Which programming languages does the Validator skill support?

It currently supports Node.js/TypeScript, Python, Ruby, Rust, and Go, automatically detecting the correct environment based on project files.

Does the validation stop if a single test fails?

No, the skill is designed to continue through failures to collect all possible results, ensuring you get a complete picture of your project's health.

Can it detect unused or dead code?

Yes, it includes optional dead code detection using tools like knip for JavaScript/TypeScript, Vulture for Python, and Debride for Ruby.

How does it determine which commands to run?

It scans your project's configuration files (like package.json, pyproject.toml, or Cargo.toml) to identify custom scripts and standard tooling preferences.

Project Validator

Name: Project Validator
Author: neonwatty

byneonwatty

0•

Security & Testing

Automates local code validation by detecting project types and running comprehensive linting, type checking, and test suites.

The Project Validator skill acts as an autonomous local CI/CD pipeline within Claude Code, streamlining the development process by automatically identifying project environments across major languages like TypeScript, Python, Go, and Rust. It intelligently scans configuration files to execute the most appropriate validation commands—including linting, type checking, unit testing, and dead code detection—and compiles the results into a clear, actionable markdown report. This tool is essential for developers looking to maintain high code quality and catch errors before pushing to remote repositories, providing a consistent and thorough verification process without manual command entry.

Key Features

010 GitHub stars

02Automatic language and framework detection for Node.js, Python, Ruby, Rust, and Go.

03Sequential execution of linting, type checking, and test suites with intelligent tool fallback.

04Aggregated reporting that summarizes errors, warnings, and test results in a unified view.

05Dead code detection to identify unused exports and maintain lean codebases.

06Fault-tolerant execution that continues through command failures to collect complete diagnostics.

Use Cases

01Running a full suite of checks before submitting a pull request to ensure high code quality.

02Quickly diagnosing errors and linting issues across diverse multi-language projects.

03Standardizing the local validation process for teams using different development environments.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add neonwatty/claude-skills validator

For use in Claude.ai and ChatGPT

Download Skill