Json Schema Toolkit

Validate JSON data against JSON Schema, generate schemas from sample JSON, and convert schemas to TypeScript interfaces, Python dataclasses, or Markdown docs...

Security Scan

The skill's code, instructions, and requirements are consistent with its stated purpose (JSON Schema generation, validation, and conversion) and it does not request unrelated credentials or installs.

Purpose & Capability

Name/description match the included script and SKILL.md: the Python script implements schema generation, validation, and conversion to TypeScript/Python/Markdown, which is exactly what the skill advertises. No unexpected dependencies or credentials are requested.

Instruction Scope

SKILL.md tells the agent to run the included scripts/json_schema.py with explicit commands and supports stdin; it does not instruct the agent to read unrelated files, environment variables, or send data to external endpoints. The runtime instructions are narrowly scoped to the described tasks.

Install Mechanism

No install spec; this is an instruction-only skill that bundles a Python script. The script uses only Python standard-library modules (re, json, argparse, dataclasses, typing, etc.) and there are no downloads or external installers referenced.

Credentials

The skill declares no required environment variables, credentials, or config paths. The code shown does not attempt to access secrets or remote services; its I/O is local file/stdin/stdout-based and proportional to its purpose.

Persistence & Privilege

always is false and the skill does not request elevated or persistent platform privileges. There are no instructions to modify other skills or global agent settings.

Assessment

This skill appears coherent and self-contained, but as with any code you run: (1) review the full scripts/json_schema.py source before executing, (2) run it in a sandboxed environment or isolated virtualenv if you will process sensitive data, and (3) if you plan to use it in automated/long-running agents, monitor network activity and subprocess usage to ensure no unexpected behavior appears (the shipped code shows no network calls in the visible portion). If you want extra assurance, run a static scan on the complete file to confirm there are no hidden I/O or external calls in the truncated portion.

Validate, generate, and convert JSON Schemas with zero dependencies.

Commands

All commands use scripts/json_schema.py.

Generate Schema from Sample Data

python3 scripts/json_schema.py generate --input sample.json
python3 scripts/json_schema.py generate --input sample.json --output schema.json
echo '{"name":"Jo","age":25}' | python3 scripts/json_schema.py generate --input -

Auto-detects string formats (email, date-time, date, uri, ipv4).

Validate JSON Against Schema

python3 scripts/json_schema.py validate --schema schema.json --data data.json

Reports all validation errors with JSON paths. Exit code 1 on failure.

Convert Schema to Code

python3 scripts/json_schema.py convert --input schema.json --format typescript
python3 scripts/json_schema.py convert --input schema.json --format python-dataclass
python3 scripts/json_schema.py convert --input schema.json --format markdown --name User

Supported formats: typescript, python-dataclass, markdown.

Supported Validation Keywords

type, enum, required, properties, additionalProperties, items, minLength, maxLength, pattern, minimum, maximum, minItems, maxItems, format.

Stdin Support

Use --input - to pipe JSON from stdin for both generate and validate --data.