abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Intervene on factors, construct counterfactual worlds, test necessity/sufficiency, and identify load-bearing causal factors.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill counterfactual-causal-analysis --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill counterfactual-causal-analysis -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill counterfactual-causal-analysis -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill counterfactual-causal-analysis -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill counterfactual-causal-analysis -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill counterfactual-causal-analysis -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill counterfactual-causal-analysis -a windsurf -y
name: counterfactual-causal-analysis description: "Intervene on factors, construct counterfactual worlds, test necessity/sufficiency, and identify load-bearing causal factors."
Intervene on factors, construct counterfactual worlds, test necessity and sufficiency, and identify load-bearing causal factors.
required: [causal_claim, variables, intervention_target] optional: [mechanism_graph, baseline_world, comparison_conditions] constraints: [intervention and outcome must be measurable or explicitly qualitative]
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.
produces: [causal_structure, counterfactual_map, load_bearing_factors, minimal_flip, necessity_sufficiency_report] delta_fields: [findings, evidence_updates, hypothesis_updates, uncertainties, decisions]
Do not call a factor necessary when an untested substitute can produce the outcome. Mark counterfactuals underdetermined when held-fixed conditions are unspecified.
| source | source line | kind | source criterion | |---|---:|---|---| | v4 architecture | node desc | textual | Intervene, construct counterfactual worlds, test necessity/sufficiency, identify load-bearing factors. |
Append intervention worlds, held-fixed conditions, factor ranking, flip search, and necessity/sufficiency results.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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