inconsistency-localization
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/inconsistency-localizationGiven 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.
SKILL.md
.github/skills/inconsistency-localizationView on GitHub ↗
--- name: inconsistency-localization description: Identify which specific comparison pairs are most responsible for preference cycles and inconsistencies. execution: subagent prompt: ./prompt.md input: comparison_matrix(object), cycles(array) used-by: pairwise-ranking --- # 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).