assumption-extraction
Skill2 starsChanged 6 months agoApache-2.0View on GitHub
Systematically surface hidden assumptions underlying a decision with confidence levels.
In this repository119 other files it gives its agents.
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The file
Files
Assumption Extraction
Surfaces all hidden assumptions underlying a decision — the unstated beliefs that must be true for the decision to be correct. Each assumption is tagged with a confidence level indicating how certain we are that it holds.
Execution
Spawns a subagent that systematically examines the decision and its evidence base to extract implicit assumptions across multiple categories.
Why Subagent
- Assumption extraction requires focused, systematic attention
- The extractor must examine the decision from outside, without the decision-maker's blind spots
- Isolation prevents rationalization of assumptions as "obvious"
HARD-GATE
Output must include:
= 5 distinct assumptions
- Confidence level for each (HIGH/MEDIUM/LOW)
- Category for each (causal, scope, temporal, resource, stakeholder, technical)
- Brief justification for each confidence rating
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