Does it support nested object validation?

Yes, the validation process is recursive, ensuring that all nested objects and arrays within your JSON structure comply with the schema definitions.

When should I activate this skill?

You should use this skill whenever you are updating CLI commands, modifying JSON output formats, or performing routine contract validation for your software's API.

Can it be used with Python projects?

Yes, the skill includes specific implementation patterns for using the Python jsonschema library to programmatically validate CLI outputs against JSON schema files.

What does the Schema Validator skill do?

It helps Claude validate that your CLI tool's JSON output matches your defined JSON schemas, ensuring data consistency and contract compliance across your application.

How does it handle schema discrepancies?

It identifies mismatches in fields, types, or descriptions and suggests whether to update the schema to match the current implementation or fix the code to adhere to the schema contract.

Schema Validator

Name: Schema Validator
Author: danielnaab

bydanielnaab

•

セキュリティとテスト

Validates and synchronizes JSON schemas with CLI implementations to ensure robust contract compliance and output accuracy.

概要

The Schema Validator skill empowers Claude to maintain strict alignment between JSON schemas and the actual output of command-line tools. By identifying discrepancies in required fields, data types, and nested structures, it helps developers ensure their software adheres to defined data contracts. It provides a structured workflow for testing CLI outputs against schemas, recommending fixes for either the schema or the implementation, and following industry best practices for schema evolution, documentation, and backward compatibility.

主な機能

Automated test generation using Python's jsonschema library
Comprehensive field validation including types, required status, and nested structures
Automatic synchronization between JSON schemas and CLI command outputs
Strategic guidance on schema evolution and managing breaking changes
Standardized quality checklists for end-to-end output verification
1 GitHub stars

ユースケース

Verifying that CLI tool JSON outputs match published schema definitions
Updating documentation schemas when new features are added to a command-line interface
Debugging contract mismatches between service layers and their serialized data schemas

概要

主な機能

Automated test generation using Python's jsonschema library
Comprehensive field validation including types, required status, and nested structures
Automatic synchronization between JSON schemas and CLI command outputs
Strategic guidance on schema evolution and managing breaking changes
Standardized quality checklists for end-to-end output verification
1 GitHub stars

ユースケース

Verifying that CLI tool JSON outputs match published schema definitions
Updating documentation schemas when new features are added to a command-line interface
Debugging contract mismatches between service layers and their serialized data schemas