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hypothesis_quality_criteria

Use these criteria to assess the quality and rigor of generated hypotheses. A robust hypothesis should score well across multiple dimensions.

  • Skills
  • Scientific
  • 1

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/hypothesis-quality-criteria && curl -fsSL https://doutorai.pt/data/lib/skills__hypothesis-quality-criteria.md -o .claude/skills/hypothesis-quality-criteria/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Hypothesis Quality Criteria

## Framework for Evaluating Scientific Hypotheses

Use these criteria to assess the quality and rigor of generated hypotheses. A robust hypothesis should score well across multiple dimensions.

**Note on Report Structure:** When generating hypothesis reports, provide a brief quality assessment summary in the main text (comparative table with ratings), and include detailed evaluation with strengths, weaknesses, and comprehensive analysis in **Appendix C: Quality Assessment**.

## Core Criteria

### 1. Testability

**Definition:** The hypothesis can be empirically 

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