensure code quality and logic consistency

02Getting a second opinion on critical security-sensitive files within a specific directory

03Reviewing historical commits or branch differences to catch regressions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add danshapiro/fresheyes fresheyes

For use in Claude.ai and ChatGPT

Download Skill