What are rationalization tables?

Rationalization tables are structured mappings of common excuses AI agents use to skip steps, paired with explicit negations and counter-rules to prevent those specific behaviors.

Why apply TDD to AI documentation and skills?

Applying TDD ensures instructions are effective by observing the agent fail without them (RED phase) and then writing the minimal rules required to ensure compliance (GREEN phase).

What is a pressure scenario in skill testing?

A pressure scenario is a test case that combines multiple constraints—such as tight deadlines, authority overrides, and high sunk costs—to see if an AI agent will break established rules in favor of speed.

When should I avoid testing a skill with this methodology?

You don't need to test pure reference skills, such as API documentation or syntax guides, where there are no specific rules or incentives for the agent to bypass the instructions.

Skill Testing with Subagents

Name: Skill Testing with Subagents
Author: LerianStudio

byLerianStudio

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Security & Testing

Validates AI skill reliability using a Red-Green-Refactor methodology and high-pressure compliance testing.

This skill provides a rigorous framework for verifying that AI agents actually follow process documentation and instructions, especially under pressure. By applying Test-Driven Development (TDD) principles to 'soft' instructions, it helps developers identify where agents are likely to rationalize shortcuts and provides tools like pressure testing and rationalization tables to close those loopholes. It is essential for anyone building discipline-enforcing skills that agents might otherwise bypass for the sake of speed or convenience.

Key Features

01Rationalization tables to identify and preemptively block AI shortcuts

0217 GitHub stars

03Red-Green-Refactor workflow specifically adapted for AI skill development

04Meta-testing framework for agent self-correction and instruction refinement

05High-pressure scenario generation using time, authority, and sunk cost constraints

06Compliance verification protocols for complex, multi-step workflows

Use Cases

01Validating documentation clarity and enforcement before deploying to production teams

02Ensuring agents strictly follow TDD or security protocols despite delivery pressure

03Bulletproofing complex engineering workflows against common AI rationalizations

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lerianstudio/ring testing-skills-with-subagents

For use in Claude.ai and ChatGPT

Download Skill