marsai:testing-agents-with-subagents

Run RED-GREEN-REFACTOR testing cycles on subagent definitions.

2|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/V4-Company/marsai --skill marsai-testing-agents-with-subagents
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: marsai:testing-agents-with-subagents
Source: https://github.com/V4-Company/marsai/tree/main/default/skills/testing-agents-with-subagents
Command: npx skills add https://github.com/V4-Company/marsai --skill marsai-testing-agents-with-subagents

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a structured methodology for validating agent definitions by executing a disciplined RED-GREEN-REFACTOR testing cycle on subagents to ensure reliable, predictable results.

Core Features & Use Cases

  • TDD for agents: apply RED-GREEN-REFACTOR to agent definitions to catch failures early.
  • Subagent orchestration testing: verify coordination, output schemas, and edge-case handling among agents.
  • Quality metrics & reproducibility: enforce documented test inputs, re-test after changes, and track metrics like accuracy and consistency.

Quick Start

Run the RED-GREEN-REFACTOR cycle against your agent with a documented test suite to validate behavior across typical and edge cases.

Frequently Asked Questions about marsai:testing-agents-with-subagents

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

FAQPage Schema
How do I test AI agents that orchestrate subagents for predictable behavior?

To test AI agents that orchestrate subagents, apply a structured RED-GREEN-REFACTOR testing cycle to validate coordination, output schemas, and edge-case handling, ensuring reliable and predictable results across diverse inputs.

What is the RED-GREEN-REFACTOR cycle for testing AI workflows?

The RED-GREEN-REFACTOR cycle for AI workflows is a structured testing methodology that validates agent definitions by writing failing tests, making them pass, and refining prompts to catch failures early and ensure deterministic results.

How do I ensure deterministic results when changing prompts in subagent architectures?

To ensure deterministic results after prompt changes, enforce documented test inputs and re-run your structured test suite against the subagents to verify that accuracy and consistency metrics are maintained.

Can I apply TDD methodology to validate agent definitions and output schemas?

Yes, you can apply TDD to agent definitions by running a structured RED-GREEN-REFACTOR cycle that verifies subagent orchestration, validates structured outputs, and tracks quality metrics like accuracy and consistency.

What quality metrics should I track when testing subagent orchestration?

When testing subagent orchestration, track accuracy and consistency metrics by enforcing documented test inputs and re-running tests after any prompt changes to maintain reliable agent behavior across typical and edge cases.