testing-skills-with-subagents

Apply RED-GREEN-REFACTOR cycles to skill documentation via subagent test harnesses.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/chriscarterux/chris-claude-stack --skill testing-skills-with-subagents-chriscarterux
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: testing-skills-with-subagents
Source: https://github.com/chriscarterux/chris-claude-stack/tree/main/skills/testing-skills-with-subagents
Command: npx skills add https://github.com/chriscarterux/chris-claude-stack --skill testing-skills-with-subagents-chriscarterux

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the guesswork in creating effective AI skills by applying proven Test-Driven Development principles to ensure your skills actually work under real-world pressure.

Core Features & Use Cases

  • RED-GREEN-REFACTOR Cycle: Systematically test skills by watching agents fail without them, then iteratively improving.
  • Pressure Testing: Create realistic scenarios with time constraints, sunk costs, and authority pressure to validate compliance.
  • Use Case: When creating a code review skill, use this methodology to ensure agents actually follow review guidelines when pressured to skip them for speed.

Quick Start

Test your new skill by creating a pressure scenario combining time constraints, sunk costs, and authority pressure, then run it without the skill to document exact failures before writing the actual skill content.

Frequently Asked Questions about testing-skills-with-subagents

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

FAQPage Schema
How do I test AI skills to ensure they actually work under pressure?▼

Apply RED-GREEN-REFACTOR testing by first running baseline tests without your skill to capture exact failures, then iteratively implement minimal updates and validate through test cycles. This TDD methodology reveals whether your skill maintains discipline when agents face time constraints, sunk costs, or authority pressure.

What is the RED-GREEN-REFACTOR cycle for skill development?▼

RED-GREEN-REFACTOR is a testing pattern: RED watches your skill fail without implementation, GREEN adds minimal code to pass, REFACTOR improves while maintaining test success. For skills, this means documenting agent failures under pressure, building the skill constraint, then refining to close loopholes.

How do I create pressure scenarios to validate my AI skill?▼

Combine time constraints, sunk costs, and authority pressure into realistic test cases. Run these without your skill to observe baseline rationalizations agents use to rationalize skipping compliance, then implement your skill and validate it prevents those shortcuts through subagent test harness execution.

Can I use this methodology for skills that enforce compliance requirements?▼

Yes. This methodology targets skills designed to enforce discipline and prevent rationalization under pressure. It's particularly effective for compliance-heavy skills like code review, security checks, or approval gates where agents might skip steps when rushed.

What do I document when testing my skill without it implemented?▼

Record verbatim rationalizations—the exact reasoning agents use to justify circumventing your skill's requirements. These become your RED test cases that your implementation must prevent, ensuring the skill closes specific loopholes rather than addressing vague concerns.

Do I need a subagent to validate my skill under test cycles?▼

Yes. The Skill uses a subagent test harness to enforce RED-GREEN-REFACTOR cycles, generating 3+ pressure scenarios and validating your skill implementation against them. This automated validation ensures your skill performs consistently across realistic stress conditions.