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.