validation

Define and run named validation commands for code quality checks.

2|2|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/tamnguyentommy-rgb/Routex_AI_Web_Project --skill validation-tamnguyentommy-rgb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: validation
Source: https://github.com/tamnguyentommy-rgb/Routex_AI_Web_Project/tree/main/.local/skills/validation
Command: npx skills add https://github.com/tamnguyentommy-rgb/Routex_AI_Web_Project --skill validation-tamnguyentommy-rgb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Validation Skill enables teams to register and manage named validation commands (like lint, tests, and type checks) that act as repeatable CI-style checks to verify code quality across a project.

Core Features & Use Cases

  • Create, update, and upsert named validation commands using setValidationCommand.
  • List and review all registered validation commands with getValidationCommands.
  • Run validations in batches using startValidationRun and monitor per-command results with getValidationRun.
  • Remove or stop validations via clearValidationCommand and stopValidationRun.
  • Use consistent conventions for common stacks (lint, test, typecheck) and integrate results into project hygiene workflows.

Quick Start

Define your validation commands with setValidationCommand, then start a run with startValidationRun to execute them and review results.

Frequently Asked Questions about validation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate and run lint, test, and typecheck commands as CI-style checks?

You can automate CI-style validation checks by registering named commands like lint, test, and typecheck, then executing them in batches to monitor structured results and logs across your project lifecycle.

What is the best way to manage and monitor multiple validation commands across a project?

Managing validation commands involves defining specific checks and running them in batches, which allows you to monitor per-command structured results and logs to ensure consistent code quality across the project.

Can I update or remove existing code quality checks without restarting the entire validation run?

Yes, you can update existing checks by upserting validation commands or remove them entirely using clear functions, and you can stop active executions independently without affecting other registered checks.

How do I set up repeatable code quality gates for common development stacks?

You can establish repeatable code quality gates by registering validation commands using consistent conventions for common stacks, then integrating the structured run results directly into your project hygiene workflows.

Does this validation approach work for batch execution and monitoring of automated testing?

Yes, this approach supports batch execution of automated testing and other checks, providing functions to start validation runs and monitor per-command results with structured outputs and detailed logs.

Why use named validation commands instead of running scripts directly for code quality checks?

Named validation commands provide repeatable, CI-style enforcement by standardizing how checks are defined, executed, and monitored, ensuring structured results and consistent project hygiene compared to running ad-hoc scripts.