How does it help prevent confirmation bias in coding?

By requiring the generation of three distinct theories—an obvious one, an alternative mechanism, and a systemic cause—it prevents the AI from fixating on the first plausible solution it finds.

What is the hypothesis-generator skill for Claude Code?

It is a structured debugging utility that forces Claude to investigate three different potential causes for a bug simultaneously, ensuring a more rigorous and bias-free troubleshooting process.

What is the 3-Hypothesis Protocol?

It is a requirement that every hypothesis must define a specific Cause, the Mechanism of failure, a Prediction of what should happen, and a Test to verify the theory.

When is the best time to trigger this skill?

Use it when a bug's root cause is still unclear after initial log gathering, or when you find yourself trapped in a cycle of failed fixes.

Does it require other skills to function?

Yes, it is designed to extend the 'root-cause-debugging' skill, providing a more structured investigative phase within that existing framework.

Hypothesis Driven Debugger

Name: Hypothesis Driven Debugger
Author: hjemmesidekongen

byhjemmesidekongen

0•

安全与测试

Eliminates confirmation bias during complex debugging by generating and investigating three competing root-cause hypotheses in parallel.

The Hypothesis Generator is a specialized extension for Claude Code designed to tackle elusive bugs where the root cause is unclear or previous fixes have failed. By enforcing a strict protocol of generating three distinct hypotheses—ranging from the obvious to the systemic—the skill prevents the common pitfall of confirmation bias. It guides the AI through a structured investigative phase where each theory is scored as Confirmed, Possible, or Refuted based on evidence, ensuring that code fixes are based on verified root causes rather than surface-level symptoms.

主要功能

01Seamless integration with standard root-cause-debugging workflows

02Evidence synthesis with status scoring (Confirmed, Possible, or Refuted)

03Automated generation of three distinct competing hypotheses for any bug

040 GitHub stars

05Parallel investigation framework to prevent investigative tunnel vision

06Structured investigation protocol including Cause, Mechanism, Prediction, and Test

使用场景

01Debugging complex race conditions or intermittent failures where the primary cause is non-obvious

02Systematic exploration of multiple subsystem failures to identify a single unifying root cause

03Breaking through debugging deadlocks after a previous fix attempt has failed to solve the issue

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hjemmesidekongen/ai hypothesis-generator

For use in Claude.ai and ChatGPT

主要功能

01Seamless integration with standard root-cause-debugging workflows

02Evidence synthesis with status scoring (Confirmed, Possible, or Refuted)

03Automated generation of three distinct competing hypotheses for any bug

040 GitHub stars

05Parallel investigation framework to prevent investigative tunnel vision

06Structured investigation protocol including Cause, Mechanism, Prediction, and Test

使用场景

01Debugging complex race conditions or intermittent failures where the primary cause is non-obvious

02Systematic exploration of multiple subsystem failures to identify a single unifying root cause

03Breaking through debugging deadlocks after a previous fix attempt has failed to solve the issue