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quality-assessment

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Aktualisiert16. Mai 2026 um 08:19

Methodological rigor scoring for papers — evaluates bias risk, reproducibility, sample adequacy using established frameworks. Used by systematic-survey.

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Quelle

yogsoth-ai

yogsoth-ai/literature-survey

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

Sonstige Hochschullehrer für SozialwissenschaftenBildungs- und Bibliotheksberufe·SOC 25-1069

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2 Dateien

SKILL.md

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name	quality-assessment
description	Methodological rigor scoring for papers — evaluates bias risk, reproducibility, sample adequacy using established frameworks. Used by systematic-survey.
execution	subagent
prompt	./prompt.md
input	paper_details (string)

Quality Assessment

Evaluate research rigor using established quality assessment frameworks.

Execution

Subagent — spawned via subagent-spawning/spawn-agent skill.

Why Subagent

Quality assessment requires applying consistent criteria across multiple papers while maintaining objectivity. Dedicated context ensures the assessment framework is applied uniformly.

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gap-identification

yogsoth-ai/literature-survey

Identify what the literature has NOT addressed — missing methods, untested combinations, unexplored applications, contradictions without resolution. Used by all strategies.

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Identify recurring themes across papers using qualitative coding methodology. Produces a codebook with theme definitions, supporting evidence, and frequency counts. Used by narrative-review.

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prisma-flowchart

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Generate PRISMA-compliant flow data documenting the screening funnel — counts at each stage (identification, screening, eligibility, inclusion) with exclusion reasons. Used by systematic-survey via prisma-screening tactic.

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taxonomy-mapping

yogsoth-ai/literature-survey

Construct a hierarchical field map from paper collection — multi-level taxonomy with parent/child relationships, paper counts per node, and maturity indicators. Used by scoping-survey.

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saturation-detection

yogsoth-ai/literature-survey

Determine when additional searching yields diminishing returns. Analyzes the latest expansion batch against existing corpus to judge continue/near-saturation/saturated. Used by snowball and systematic-survey.

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seed-selection

yogsoth-ai/literature-survey

Validate and prioritize starting papers for snowball surveys. Evaluates which seeds will yield the richest citation traces based on citation count, recency, and network position.

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