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Reproducibility checklist

Skill BioTender-max/awesome-bio-agent-skills/skills/labclaw/reproducibility-checklist

A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.From the repository description

Install
npx -y skills add BioTender-max/awesome-bio-agent-skills --skill reproducibility-checklist

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

1.5 KB, 350 tokens by cl100k_base, as published. Nobody here has run it

Reproducibility Checklist — Open Science Best Practices

Overview

Ensure research is reproducible, transparent, and meets open science standards.

Pre-Registration

  • Study registered on ClinicalTrials.gov, OSF, or AsPredicted before data collection
  • Primary outcome and analysis plan pre-specified
  • Deviations from pre-registration documented and justified

Data Availability

  • Raw data deposited in domain repository (GEO, PDB, PRIDE, Zenodo, Dryad, Figshare)
  • Data dictionary/codebook provided
  • Sensitive data: de-identification method documented, access controls described
  • DOI assigned to dataset

Code Availability

  • Analysis code in public repository (GitHub, GitLab, Zenodo)
  • Environment specification (requirements.txt, conda env, Docker, renv.lock)
  • Random seeds fixed and documented
  • README with reproduction instructions

Materials

  • Reagent catalog numbers, lot numbers, manufacturer
  • Custom materials: synthesis protocol or request process
  • Cell lines: STR authentication, mycoplasma testing
  • Antibodies: RRID or Antibody Registry ID

Statistical Reporting

  • All statistical tests, parameters, and software versions reported
  • Effect sizes and confidence intervals (not just p-values)
  • Multiple comparison correction method stated
  • Sample size justification (power analysis)

Reporting Standards

  • Applicable guideline followed (STROBE/CONSORT/PRISMA/ARRIVE/MIQE)
  • Checklist completed and submitted with manuscript

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.