# Counterfactual Scenario Construction

> Construct precise, internally consistent counterfactual scenarios where specified factors are altered, then reason about the resulting conclusion.

- Skill: `yogsoth-ai/counterfactual-scenario-construction` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/counterfactual-scenario-construction`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/counterfactual-scenario-construction/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/counterfactual-scenario-construction

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# 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.

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## 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. |

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