Data Validation

Overview

Data validation ensures that input data meets expected formats, types, and constraints before processing. This skill covers schema validation libraries, input sanitization, output encoding, type coercion strategies, security-focused validation (XSS, injection prevention), data pipeline validation, and comprehensive error handling.

Trigger Keywords

Use this skill when working with:

• Schema validation: JSON Schema, Zod, Pydantic, Joi, Yup, Ajv, class-validator
• Input processing: validate, validation, sanitize, sanitization, input validation, form validation
• Security validation: XSS prevention, injection prevention, escape, encode, whitelist, blacklist
• Constraints: constraint checking, invariant validation, business rules, data quality
• API validation: request validation, response validation, API contracts
• Data pipelines: Great Expectations, dbt tests, data quality checks
• ML/AI: feature validation, distribution checks, data drift detection

Agent Assignments