generating-test-data

name	generating-test-data
description	Automatically generates valid, invalid, and boundary test data based on field names and validation rules. Use when the user provides field specifications and needs a comprehensive data set for testing forms, APIs, or database constraints.

Generating Test Data

When to use this skill

• When a user provides a field name (e.g., "Password", "Email", "Age") and a set of validation rules.
• When asked to generate "Valid", "Invalid", or "Boundary" test data sets.
• When preparing data for automated tests or manual regression testing.

Workflow

1. Rule Analysis:
   • Parse the provided rules for each field (min/max length, character types, patterns).
   • Identify the "Boundary" values (e.g., if max is 10, boundary values are 9, 10, and 11).
2. Data Set Construction:
   • Valid Data: Generate 3-5 strings/values that satisfy ALL rules.
   • Invalid Data: Generate values that violate exactly one rule at a time to isolate validation logic.
   • Boundary Data: Specifically target minimum and maximum limits.
3. Reporting:
   • Present the data in a clear table format categorized by data type.

Instructions

1. Parsing Validation Rules

Identify tokens like "Min", "Max", "Uppercase", "Special Character", "Numeric Only", "Regex". Example Input:

• Field: Username
• Rules: Min 5, Max 12, Alpha-numeric only

2. Generating Values

• Valid: User123, Admin88, TestPlayer
• Invalid: Abc (Too short), LongUsername1234 (Too long), User@123 (Invalid character)
• Boundary: abcde (5 chars), abcdefghijkl (12 chars), abcd (4 chars - Invalid boundary)

Output Format

Field: [Field Name]

Category	Value	Rule Tested / Reason
Valid	SafePass1!	Meets all criteria
Invalid	safepass1!	Missing uppercase
Invalid	Safe1!	Too short (5 chars)
Boundary	Abcdefg1!	Minimum length (8 chars)
Boundary	VeryLongPass123!@#	Realistic long value

Resources

• Example Rules and Data Sets
• Python Faker Script (External)