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reproducibility-check

Audits Methods sections for replication completeness and guides open science practices.

Updated Sep 15, 2026
Search Tags:#reproducibility#reporting guidelines#peer review#pre-registration#open science#fair data#methods audit
One-click install
npx skills add https://github.com/mrsonord2240/openscience-specialists --skill reproducibility-check-mrsonord2240
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: reproducibility-check
Source: https://github.com/mrsonord2240/openscience-specialists/tree/main/specialists/critical-appraisal-specialist/versions/1.0.0/package/skills/reproducibility-check
Command: npx skills add https://github.com/mrsonord2240/openscience-specialists --skill reproducibility-check-mrsonord2240

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve? Researchers often submit manuscripts with incomplete Methods sections or overlook open science practices, making their work hard to replicate. This Skill audits methodological completeness and provides prescriptive guidance on pre-registration, FAIR data, code sharing, and reporting transparency. ## Core Features & Use Cases - Methods Completeness Audit: Deconstructs a Methods section to identify missing items (High/Low priority), ambiguous descriptions, and assigns a Low/Medium/High reproducibility risk rating with actionable suggestions. - Open Science Guidance: Covers pre-registration platforms (OSF, AsPredicted, ClinicalTrials.gov, PROSPERO), FAIR data principles, code and environment sharing (GitHub, Zenodo, Docker, Binder), replication study design, and reporting guidelines (CONSORT, STROBE, ARRIVE, PRISMA). - Use Case: Before journal submission, paste your full Methods section and receive a structured report listing missing reagent identifiers, randomization details, and statistical parameters, plus a reproducibility risk rating. ## Quick Start Check whether my pasted Methods section is complete and reproducible, listing missing items by priority with a risk rating.

Frequently Asked Questions about reproducibility-check

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

FAQPage Schema
How do I check if my Methods section is reproducible before submission?▼

Paste the full Methods section and request a completeness audit. The skill identifies missing items by priority, flags ambiguous descriptions, assigns a Low/Medium/High reproducibility risk rating, and suggests concrete additions such as reagent identifiers and statistical parameters.

What pre-registration platform should I use for my study?▼

Use OSF Registries or AsPredicted for general research, ClinicalTrials.gov for clinical trials, and PROSPERO or INPLASY for systematic reviews. The skill guides platform selection based on your study type and distinguishes confirmatory from exploratory analyses.

Can I audit a paper using only the abstract and results?▼

No. The Methods completeness audit requires the full Methods section. If you provide only an abstract, results, or discussion, the skill will request the complete Methods text before proceeding with the audit.

What are FAIR data principles and how do I apply them?▼

FAIR means Findable (persistent identifier, metadata), Accessible (standard retrieval protocol), Interoperable (standard formats and vocabularies), and Reusable (clear license and provenance). The skill provides checklists and repository recommendations such as Zenodo, Dryad, and domain-specific archives.

What are the limitations of a reproducibility audit?▼

The audit does not evaluate correctness of conclusions, ethics compliance, or external validity, and it never infers or fabricates missing methodological details. It only processes content explicitly provided by the user without accessing external websites or running analyses.

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