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/assess-ranking-consistency

Audit pairwise/ranking coherence and identify inconsistent cycles/triads.

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de-anthropocentric-research-engine
499200 skills
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$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-ranking-consistency --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/assess-ranking-consistency

Context preview

The summary Claude sees to decide when to auto-load this skill.

Audit pairwise/ranking coherence and identify inconsistent cycles/triads.

SKILL.md

assess-ranking-consistency.SKILL.md
name: assess-ranking-consistency
description: "Audit pairwise/ranking coherence and identify inconsistent cycles/triads."

assess-ranking-consistency

Purpose

Audit pairwise and aggregate rankings for incoherent cycles, reversals, and unsupported rank transitions.

Input contract

required: [ranked_items, pairwise_judgments, comparison_criteria]
optional: [weights, tie_policy, prior_consistency_report]
constraints: [judgments identify compared items, direction, confidence, and criterion]

Procedure

1. Reconstruct the directed comparison graph and normalize ties and missing edges. 2. Search triads and longer cycles for violations of declared transitivity or criterion direction. 3. Compare aggregate order with its supporting pairwise judgments and flag reversals or low-support placements. 4. Return inconsistency records, affected items, and the minimum judgments requiring review.

Output contract

produces: [comparison_graph, inconsistency_records, review_set]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]

Quality gates

  • Each inconsistency cites the smallest cycle or reversal and the judgments that create it.
  • Ties remain ties unless the input model explicitly supplies a tie-break rule.

Failure and counterexamples

Do not call a sparse graph inconsistent merely because it lacks a comparison. Distinguish missing edges from contradictory edges.

Provenance map

  • resolved: consistency-check
  • resolved: rank-comparison
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The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

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Python
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Repo: yogsoth-ai/de-anthropocentric-research-engine