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---
name: conclusion-sensitivity
description: Map which assumptions are load-bearing by assessing how the conclusion changes if each assumption fails.
execution: subagent
prompt: ./prompt.md
input: assumptions[], challenges[]
used-by: [steel-manning]
---
# Conclusion Sensitivity
Maps the relationship between assumptions and conclusions — identifying which assumptions are load-bearing (conclusion changes if they fail) versus decorative (conclusion holds regardless). Produces a sensitivity map for decision-makers.
## Execution
Spawns a subagent that takes all extracted assumptions and their challenges, then maps conclusion sensitivity to each.
## Why Subagent
- Sensitivity analysis requires holistic view across all assumptions simultaneously
- Must consider interaction effects between assumptions
- Isolation ensures objective assessment without motivated reasoning
## HARD-GATE
Output must include:
- Sensitivity rating for every assumption
- Identification of critical assumptions (conclusion-changing)
- Interaction effects between assumptions
- Overall decision robustness rating