# Counterfactual Scenario Construction > Construct precise, internally consistent counterfactual scenarios where Use when this capability is needed. - Skill: `tomevault-io/counterfactual-scenario-construction` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/counterfactual-scenario-construction` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/counterfactual-scenario-construction/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Research & Search - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/counterfactual-scenario-construction --- # Counterfactual Scenario Construction Builds precise counterfactual worlds where specified factors differ from actuality. ## Execution Subagent — spawned via subagent-spawning/spawn-agent. ## Why Subagent Scenario construction requires careful reasoning about cascading effects of changes while maintaining internal consistency. ## Input - **artifact**: The original artifact - **factor_to_change**: Which factor to alter - **change_specification**: How to alter it (remove, weaken, strengthen, invert) ## Output - **scenario**: The counterfactual world description - **conclusion_status**: holds/weakened/flipped/indeterminate - **cascading_effects**: What else changes as a result - **consistency_check**: Whether the scenario is internally consistent ## Budget One unit = one scenario construction per factor change. ## Available SOPs Optional, no fixed order; the final leaf is always a sop. | SOP | When to use | | --- | --- | | spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. | --- > Source: [yogsoth-ai/de-anthropocentric-research-engine](https://github.com/yogsoth-ai/de-anthropocentric-research-engine) — distributed by [TomeVault](https://tomevault.io).