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data-validation

Validate API payloads and UI inputs with Pydantic and Zod schemas.

Updated Jan 10, 2026
Search Tags:#frontend#pydantic#validation#backend#sanitization#zod#data-validation
One-click install
npx skills add https://github.com/Awais68/h2_phase_3_Chatbot_Todo --skill data-validation-awais68
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-validation
Source: https://github.com/Awais68/h2_phase_3_Chatbot_Todo/tree/main/.claude/skills/data-validation
Command: npx skills add https://github.com/Awais68/h2_phase_3_Chatbot_Todo --skill data-validation-awais68

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill ensures that every API payload, form input, and database write is validated, preventing bad data from leaking into systems and workflows.

Core Features & Use Cases

  • Unified validation for Python backends (Pydantic) and TypeScript frontends (Zod) with type-safe schemas.
  • Sanitization including input cleaning to mitigate injection and XSS risks.
  • Practical use cases: API payload validation, form input validation, and data integrity checks across services.

Quick Start

Install Python and Node.js environments, then add core libraries:

  • Python: install pydantic (pip install pydantic) for backend models.
  • Node.js: install zod (npm install zod) for frontend schemas. Use the provided examples to validate a sample payload in both environments and integrate sanitization into your data flow.

Frequently Asked Questions about data-validation

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

FAQPage Schema
How do I validate API payloads in both Python and TypeScript?▼

Data validation requires both Python and Node.js environments to run Pydantic for backend models and Zod for frontend schemas. You need to install both libraries via pip and npm before integrating validation into your data flow.

Why does input sanitization matter for form validation?▼

Input sanitization matters because it cleans incoming data to mitigate injection and XSS risks. It prevents bad data from leaking into your database writes and workflows during the validation process.

What's the best way to enforce type safety across frontend and backend validation?▼

Yes, the validation schemas are designed to be integrated into existing codebases. You can add Pydantic and Zod libraries to your current Python and TypeScript projects to enforce field constraints without a full rewrite.

Does data validation work with existing codebases or do I need a new project?▼

Data validation works with existing codebases by integrating Pydantic and Zod schemas into your current Python and TypeScript projects. You can add the libraries via pip and npm to start validating payloads and forms immediately.

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