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data-validation

Validate data structures and API payloads against JSON Schema, Zod, and Pydantic schemas.

1|1|Updated Feb 3, 2026
Search Tags:#schema#Zod#data#Pydantic#validate#API validation#JSON Schema
One-click install
npx skills add https://github.com/gitgoodordietrying/moltbook-app --skill data-validation-gitgoodordietrying
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-validation
Source: https://github.com/gitgoodordietrying/moltbook-app/tree/main/skills/data-validation
Command: npx skills add https://github.com/gitgoodordietrying/moltbook-app --skill data-validation-gitgoodordietrying

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data validation across formats and languages ensures API payload integrity, data contracts, and reliable data-driven decisions across services and systems.

Core Features & Use Cases

  • JSON Schema validation for API bodies and data imports
  • Zod (TypeScript) and Pydantic (Python) schemas for multi-language validation
  • API boundary validation, data contracts, and data integrity checks on CSV/JSON data

Quick Start

Validate a sample payload against a schema to ensure required fields and correct types. For example, run a validator on data.json using a JSON Schema or a language-specific schema library.

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 against JSON Schema?▼

Validate API payloads against JSON Schema by applying schema definitions to incoming data to ensure required fields and correct types. This enforces API boundary validation and maintains payload integrity for data contracts.

Can I use both Zod and Pydantic schemas for multi-language data validation?▼

Yes, you can use Zod for TypeScript and Pydantic for Python schemas to perform multi-language data validation. This ensures data contract adherence and structural integrity across diverse services and systems.

What is the best way to enforce data contracts during data ingestion?▼

Enforce data contracts during data ingestion by applying validation rules to incoming CSV and JSON data. This ensures structural integrity, type coercion adherence, and reliable data-driven decisions across formats.

Does this handle CSV integrity checks and type coercion for data imports?▼

Yes, it handles CSV integrity checks and applies type coercion rules for data imports. This ensures imported data conforms to defined schemas and maintains strict data contract adherence across formats.

When do I need schema validation for API boundaries?▼

You need schema validation for API boundaries when processing data imports or exchanging payloads across services. It enforces data contracts, verifies required fields, and ensures correct types before data ingestion.

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