Does this skill work with Docker and configuration files?

Yes, it includes specific validation commands for Dockerfiles, JSON, and YAML to ensure configuration integrity before finishing a task.

What happens if a verification step fails?

The skill reports the specific failure clearly and prompts for an immediate fix, allowing the AI to correct its mistake without needing manual instruction.

Can I skip the verification process for minor changes?

Yes, the skill is programmed to automatically skip verification for documentation, comments, and whitespace changes, or when the user explicitly requests it.

How does the verification skill determine which tests to run?

It detects the file extensions of modified code and applies language-specific patterns such as pytest for Python, npm test for JavaScript, or cargo test for Rust.

Is this compatible with existing CI pipelines?

Absolutely. It is designed to act as a local pre-verification layer that uses standard CLI tools, ensuring alignment with your project's existing CI/CD standards.

Automated Code Verification

Name: Automated Code Verification
Author: TheGlitchKing

byTheGlitchKing

Seguridad y Pruebas

Automates code verification by suggesting and running context-aware tests, lints, and syntax checks after every modification.

Acerca de

The verification skill enhances the Claude Code environment by ensuring that every code change is immediately validated through language-specific best practices. It automatically identifies the appropriate verification strategy—whether it's running a simple syntax check for shell scripts, executing unit tests for TypeScript/Python, or validating configuration files like JSON and YAML. By providing a structured 'test-after-action' pattern, it helps developers maintain high code quality and prevent regressions by ensuring the AI's output remains production-ready and error-free without manual intervention.

Características Principales

Minimalist output reporting to keep the developer workflow focused and clean
Multi-language support for JavaScript, Python, Go, Rust, and Shell scripts
Integrated linting and type-checking using industry-standard tools like TSC, MyPy, and Clippy
0 GitHub stars
Context-aware verification strategies for single-file vs. multi-file edits
Automated syntax validation for configuration files including JSON and YAML

Casos de Uso

Running automated unit tests and type checks immediately after a refactoring task
Ensuring shell scripts are syntactically correct and pass ShellCheck before execution
Validating Dockerfile and configuration syntax before deployment

Acerca de

Características Principales

Minimalist output reporting to keep the developer workflow focused and clean
Multi-language support for JavaScript, Python, Go, Rust, and Shell scripts
Integrated linting and type-checking using industry-standard tools like TSC, MyPy, and Clippy
0 GitHub stars
Context-aware verification strategies for single-file vs. multi-file edits
Automated syntax validation for configuration files including JSON and YAML

Casos de Uso

Running automated unit tests and type checks immediately after a refactoring task
Ensuring shell scripts are syntactically correct and pass ShellCheck before execution
Validating Dockerfile and configuration syntax before deployment