What specifically does this skill look for in Rust code?

It audits nine specific areas: Clippy violations, borrowing/cloning efficiency, Option/Result handling, iterator patterns, error handling structures, performance anti-patterns, documentation quality, type system usage, and AI-generated 'slop'.

Does it replace standard tools like Clippy?

No, it complements Clippy by enforcing higher-level architectural patterns and best practices that standard linters often miss, such as the Type State pattern and preferred library error structures.

Can it fix the issues it discovers automatically?

Yes. After providing a categorized report (Critical, Warnings, Suggestions), the skill asks if you would like to fix all issues, only critical ones, or skip the automated refactoring.

Is this skill suitable for both library and binary projects?

Yes, it specifically distinguishes between the two, recommending 'thiserror' for libraries to ensure clean APIs and 'anyhow' for binaries to simplify error management.

Rust Quality Auditor

Name: Rust Quality Auditor
Author: JSai23

byJSai23

•

開発者ツール

Audits Rust codebases for idiomatic patterns, performance optimizations, and adherence to Apollo best practices.

The util-rust-quality skill is a specialized auditing tool designed to elevate Rust code to professional standards. It performs deep analysis across nine critical categories including memory management, error propagation, and type system design. By identifying common pitfalls like unnecessary cloning, non-idiomatic iterator patterns, and 'Rust Slop' (verbose AI-generated cruft), it helps developers maintain high-performance and maintainable crates. After scanning, the skill provides a prioritized report of critical fixes and suggestions, offering to automate the refactoring process directly within your workspace.

主な機能

01Idiomatic Error and Option handling enforcement using thiserror and anyhow patterns

02Comprehensive memory audit for inefficient borrowing and excessive heap allocations

031 GitHub stars

04Type system analysis ensuring compile-time safety and zero-cost abstractions

05Performance anti-pattern detection for iterators, allocations, and dispatch methods

06Automated cleanup of over-engineered or verbose AI-generated code structures

ユースケース

01Automated code review for identifying subtle memory and ownership inefficiencies

02Standardizing error handling and documentation across large-scale Rust projects

03Refactoring mature Rust codebases to improve idiomaticity and performance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jsai23/claude-tooling util-rust-quality

For use in Claude.ai and ChatGPT

Download Skill