minimal-change-search

Testing & Quality

Tactic: Generate candidate changes, detect flip-points where conclusion reverses, measure fragility as distance to nearest flip.

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Minimal Change Search Tactic

Find the smallest perturbation that flips the conclusion — closer flip-points mean higher fragility.

Orchestration

causal-claim-extraction identifies the conclusion to test
factor-enumeration generates candidate change dimensions
counterfactual-scenario-construction builds scenarios with graduated changes
flip-point-detection binary-searches for the minimal change that flips
fragility-measurement computes distance from actuality to flip-point
Repeat for each dimension within budget
Report: nearest flip-point, fragility index, most vulnerable dimension

Search Strategy

Start with large changes (clearly flips or clearly holds)
Binary search between hold/flip boundary
Record the minimal change magnitude per dimension
Fragility = 1 / (distance to nearest flip-point)

Subagents Dispatched

causal-claim-extraction (conclusion identification)
factor-enumeration (dimension generation)
counterfactual-scenario-construction (graduated scenarios)
flip-point-detection (binary search)
fragility-measurement (distance computation)

Termination Conditions

All dimensions searched within budget
Flip-point found with distance < threshold (extremely fragile)
No flip-point found after maximum search depth (robust)

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
causal-claim-extraction	Extract all causal claims (X causes Y, X leads to Y, X enables Y) from an artifact, producing a structured list of cause-effect pairs.
counterfactual-scenario-construction	Construct precise, internally consistent counterfactual scenarios where specified factors are altered, then reason about the resulting conclusion.
factor-enumeration	List all key factors, conditions, and assumptions that support or enable the artifact's conclusion.
flip-point-detection	Find the minimal change magnitude along a dimension that causes the conclusion to flip from true to false.
fragility-measurement	Compute a fragility index from flip-point distances and degradation scores, summarizing how robust the conclusion is.