# Inconsistency Localization

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

- Skill: `yogsoth-ai/inconsistency-localization` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/inconsistency-localization`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/inconsistency-localization/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/inconsistency-localization

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# 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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## 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. |

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