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/falsifiability-audit

Gate a hypothesis on falsifiability, operational definition, and boundary conditions; can be entered from any hypothesis-generation path.

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

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

SKILL.md

falsifiability-audit.SKILL.md
name: falsifiability-audit
description: "Gate a hypothesis on falsifiability, operational definition, and boundary conditions; can be entered from any hypothesis-generation path."

falsifiability-audit

Purpose

Gate a hypothesis on falsifiability, operational definition, and boundary conditions; can be entered from any hypothesis-generation path.

Input contract

required: [hypothesis, operational_definition, boundary_conditions]
optional: [assumptions, prior_findings, evidence_updates]
constraints: [consume named scientific objects; preserve provenance; keep unresolved uncertainty visible]

Execution protocol

Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.

1. You MUST load skill `evaluate-falsifiability` to evaluate the claim's reachable falsifiers. 2. You MUST load skill `operationalize-construct` to operationalize every construct used by the claim. 3. You MUST load skill `specify-boundaries` to state the scope and boundary conditions. If the audit exposes an ill-formed question, consider `formulate-research-question`. If the claim is ready for an empirical test, consider `design-experiment`. If a broader falsification program is required, `falsification-first-audit` may be the better next tactic.

Deviation: reorder only when a dependency is already satisfied or unavailable; record the reason and confidence effect.

Output contract

produces: [falsifiability_verdict, operational_definition, boundary_conditions]
delta_fields: [findings, decisions]

Thresholds and quality gates

  • Each output is traceable to an input object, operation, and evidence reference.
  • Scope, assumptions, and unresolved alternatives remain explicit.
  • Retain $\alpha$ 0.05 and power 0.8 wherever the predeclared statistical design requires them.

Failure and counterexamples

Stop synthesis when a required object is absent, a precondition is violated, or a counterexample invalidates the proposed conclusion; return the partial delta with the failure recorded.

Provenance map

  • resolved: falsifiability-audit
  • resolved: hypothesis-operationalization

Preserved source criteria ledger

| source | criterion | treatment | |---|---|---| | resolved v3 entries above | node-specific criteria | retained and specialized to the v4 object contract | | experiment-execution/statistical-testing | $\alpha$ = 0.05 | fixed value retained where applicable | | experiment-execution/sample-size-estimation | power = 0.8 | fixed value retained where applicable |

Context checkpoint / Delta notes

Return the node-specific research-state delta and preserve findings, evidence updates, uncertainties, decisions, open questions, and recommended jumps as applicable.

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@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.

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Questions about falsifiability-audit.

Which coding agents can use falsifiability-audit?
falsifiability-audit 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.