prompt-testing

Generate automated test scaffolding and validate AI skills with natural language prompts.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/tokyo-megacorp/autoimprove --skill prompt-testing-tokyo-megacorp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-testing
Source: https://github.com/tokyo-megacorp/autoimprove/tree/main/skills/prompt-testing
Command: npx skills add https://github.com/tokyo-megacorp/autoimprove --skill prompt-testing-tokyo-megacorp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of creating and validating tests for AI skills and agents, reducing manual effort and increasing confidence in command accuracy.

Core Features & Use Cases

  • Test scaffolding: Automatically generates test files with placeholder assertions based on skill or agent documentation.
  • Behavior verification: Extracts key behavioral claims and replaces placeholders with natural language prompts and structured assertions.
  • Use Case: Quickly produce comprehensive test suites for new skills to ensure they trigger correctly and produce valid outputs before deployment.

Quick Start

Use the prompt-testing skill to generate test cases for your new plugin component by specifying its name, then fill in behavioral claims and run assertions.

Frequently Asked Questions about prompt-testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate prompt validation and testing for AI agents?

Automate prompt validation by generating test scaffolding with placeholder assertions, then replacing them with natural language prompts to verify behavioral correctness and trigger accuracy. This streamlines agent testing during development.

What is the best way to create test suites for AI skills before deployment?

The best way to create test suites for AI skills is using automated test scaffolding, which extracts behavioral claims from documentation and converts them into structured assertions to verify output integrity before deployment.

Can I use natural language prompts to verify AI agent behavior without writing code?

Yes, you can verify AI agent behavior using natural language prompts. The testing process requires no code fences in inputs, allowing you to validate trigger accuracy and output integrity through natural language assertions.

Does automated agent testing support behavioral verification during the integration phase?

Automated agent testing supports behavioral verification during the integration phase by validating command accuracy and output integrity. It quickly checks whether new skills trigger correctly and produce valid outputs before final deployment.

Why does my AI skill trigger incorrectly during prompt testing?

An AI skill might trigger incorrectly during prompt testing if behavioral claims are not accurately defined. Replacing placeholder assertions with precise natural language prompts ensures the extracted behavioral logic aligns with expected trigger conditions.