yogsoth-ai/de-anthropocentric-research-engine

select-next-pair

Select the next comparison pair to maximize expected information gain.

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Como usar

  1. Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
  2. Consulte no original as ferramentas, credenciais e ambientes necessários.
  3. Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill select-next-pair

Antes de começar

  • A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
  • Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
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Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.

select-next-pair

Purpose

Select the next comparison pair to maximize expected information gain while respecting unresolved uncertainty and coverage.

Input contract

yaml
required: [candidate_set, current_ratings, uncertainty_matrix, comparison_budget]
optional: [pair_history, exploration_policy, exclusion_constraints]
constraints: [candidate IDs are stable; expected information gain uses the declared model and available evidence]

Procedure

  1. Enumerate eligible unjudged pairs and compute their current uncertainty and decision relevance.
  2. Estimate expected information gain under the declared comparison model, including the value of resolving a tie or cycle.
  3. Exclude pairs blocked by scope or data constraints, then select the highest-value eligible pair.
  4. Return the selected pair, rationale, alternatives considered, and the budget impact.

Output contract

yaml
produces: [selected_pair, information_gain_estimate, candidate_pair_table, selection_rationale]
delta_fields: [findings, evidence_updates, uncertainties, decisions, recommended_jumps]

Quality gates

  • The selected pair is eligible, not already resolved under the same model, and has a stated information-gain rationale.
  • If all pairs are exhausted or blocked, return an explicit stop reason.

Failure and counterexamples

Do not select a pair solely because it is adjacent in a list. Expected information gain cannot be claimed when uncertainty inputs are absent.

Provenance map

  • resolved: pair-selector

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