Skill Test Generator

Overview

This skill analyzes existing skill scripts and automatically generates comprehensive test documentation. It identifies scripts in the scripts/ directory, analyzes their functionality, and produces test cases covering both normal and exceptional scenarios.

When to Use This Skill

Use this skill when:

• A skill has scripts but lacks testing documentation
• You need to create TESTING.md for a skill
• You want to add a testing section to an existing SKILL.md
• You need test case examples for skill scripts

Workflow

Step 1: Analyze Scripts

First, identify and analyze the scripts in the target skill:

1. List all files in the skill's scripts/ directory
2. Read each script to understand its purpose and parameters
3. Identify entry points, inputs, outputs, and dependencies

Step 2: Generate Test Cases

For each script, generate test cases covering:

Normal Cases:

• Standard usage with valid inputs
• Typical parameter combinations
• Expected successful execution paths

Edge Cases:

• Empty or minimal inputs
• Boundary values (max/min lengths, sizes)
• Special characters and encoding
• Invalid file paths or missing files
• Permission issues
• Malformed arguments

Error Cases:

• Missing required parameters
• Invalid parameter types
• Non-existent input files
• Network failures (if applicable)
• Resource exhaustion scenarios

Step 3: Create Test Documentation

Generate documentation in one of two formats:

Option A: Create TESTING.md Create a standalone testing document with:

• Test case tables (ID, Description, Input, Expected Output, Command)
• Test execution instructions
• Environment setup requirements

Option B: Update SKILL.md Add a "Testing" section to the existing SKILL.md with:

• Overview of test approach
• Test case summaries
• Example commands

Step 4: Provide Test Commands

Include concrete test command examples that can be copied and executed:

# Example test commands for a hypothetical script
python scripts/process_data.py --input test_data/valid.json
python scripts/process_data.py --input test_data/empty.json  # Edge case
python scripts/process_data.py --input nonexistent.json      # Error case

Test Case Format

Use this standard format for test cases:

Resources

scripts/

• test_template.py - Template generator for creating test case documentation

Example Output