reproducibility-check

Audit data availability, code accessibility, and methodological detail for reproducibility gaps.

Updated Mar 19, 2026

Search Tags:#documentation #reproducibility #research-methods #peer-review #code-sharing #data-sharing

Ready to run

npx skills add https://github.com/sencersoylu/scholar-flow --skill reproducibility-check

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: reproducibility-check
Source: https://github.com/sencersoylu/scholar-flow/tree/main/skills/quality/reproducibility-check
Command: npx skills add https://github.com/sencersoylu/scholar-flow --skill reproducibility-check

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Streamlines the evaluation of research reproducibility by auditing data availability, code accessibility, and methodological documentation.

Core Features & Use Cases

Checklist-driven review for data and code availability, documentation completeness, and experiment logging.
Reproducibility reports that summarize gaps and recommended fixes for authors and reviewers.
Use Case: A conference submission uses this skill to generate a reproducibility appendix aligned with journal guidelines.

Quick Start

Run the reproducibility check on your manuscript draft to generate a structured report.

Frequently Asked Questions about reproducibility-check

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I check research reproducibility for a manuscript submission?▼

You can check research reproducibility by auditing data availability, code accessibility, and methodological documentation. This skill generates a structured reproducibility report that summarizes gaps and recommended fixes for authors and reviewers.

How does automated reproducibility review work in CI pipelines?▼

Automated reproducibility review in CI pipelines works by running lightweight checklist-driven checks on data sharing, code accessibility, and documentation completeness. It outputs reproducibility reports identifying gaps and recommended fixes for authors and reviewers.

What is a reproducibility audit for peer-review workflows?▼

A reproducibility audit for peer-review workflows is an evaluation of data availability, code accessibility, and methodological detail. It uses checklist-driven reviews to identify reproducibility gaps across disciplines and recommends fixes for authors and reviewers.

Does reproducibility-check work for grant applications across different disciplines?▼

Yes, reproducibility-check works for grant applications across disciplines. It is applicable wherever reproducibility audits are required, evaluating data availability, code accessibility, and methodological documentation to generate structured reproducibility reports.

What is the best way to audit data and code sharing for research methods?▼

The best way to audit data and code sharing for research methods is using a checklist-driven review process. This skill evaluates data availability and code accessibility, generating a reproducibility appendix aligned with journal guidelines to summarize gaps and recommend fixes.

When do I need to generate a reproducibility report for my research?▼

You need to generate a reproducibility report for your research during manuscript submissions, grant applications, or peer-review workflows. It helps identify gaps in data availability, code accessibility, and methodological documentation by implementing lightweight automated checks.