Audit a research question for scope and FINER-style quality; return targeted repairs.
Scanned 9/24/2026
npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assess-question-quality --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: assess-question-quality
description: "Audit a research question for scope and FINER-style quality; return targeted repairs."
---
# 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
1. Evaluate clarity, focus, answerability, relevance, and scope fit.
2. Identify ambiguity, hidden assumptions, and unbounded terms.
3. Propose the smallest wording changes that resolve material defects.
4. 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`
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