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risk-of-bias-assessment
Assess methodological bias using RoB2, PROBAST, or QUADAS-2 validated tools
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Assess methodological bias using RoB2, PROBAST, or QUADAS-2 validated tools
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
SOTA Performance Baseline Campaign — 5 strategies for systematically collecting, standardizing, and analyzing performance data across methods. Produces standardized comparison tables, progress curves, and headroom analysis.
Assess systematic biases in the evidence body — publication bias, reporting bias, and selective outcome reporting. Budget: 40 studies, 40 effect sizes, 40 web searches.
Track evidence accumulation over time — cumulative meta-analysis protocol design. Budget: 40 studies, 40 effect sizes, 30 web searches.
Design structured data extraction form for systematic meta-analysis data collection
Systematically extract effect sizes and conditions from papers for meta-analytic synthesis
Determine effect size types and calculation methods for meta-analytic synthesis
| name | risk-of-bias-assessment |
| description | Assess methodological bias using RoB2, PROBAST, or QUADAS-2 validated tools |
| execution | subagent |
| prompt | ./prompt.md |
| input | study_metadata, study_design |
| used-by | meta-analysis |
Conduct structured risk-of-bias assessment for individual studies using the appropriate validated tool (RoB 2.0, ROBINS-I, QUADAS-2, PROBAST, or Newcastle-Ottawa Scale).
study_metadata: Study characteristics, methods description, and resultsstudy_design: The study design (RCT, non-randomized, diagnostic, prediction model, observational)Domain-level risk-of-bias judgments with supporting rationale for each signaling question.