data-validation

Data Validation Skill

Description

Validate data against specified rules. This skill provides a flexible validation framework supporting common validation patterns like email format, required fields, and custom rules.

Dependencies

None

Parameters

Parameter	Type	Required	Default	Description
data	Map<String, Any>	Yes	-	The data to validate
rules	List	Yes	-	List of validation rules to apply

Return Value

Returns a SkillResult with the following data structure on success:

{
  "validationResults": {
    "rule1": true,
    "rule2": true
  }
}

On failure, returns:

{
  "validationResults": {
    "rule1": true,
    "rule2": false
  },
  "errors": ["error message 1", "error message 2"]
}

Supported Validation Rules

Rule	Description	Example
email	Validates email format	"[email protected]"
required	Checks all fields are non-null and non-blank	All values must be present

Usage Examples

Email Validation

val result = registry.execute(
    skillId = "data-validation",
    context = context,
    params = mapOf(
        "data" to mapOf("email" to "[email protected]"),
        "rules" to listOf("email")
    )
)

Multiple Rules Validation

val result = registry.execute(
    skillId = "data-validation",
    context = context,
    params = mapOf(
        "data" to mapOf(
            "email" to "[email protected]",
            "name" to "John Doe",
            "age" to "25"
        ),
        "rules" to listOf("email", "required")
    )
)

Error Handling

The skill returns a failure result in the following cases:

• Missing required parameter data
• Missing required parameter rules
• Unknown validation rule specified
• Validation rule fails for the provided data

Implementation Notes

• Rules are applied in the order specified in the rules list
• All rules are executed even if some fail (to provide complete feedback)
• Custom validation rules can be added by extending the skill
• Validation is performed synchronously
• Thread-safe execution