validate

Validate emails, URLs, file paths, JSON, YAML, and code syntax.

11|1|Updated Feb 9, 2026
One-click install
npx skills add https://github.com/mindcockpit-ai/cognitive-core --skill validate-mindcockpit-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: validate
Source: https://github.com/mindcockpit-ai/cognitive-core/tree/main/skills/atomic/validate
Command: npx skills add https://github.com/mindcockpit-ai/cognitive-core --skill validate-mindcockpit-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Universal input validation across multiple formats to ensure data correctness and safety in software systems.

Core Features & Use Cases

  • Validate emails, URLs, file paths, JSON, YAML, and code syntax with clear results.
  • Provide actionable error messages and optional strict mode for stricter checks.
  • Integrate into developer workflows such as pre-commit hooks, code reviews, and data validation pipelines.

Quick Start

Validate the email [email protected].

Frequently Asked Questions about validate

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

FAQPage Schema
How do I validate JSON and YAML configuration files before deployment?

You can validate JSON and YAML configuration files by applying syntax checks and optional schema validation, which ensures data correctness and produces clear pass or fail output to catch errors before deployment.

What is the best way to check if an email, URL, or file path is valid?

The best way to validate emails, URLs, and file paths is to apply syntax checks and basic formatting rules, returning clear pass or fail results to confirm input correctness and ensure data safety.

Can I enforce stricter rules during input validation?

Yes, you can enforce stricter rules during input validation by enabling the configurable strict mode, which applies stricter checks to ensure higher data correctness and safety in software systems.

Does input validation work for pre-commit hooks and code review workflows?

Input validation works for pre-commit hooks and code review workflows by integrating syntax checks and schema validation into developer pipelines, ensuring data correctness before code changes are merged.

Why does my data validation pipeline fail on invalid code syntax?

Data validation pipelines fail on invalid code syntax because the validator applies strict syntax checks, returning actionable error messages that pinpoint exactly where the formatting or structural rules were violated.