
json-schema-validator
Validate JSON data against JSON Schema specifications. Use for API validation, config file validation, or data quality checks.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill json-schema-validator- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads json-schema-validator automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
JSON Schema Validator
Validate JSON documents against JSON Schema (Draft 7) specifications.
Features
- Schema Validation: Validate JSON against schema
- Error Details: Detailed validation error messages
- Batch Validation: Validate multiple files
- Schema Generation: Generate schema from examples
- Multiple Drafts: Support for Draft 4, 6, 7
Quick Start
from json_validator import JSONValidator
validator = JSONValidator()
# Validate data against schema
schema = {
"type": "object",
"properties": {
"name": {"type": "string"},
"age": {"type": "integer", "minimum": 0}
},
"required": ["name"]
}
data = {"name": "John", "age": 30}
result = validator.validate(data, schema)
print(f"Valid: {result['valid']}")
CLI Usage
# Validate JSON file against schema
python json_validator.py --data user.json --schema user_schema.json
# Validate with inline schema
python json_validator.py --data config.json --schema '{"type": "object"}'
# Generate schema from sample
python json_validator.py --generate sample.json --output schema.json
# Batch validate directory
python json_validator.py --data-dir ./configs/ --schema config_schema.json
API Reference
JSONValidator Class
class JSONValidator:
def __init__(self, draft: str = "draft7")
# Validation
def validate(self, data: dict, schema: dict) -> dict
def validate_file(self, data_path: str, schema_path: str) -> dict
def validate_batch(self, data_files: list, schema: dict) -> list
# Schema operations
def generate_schema(self, data: dict) -> dict
def check_schema(self, schema: dict) -> dict
Validation Result
{
"valid": True, # or False
"errors": [], # List of error details
"path": "$", # JSON path to data root
}
# With errors:
{
"valid": False,
"errors": [
{
"message": "'name' is a required property",
"path": "$",
"schema_path": "required"
},
{
"message": "-5 is less than minimum 0",
"path": "$.age",
"schema_path": "properties.age.minimum"
}
]
}
Schema Examples
Object Schema
schema = {
"type": "object",
"properties": {
"id": {"type": "integer"},
"name": {"type": "string", "minLength": 1},
"email": {"type": "string", "format": "email"},
"active": {"type": "boolean", "default": True}
},
"required": ["id", "name", "email"],
"additionalProperties": False
}
Array Schema
schema = {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {"type": "integer"},
"value": {"type": "number"}
}
},
"minItems": 1,
"uniqueItems": True
}
Nested Schema
schema = {
"type": "object",
"properties": {
"user": {
"type": "object",
"properties": {
"name": {"type": "string"},
"address": {
"type": "object",
"properties": {
"street": {"type": "string"},
"city": {"type": "string"}
}
}
}
}
}
}
Generate Schema from Data
validator = JSONValidator()
sample_data = {
"name": "Product A",
"price": 29.99,
"tags": ["electronics", "sale"],
"inStock": True
}
schema = validator.generate_schema(sample_data)
# Returns inferred schema based on data types
Supported Keywords
Type Validation
type: string, number, integer, boolean, array, object, nullenum: allowed valuesconst: exact value
String Validation
minLength,maxLengthpattern: regex patternformat: email, uri, date, date-time, ipv4, ipv6, uuid
Number Validation
minimum,maximumexclusiveMinimum,exclusiveMaximummultipleOf
Array Validation
items: schema for itemsminItems,maxItemsuniqueItemscontains
Object Validation
properties: property schemasrequired: required propertiesadditionalPropertiesminProperties,maxPropertiespatternProperties
Error Handling
result = validator.validate(data, schema)
if not result['valid']:
for error in result['errors']:
print(f"Error at {error['path']}: {error['message']}")
Dependencies
- jsonschema>=4.20.0
FAQ
What does the json-schema-validator skill do?
Validate JSON data against JSON Schema specifications. Use for API validation, config file validation, or data quality checks.
How do I install json-schema-validator?
Run npx skills add https://github.com/dkyazzentwatwa/chatgpt-skills --skill json-schema-validator in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/json-schema-validator/ (personal) or .claude/skills/json-schema-validator/ (project).
Which AI agents can use json-schema-validator?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is json-schema-validator safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains json-schema-validator?
It is published by dkyazzentwatwa in dkyazzentwatwa/chatgpt-skills. It has 81 recorded installs.
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