Individual skill
quality-assessment
Automates critical appraisal and quality assessment for research papers by analyzing text against established methodological standards (such as risk of bias tools, quality checklists, or reporting guidelines) and synthesizing a structured evaluation report. Use when you need to assess the methodological quality, internal validity, or reporting completeness of any type of study—including RCTs, observational studies, systematic reviews, qualitative research, or diagnostic accuracy studies.
scientific-skills/Data Analysis/quality-assessment/SKILL.md
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- Repository last updated
- Sep 17, 2026
- License
- MIT
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- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- research Derived category
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SKILL.mdcore · 8,587 bytesSKILL.mdcore · 8,587 bytesSKILL.mdcore · 8,587 bytesSKILL.mdcore · 8,587 bytesSKILL.mdcore · 8,587 bytesSKILL.mdcore · 8,587 bytesSKILL.mdcore · 8,587 bytesSKILL.mdcore · 8,587 bytesquality-assessment_audit_result_v2.jsonasset · 13,731 bytesreferences/quality assessment tool.mddoc · 11,825 bytesscripts/extract_pdf.pyruns · 2,705 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Quality Assessment
This skill is developed based on the scales recommended by the Latitudes Network. The workflow is as follows:
Identify Study Design: First, determine the study design of the literature (Query: Study design)
Recommend Quality Assessment Tool: Based on the identified study design, query and select the appropriate quality assessment tool (Query: References - Quality Assessment Tool)
Complete Quality Assessment: Use the selected tool to perform the final quality assessment of the literature
## Study design
- Animal studies
- Case series
- Case-control studies
- Cohort studies
- Cross-sectional studies