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Automation
Skill

/construct-counterfactual

Construct the minimally or explicitly intervened counterfactual world required by the parent analysis.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill construct-counterfactual --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/construct-counterfactual

Context preview

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

Construct the minimally or explicitly intervened counterfactual world required by the parent analysis.

SKILL.md

construct-counterfactual.SKILL.md
name: construct-counterfactual
description: "Construct the minimally or explicitly intervened counterfactual world required by the parent analysis."

construct-counterfactual

Purpose

Construct the minimally or explicitly intervened counterfactual world required by the parent analysis.

Input contract

required: [baseline_artifact, intervention_target, intervention_specification]
optional: [structural_model, invariants, outcome_query]
constraints: [alter only declared factors; preserve stated invariants]

Procedure

1. Freeze the baseline artifact and enumerate the target factor's dependencies. 2. Apply the intervention specification while holding declared invariants fixed. 3. Propagate direct and cascading effects through the structural model. 4. Compare queried outcomes and classify hold, weaken, flip, or indeterminate.

Output contract

produces: [counterfactual_world, changed_factors, cascading_effects, conclusion_status, consistency_check]
delta_fields: [findings, hypothesis_updates, uncertainties, open_questions]

Quality gates

  • The intervention is minimal or explicitly justified as non-minimal.
  • Every changed downstream variable has a propagation explanation.
  • Internal consistency and conclusion status are separately reported.

Parameterization

Caller supplies artifact schema, intervention grammar, invariants, propagation model, outcome query, and status vocabulary.

Failure and counterexamples

Reject worlds that silently alter non-target factors or violate declared structural constraints.

Provenance map

  • resolved: counterfactual-scenario-construction
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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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