testing-agents-with-subagents

Run AI agents with test inputs to validate structured outputs.

205|26|Updated Oct 30, 2025

Search Tags:#testing #quality assurance #TDD #agents #RED-GREEN-REFACTOR

Ready to run

npx skills add https://github.com/LerianStudio/ring --skill testing-agents-with-subagents

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: testing-agents-with-subagents
Source: https://github.com/LerianStudio/ring/tree/main/default/skills/testing-agents-with-subagents
Command: npx skills add https://github.com/LerianStudio/ring --skill testing-agents-with-subagents

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Agent testing methodology applies TDD to AI worker definitions, ensuring outputs are accurate and well-structured before deployment.

Core Features & Use Cases

RED-GREEN-REFACTOR testing cycles for agents
Standardized test formats and verification
Edge cases, ambiguous inputs, and severity calibration

Quick Start

Run the agent tests with the provided test suite before deployment.

Frequently Asked Questions about testing-agents-with-subagents

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

FAQPage Schema

How do I test AI agents before deploying them?▼

Testing agents involves running them with structured test inputs and validating their outputs against expected results and schemas. This ensures accuracy and consistent formatting before deployment, catching issues early in the development cycle.

What is the RED-GREEN-REFACTOR cycle for agent testing?▼

RED-GREEN-REFACTOR is a test-driven development approach where you define failing tests (RED), implement agent logic to pass them (GREEN), then refactor for quality. Applied to agents, it validates outputs meet specifications and handles edge cases systematically.

How do I validate agent outputs against a schema?▼

Agent testing enforces structured outputs by running tests that check both output accuracy and compliance with defined schemas. This ensures agents produce well-formatted, predictable results suitable for downstream systems.

What edge cases should I test in my agents?▼

Edge-case testing covers ambiguous inputs, boundary conditions, and severity calibration to verify agents behave correctly under stress. Testing these scenarios prevents unexpected failures and ensures robust, repeatable verification across varied inputs.

Can I test agents after modifying them?▼

Yes. Running agent tests after edits ensures changes don't break existing functionality or output structure. This validation confirms that modifications maintain accuracy and schema compliance before redeploying.

What's the best way to standardize agent test formats?▼

Standardized test formats define consistent input-output pairs, expected schemas, and verification criteria across all agent tests. This approach enables repeatable testing, easier maintenance, and clear pass/fail criteria aligned with agent specifications.