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Schema Consistency Checker

Listed
monkey1sai·vlatest·database

Verifies data aligns with defined schemas, flagging inconsistencies and potential errors for improved data quality.

Install on your platform

This skill no longer installs under the name schema-consistency-checker. monkey1sai/openai-cli is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

monkey1sai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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Not scanned. repository not found or private Source recorded as monkey1sai/openai-cli.
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About this skill

What it does

The schema-consistency-checker skill validates JSON data against a provided JSON schema. It identifies inconsistencies and reports them in a human-readable format, highlighting the specific errors found within the data. This ensures that the structured data conforms to expected formats and rules.

When to use it

  • Data Validation: Before processing data from external sources (APIs, files) to ensure its integrity.
  • Configuration Checks: Verify configuration files adhere to defined schema specifications.
  • API Input Sanitization: Validate user-provided input for APIs to prevent errors and security vulnerabilities.
  • Data Transformation Pipelines: Confirm that intermediate data transformations produce output conforming to the expected schema.

Key capabilities

  • JSON Schema validation
  • Error reporting with specific details
  • Human-readable error messages

Example prompts

  • "Check this JSON: [JSON data] against this schema: [JSON schema]"
  • "Validate the following data and tell me if it matches this schema: [JSON schema]"
  • "Is this JSON valid according to this schema? [JSON schema] - [JSON data]"

Tips & gotchas

The skill requires both a JSON data sample and a corresponding JSON schema as input. Ensure the schema accurately reflects the expected structure of the data for effective validation.