One-click install
npx skills add https://github.com/Wondermonger-daydreaming/claude-skills-library --skill counter-experiment
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: counter-experiment
Source: https://github.com/Wondermonger-daydreaming/claude-skills-library/tree/main/skills/counter-experiment
Command: npx skills add https://github.com/Wondermonger-daydreaming/claude-skills-library --skill counter-experiment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Design the experiments that would break or confirm a claim. Not critique (what's wrong) but generative opposition (what would you need to see). Given any empirical claim, hypothesis, or finding, generate 3-5 specific, feasible experiments that would distinguish between the proposed interpretation and simpler alternatives. Triggers on: 'what experiment would test this,' 'how would you break this,' 'design the falsification,' 'counter-experiment,' 'what would Reviewer 2 want to see,' 'what control is missing,' 'the experiment they didn't run,' or any moment when a claim needs empirical testing rather than rhetorical critique. Also triggers when a paper's interpretation could be distinguished from a simpler alternative by a specific experimental design.

Core Features & Use Cases

  • Step-by-step protocol from claim to counter-experiments, including hypothesis definition, experimental design, and discriminating outcomes.
  • Ranking and naming of proposed experiments by information gain and feasibility.
  • Output formats that help authors and reviewers understand exactly what to run and what to look for.

Quick Start

Provide a falsifiable claim and a simple alternative; the skill will generate 3-5 discriminating counter-experiments with annotated design and predictions.

Frequently Asked Questions about counter-experiment

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

FAQPage Schema
How do I design experiments to falsify a research claim?

Falsification design generates 3-5 actionable, discriminating experiments to test any empirical claim by specifying hypotheses, experimental designs, and outcomes that distinguish the claim from simpler alternatives.

What is a counter-experiment in experimental design?

A counter-experiment in experimental design is a generative opposition test that produces specific experimental setups to break or confirm a claim, rather than offering rhetorical critique about what is wrong with the original finding.

How do I generate control experiments for missing variables in a manuscript?

Generating control experiments for missing variables involves stating the claim, defining a simpler alternative hypothesis, and producing a structured output that ranks proposed experiments by information gain and feasibility to identify what Reviewer 2 would want to see.

Can I use this to test hypotheses from conference posters?

Yes, you can use this falsification design protocol to test hypotheses from conference posters, research papers, or manuscripts by providing a falsifiable claim and a simple alternative to generate experiments with annotated designs and predictions.

What is the best way to rank proposed experiments by informativeness?

The best way to rank proposed experiments by informativeness is to evaluate them based on information gain and feasibility, producing a structured output that includes an experiment name, discriminating outcomes, and design specifications.