Validation Testing

What it does

The validation-testing skill allows AI agents to verify data and code against predefined rules or criteria. It can check for correctness, completeness, and adherence to specific standards. This includes confirming that data falls within expected ranges, validating the format of strings, and ensuring code compiles without errors.

When to use it

• Data Entry Validation: Ensure user-provided information in forms is accurate before saving to a database.
• Code Quality Checks: Automatically verify code snippets against coding style guides or best practices.
• Configuration File Verification: Validate the syntax and content of configuration files to prevent errors during deployment.
• API Response Validation: Confirm that API responses match expected schemas and data types.

Key capabilities

• Data type validation
• Format checking (e.g., email addresses, dates)
• Range verification
• Code compilation checks
• Schema validation

Example prompts

• "Validate this JSON against the provided schema."
• "Check if this code compiles and runs without errors."
• "Verify that this data entry is complete and accurate based on these rules."

Tips & gotchas

The skill requires a clear definition of the validation criteria, either as a schema or a set of rules. Providing ambiguous or incomplete instructions may lead to inaccurate results.