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Skill

/design-falsification-test

Specify a concrete observation, computation, intervention, counterexample, or measurement that would count against the sharpened claim, prioritizing cheap high-information tests.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-falsification-test --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/design-falsification-test

Context preview

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

Specify a concrete observation, computation, intervention, counterexample, or measurement that would count against the sharpened claim, prioritizing cheap high-information tests.

SKILL.md

design-falsification-test.SKILL.md
name: design-falsification-test
description: "Specify a concrete observation, computation, intervention, counterexample, or measurement that would count against the sharpened claim, prioritizing cheap high-information tests."

design-falsification-test

Purpose

Specify a concrete observation, computation, intervention, counterexample, or measurement that could count against a claim.

Input contract

required: [sharp_claim, scope, candidate_observables]
optional: [cost, available_tools, competing_predictions]
constraints: [test must identify a failure condition and measurement rule]

Procedure

1. Enumerate claim commitments and possible failure observations. 2. Rank tests by information value and cost. 3. Specify the cheapest decisive test with pass/fail interpretation.

If the falsification test has an executable intervention and verdict rule, consider `execute-probe` as the next tactic.

Output contract

produces: [falsification_test, failure_condition, measurement_plan, priority_rationale]
delta_fields: [findings, evidence_updates, uncertainties, decisions]

Quality gates

  • Test must be capable of producing evidence against the claim, not only confirming examples.

Failure and counterexamples

Do not design a test whose acceptance criterion is copied from the claim.

Provenance map

  • resolved: red-team-truthseeking
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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