smith-validation

Performs hypothesis testing and root cause analysis to debug software systems.

1|Updated Nov 25, 2025
One-click install
npx skills add https://github.com/tianjianjiang/smith --skill smith-validation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: smith-validation
Source: https://github.com/tianjianjiang/smith/tree/main/smith-validation
Command: npx skills add https://github.com/tianjianjiang/smith --skill smith-validation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Hypothesis testing, root cause analysis, and verification patterns to debug complex failures and prove correctness in software systems.

Core Features & Use Cases

  • Structured hypothesis testing: design and execute experiments that actively falsify competing explanations.
  • Systematic root-cause analysis: apply 5 Whys, SBFL, and diagnostic workflows to isolate issues.
  • Verification & validation: formalize evidence and validate fixes before deployment.

Quick Start

Initiate a guided debugging session to hypothesize, test, and confirm root causes.

Frequently Asked Questions about smith-validation

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

FAQPage Schema
How does systematic root cause analysis help isolate complex software failures?

Systematic root cause analysis applies 5 Whys and diagnostic workflows to isolate complex software failures. It designs structured experiments to actively falsify competing explanations, confirming the true origin rather than patching symptoms.

How do I verify and validate bug fixes before deployment?

To verify and validate bug fixes before deployment, formalize evidence from test results and logs to prove correctness. This structured validation process ensures the fix resolves the failure without introducing regressions across the development pipeline.

What is hypothesis testing in debugging and when do I need it?

Hypothesis testing in debugging is the process of designing and executing experiments to actively falsify competing explanations for a failure. You need it during bug reports and test failures when the root cause is unclear and requires structured isolation.

What inputs do I need to start a structured debugging session?

To start a structured debugging session, you need access to actionable hypotheses, test results, and logs. These inputs allow the systematic debugging framework to execute structured experiments and verify correctness across software systems.

Does systematic debugging work with development pipelines and test failures?

Yes, systematic debugging works with development pipelines and test failures. It applies verification patterns to validate fixes across software systems, relying on diagnostic workflows and evidence formalization to prove correctness before deployment.

What is the best way to debug complex software failures when the root cause is unclear?

The best way to debug complex software failures with unclear root causes is applying systematic root-cause analysis. This involves structured hypothesis testing to falsify competing explanations and isolating the true issue using diagnostic workflows like 5 Whys and SBFL.