data-validation
✓Data validation patterns including schema validation, input sanitization, output encoding, and type coercion. Use when implementing validate, validation, schema, form validation, API validation, JSON Schema, Zod, Pydantic, Joi, Yup, sanitize, sanitization, XSS prevention, injection prevention, escape, encode, whitelist, constraint checking, invariant validation, data pipeline validation, ML feature validation, or custom validators.
Installation
SKILL.md
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.
| senior-software-engineer (Opus) | Schema architecture, validation strategy design, complex validation patterns | | software-engineer (Sonnet) | Implements validation logic, integrates schema libraries, writes validators | | senior-software-engineer (Opus) | XSS prevention, injection prevention, sanitization strategies, encoding |
| senior-software-engineer (Opus) | Infrastructure config validation, pipeline validation, data quality checks |
Data validation patterns including schema validation, input sanitization, output encoding, and type coercion. Use when implementing validate, validation, schema, form validation, API validation, JSON Schema, Zod, Pydantic, Joi, Yup, sanitize, sanitization, XSS prevention, injection prevention, escape, encode, whitelist, constraint checking, invariant validation, data pipeline validation, ML feature validation, or custom validators. Source: cosmix/claude-loom.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/cosmix/claude-loom --skill data-validation- Source
- cosmix/claude-loom
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is data-validation?
Data validation patterns including schema validation, input sanitization, output encoding, and type coercion. Use when implementing validate, validation, schema, form validation, API validation, JSON Schema, Zod, Pydantic, Joi, Yup, sanitize, sanitization, XSS prevention, injection prevention, escape, encode, whitelist, constraint checking, invariant validation, data pipeline validation, ML feature validation, or custom validators. Source: cosmix/claude-loom.
How do I install data-validation?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/cosmix/claude-loom --skill data-validation Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/cosmix/claude-loom
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01