grill-research

Interrogate research claims through a four-wave workflow requiring null hypotheses and data-backed verification.

Updated Jul 2, 2026
One-click install
npx skills add https://github.com/SamyakJhaveri/loam --skill grill-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: grill-research
Source: https://github.com/SamyakJhaveri/loam/tree/main/seed/_research/skills/grill-research
Command: npx skills add https://github.com/SamyakJhaveri/loam --skill grill-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Adversarial research interrogation helps ensure research claims, experimental designs, and evaluation plans are rigorously challenged before they are executed or published.

Core Features & Use Cases

  • Four-wave interrogation (basics, clarifications, deep probes, assessment) to systematically stress-test hypotheses and methods.
  • Gatekeeping against premature conclusions by requiring explicit null hypotheses, variables, and success criteria.
  • Promotes reproducibility and transparency through explicit data-verification steps and alternative explanations.

Quick Start

Initiate grill-research interrogation for a research claim.

Frequently Asked Questions about grill-research

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

FAQPage Schema
What is adversarial research interrogation and how does it stress-test hypotheses?

You should not use adversarial interrogation when your research claim lacks explicit variables, success criteria, or data-backed numbers, as the assessment phase requires verifiable inputs to challenge hypotheses effectively.

How do I interrogate research claims using a four-wave workflow?

To interrogate research claims, articulate explicit null hypotheses, variables, and success criteria, then progress through four interrogation waves: basics, clarifications, deep probes, and assessment to ensure reproducibility.

When do I need adversarial review for research experiments?

Research interrogation is needed before executing or publishing experiments to gatekeep against premature conclusions, enforce verifiability through data-backed numbers, and require explicit alternative explanations for reproducibility.

How does adversarial review enforce reproducibility and verification?

Adversarial review enforces reproducibility by requiring data-backed numbers, explicit alternative explanations, and verifiable success criteria during the deep probes and assessment phases of the interrogation workflow.

What is the four-wave interrogation workflow for research method evaluation?

A four-wave interrogation workflow is a systematic method to stress-test research claims across basics, clarifications, deep probes, and assessment phases, ensuring data verification before evaluations begin.

When should I avoid applying adversarial interrogation to my research?

You should not use adversarial interrogation when your research claim lacks explicit variables, success criteria, or data-backed numbers, as the assessment phase requires verifiable inputs to challenge hypotheses effectively.