data-validation
Installation
SKILL.md
Data Validation - Input Sanitisation & Schema Patterns
Validation patterns ensuring all data entering the system is validated at boundaries: user input via Zod (frontend), API requests via Pydantic (backend). No unvalidated data crosses a trust boundary.
Description
Defines Zod and Pydantic validation patterns for all data entering the system at trust boundaries. Covers form validation, API request schemas, type-safe contracts, Australian-specific validators (ABN, phone, postcode), and schema composition strategies.
When to Apply
Positive Triggers
- Creating or modifying form inputs with user data
- Defining API request/response schemas (Pydantic models)
- Adding Zod schemas for frontend validation
- Reviewing code for missing input validation
- Building new API endpoints that accept POST/PUT/PATCH data
- User mentions: "validation", "Zod", "Pydantic", "schema", "sanitise", "input"