Como usar
- Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
- Consulte no original as ferramentas, credenciais e ambientes necessários.
- 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 assess-question-qualityAntes 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.
Documento original do Skill
Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.
assess-question-quality
Purpose
Assess whether a research question is clear, focused, answerable, relevant, and appropriately scoped.
Input contract
yaml
required: [research_question, intended_use]
optional: [constraints, evidence_context, stakeholder_needs]
constraints: [each quality judgment requires a criterion and textual evidence]Procedure
- Evaluate clarity, focus, answerability, relevance, and scope fit.
- Identify ambiguity, hidden assumptions, and unbounded terms.
- Propose the smallest wording changes that resolve material defects.
- Return a scored or categorical assessment with unresolved issues.
Output contract
yaml
produces: [quality_assessment, criterion_evidence, revision_candidates, unresolved_issues]
delta_fields: [findings, decisions, uncertainties, open_questions]Quality gates
- Judgments cite exact question terms.
- Revision candidates preserve the intended decision or outcome.
Failure and counterexamples
Do not reward complexity as rigor or call a question answerable when its outcome cannot be observed.
Provenance map
resolved: assess-question-quality
