inconsistency-localization

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

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

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) dependencies: sops: - spawn-agent

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).

Available SOPs

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

SOP When to use
spawn-agent Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent.
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill inconsistency-localization
Repository Details
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article Path SKILL.md
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