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yogsoth-aiyogsoth-ai/convergence/skills/inconsistency-localization/SKILL.md

inconsistency-localization

Skill2 starsChanged 6 months agoApache-2.0View on GitHub

Identify which specific comparison pairs are most responsible for preference cycles and inconsistencies.

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SKILL.md

Inconsistency Localization

Given detected cycles in a preference graph, identifies which specific pairwise judgments are most likely erroneous. Ranks problematic pairs by their participation in cycles and weakness of evidence.

Execution

Runs as a subagent. Receives the comparison matrix and detected cycles, returns prioritized list of pairs to re-evaluate.

Why Subagent

Localization requires cross-referencing cycle membership with edge confidence scores and computing centrality metrics on the inconsistency subgraph. This focused analysis benefits from isolation.

HARD-GATE

Output MUST contain at least one problematic pair if cycles input is non-empty. Each pair MUST appear in at least one of the input cycles. Pairs MUST be ordered by priority (most problematic first).

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