cycle-detection
Skill2 starsChanged 6 months agoApache-2.0View on GitHub
Scan a pairwise comparison matrix for preference cycles and compute transitivity metrics.
In this repository119 other files it gives its agents.
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The file
Files
Cycle Detection
Scans a pairwise comparison matrix for preference cycles (A>B>C>A) and computes transitivity metrics. Identifies all minimal cycles and quantifies overall consistency.
Execution
Runs as a subagent. Receives a comparison matrix, returns all detected cycles and transitivity scores.
Why Subagent
Cycle detection requires graph traversal algorithms (Johnson's algorithm or DFS-based enumeration) applied to the preference digraph. Isolating this keeps algorithmic complexity out of the orchestrator.
HARD-GATE
Output MUST contain a cycles array (empty if none found) and a numeric transitivity_score in [0, 1]. All reported cycles MUST be verifiable against the input matrix.
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