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/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
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill design-falsification-test --agent claude-code

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
@yogsoth-ai
Ships withde-anthropocentric-research-engine

A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

Stars on GitHub

Momentum

stars in total
507
Star history of yogsoth-ai/de-anthropocentric-research-engine on GitHub, a chart by star-history.com

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Questions about design-falsification-test.

Which coding agents can use design-falsification-test?
design-falsification-test installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.