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Skill

/evaluate-falsifiability

Determine what observation would falsify a hypothesis and flag unfalsifiable formulations.

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de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-falsifiability --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/evaluate-falsifiability

Context preview

The summary Claude sees to decide when to auto-load this skill.

Determine what observation would falsify a hypothesis and flag unfalsifiable formulations.

SKILL.md

evaluate-falsifiability.SKILL.md
name: evaluate-falsifiability
description: "Determine what observation would falsify a hypothesis and flag unfalsifiable formulations."

evaluate-falsifiability

Purpose

Evaluate whether a claim or hypothesis exposes observations that could count against it.

Input contract

required: [claim, prediction_set, observation_domain]
optional: [auxiliary_assumptions, measurement_limits]
constraints: [falsifying conditions must be observable within the declared domain]

Procedure

1. Translate the claim into testable predictions and boundary conditions. 2. Identify observations that would contradict the claim under its assumptions. 3. Check whether those observations are measurable and independent of the claim's definition. 4. Classify falsifiability and list needed operationalization.

Output contract

produces: [falsifiability_assessment, falsifying_observations, operationalization_gaps, assumption_dependencies]
delta_fields: [findings, hypothesis_updates, uncertainties, open_questions]

Quality gates

  • At least one non-vacuous potential counter-observation is explicit for a falsifiable claim.
  • Auxiliary assumptions are separated from the core claim.

Failure and counterexamples

Do not call a claim falsifiable merely because it can be criticized rhetorically.

Provenance map

  • `resolved: evaluate-falsifiability`
Ships withde-anthropocentric-research-engine

The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

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Repo: yogsoth-ai/de-anthropocentric-research-engine