validation

Validate external inputs across API endpoints, forms, and ingestion pipelines.

2|1|Updated Jan 23, 2026
One-click install
npx skills add https://github.com/mpadmaraj/sample-agentic --skill validation-mpadmaraj
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: validation
Source: https://github.com/mpadmaraj/sample-agentic/tree/main/.claude/skills/validation
Command: npx skills add https://github.com/mpadmaraj/sample-agentic --skill validation-mpadmaraj

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Validates external inputs to prevent invalid data from reaching business logic, reducing security risks and runtime errors.

Core Features & Use Cases

  • Define and enforce input constraints for common data shapes (strings, numbers, dates, payload schemas)
  • Fail-fast validation with clear, actionable error messages for API clients and UI
  • Use Case: sanitize and verify API requests, form submissions, and event payloads before processing

Quick Start

Validate a sample payload against the defined validation rules to see immediate results.

Frequently Asked Questions about validation

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

FAQPage Schema
How do I validate external API requests before processing business logic?

You validate external API requests by defining and enforcing input constraints for common payload schemas, ensuring invalid data fails fast with clear error messages before reaching your business logic.

Why does input validation fail-fast matter for data ingestion pipelines?

Input validation fail-fast matters for data ingestion pipelines because it prevents invalid data from causing runtime errors downstream, reducing security risks by immediately rejecting malformed event payloads with actionable errors.

What's the best way to enforce input constraints on user form submissions?

The best way to enforce input constraints on user form submissions is applying fail-fast validation rules that check data shapes like strings, numbers, and dates, returning clear errors to the UI immediately.

Can I use this to verify event payload schemas for data consistency?

Yes, you can verify event payload schemas for data consistency by defining validation rules that sanitize and check incoming data shapes against your constraints, ensuring only valid payloads proceed to processing.

What data shapes can I validate using these input constraints?

You can validate common data shapes including strings, numbers, dates, and payload schemas, applying defined input constraints to ensure data integrity and prevent invalid data from reaching business logic.