How does it handle security validation?

It performs dependency scanning using pip-audit and checks for common vulnerabilities like SQL injection, command injection, and improper sensitive data handling.

Can this skill help improve test coverage?

Yes, it integrates with coverage tools to identify untested lines of code, specifically targeting core business logic and critical paths to ensure at least 80-90% coverage.

What tools does the Validation skill use for code quality?

The skill is designed to work with industry-standard tools like Black for formatting, Mypy for type checking, and Flake8 for linting to ensure code follows best practices.

Does this skill support performance testing?

It includes specific workflows for profiling CPU and memory usage, as well as benchmarking response times against p50, p95, and p99 targets.

Feature Validation & Quality Gate

Name: Feature Validation & Quality Gate
Author: matteocervelli

bymatteocervelli

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Security & Testing

Automates comprehensive code quality, security, and performance audits to ensure production readiness before deployment.

About

The Validation skill provides a systematic quality gate for Claude Code, offering a structured framework to verify that implemented features meet all technical and functional standards. It orchestrates a multi-layered verification process including static analysis, test coverage reporting, security vulnerability scanning, and performance benchmarking. By standardizing the 'definition of done,' this skill ensures that every contribution is secure, well-documented, and performant before it reaches the pull request stage, significantly reducing technical debt and manual review time.

Key Features

Security vulnerability scanning for dependencies and input sanitization
Performance profiling and benchmarking against resource requirements
15 GitHub stars
Comprehensive test coverage analysis with configurable success thresholds
Automated code quality auditing using Black, Mypy, and Flake8
Systematic documentation and requirements fulfillment verification

Use Cases

Finalizing a feature implementation with a comprehensive quality sign-off
Benchmarking application performance to ensure compliance with SLA requirements
Identifying security gaps and untested code paths before opening a pull request

About

Key Features

Security vulnerability scanning for dependencies and input sanitization
Performance profiling and benchmarking against resource requirements
15 GitHub stars
Comprehensive test coverage analysis with configurable success thresholds
Automated code quality auditing using Black, Mypy, and Flake8
Systematic documentation and requirements fulfillment verification

Use Cases

Finalizing a feature implementation with a comprehensive quality sign-off
Benchmarking application performance to ensure compliance with SLA requirements
Identifying security gaps and untested code paths before opening a pull request