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/counterfactual-causal-analysis

Intervene on factors, construct counterfactual worlds, test necessity/sufficiency, and identify load-bearing causal factors.

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill counterfactual-causal-analysis --agent claude-code

SKILL.md

counterfactual-causal-analysis.SKILL.md
name: counterfactual-causal-analysis
description: "Intervene on factors, construct counterfactual worlds, test necessity/sufficiency, and identify load-bearing causal factors."

counterfactual-causal-analysis

Purpose

Intervene on factors, construct counterfactual worlds, test necessity and sufficiency, and identify load-bearing causal factors.

Input contract

required: [causal_claim, variables, intervention_target]
optional: [mechanism_graph, baseline_world, comparison_conditions]
constraints: [intervention and outcome must be measurable or explicitly qualitative]

Execution protocol

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

1. You MUST load skill `extract-causal-structure` to extract the causal structure. You MUST load skill `identify-variables` to type its variables. 2. You MUST load skill `construct-counterfactual` to construct the counterfactual. You MUST load skill `identify-load-bearing-factors` to identify load-bearing factors. 3. You MUST load skill `search-minimal-flip` to search the minimal conclusion flip. You MUST load skill `evaluate-necessity-sufficiency` to test necessity and sufficiency. If the conclusion should instead be tested by contradiction and counterexample, consider `reductio-counterexample-analysis` as the next tactic. Deviation: use qualitative counterfactuals when intervention data are unavailable, but mark the inference uncertainty.

Output contract

produces: [causal_structure, counterfactual_map, load_bearing_factors, minimal_flip, necessity_sufficiency_report]
delta_fields: [findings, evidence_updates, hypothesis_updates, uncertainties, decisions]

Thresholds and quality gates

  • Every intervention must state changed variables, held-fixed conditions, predicted outcome, and evidence basis.
  • Necessity and sufficiency are separate judgments; do not collapse them.

Failure and counterexamples

Do not call a factor necessary when an untested substitute can produce the outcome. Mark counterfactuals underdetermined when held-fixed conditions are unspecified.

Provenance map

  • resolved: counterfactual-probing
  • resolved: structural-counterfactual
  • resolved: necessity-sufficiency
  • resolved: systematic-factor-ablation
  • resolved: causal-necessity-testing
  • resolved: minimal-change-search

Preserved source criteria ledger

| source | source line | kind | source criterion | |---|---:|---|---| | v4 architecture | node desc | textual | Intervene, construct counterfactual worlds, test necessity/sufficiency, identify load-bearing factors. |

Context checkpoint / Delta notes

Append intervention worlds, held-fixed conditions, factor ranking, flip search, and necessity/sufficiency results.

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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 counterfactual-causal-analysis.

Which coding agents can use counterfactual-causal-analysis?
counterfactual-causal-analysis 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.