Individual skill
reproducibility-check
Comprehensive reproducibility tool — audit Methods completeness for replication AND promote open science best practices (pre-registration, FAIR data, code sharing, replication design, reporting transparency); trigger when preparing a manuscript, reviewing methodological comple...
scientific-skills/Other/reproducibility-check/SKILL.md
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- Last checked
- Nov 9, 2026
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- 2,043
- 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
- design Derived category
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POLISH_CHANGELOG.mddoc · 666 bytesSKILL.mdcore · 13,763 bytesSKILL.mdcore · 13,763 bytesassets/reproducibility_checklist.mddoc · 3,104 byteseval_report_reproducibility-check_result.jsonasset · 11,005 bytesreferences/guide.mddoc · 4,402 bytes
Read excerpt
> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
## When to Use
Use this skill when you need to assess or improve research reproducibility, for example:
**Mode A — Methods Completeness Audit (diagnostic)**
1. **Pre-submission self-check** to ensure the Methods section is complete before journal submission.
2. **Replication feasibility review** to determine whether another lab/team could repeat the work.
3. **Peer review / methodological audit** to identify missing details, ambiguities, or under-specified procedures.
4. **Internal lab documentation check** to improve protocol clarity and reduce tacit knowledge.
5. **Meta-research / reproducibility screening** to triage papers by reproducibility risk.
**Mode B — Open Science Best Practices (prescriptive)**
6. **Pre-registration guidance** for hypotheses, methods, and analysis plans before data collection.