[This article was first published on rOpenSci - open tools for open science, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.We refactored the R-universe CI workflows to make it possible to run the exact same workflow from your own GitHub repository. This allows you to test or debug the build and check process on your R package, exactly as it will happen on R-universe, but without actually deploying to https://r-universe.dev.The instructions on r-universe-org/workflows explain how it works: simply create a file /.github/workflows/r-universe-test.yml in your R package git repo with the following config:name: Test R-universeon: push: pull_request:jobs: build: name: R-universe testing uses: r-universe-org/workflows/.github/workflows/build.yml@v3 with: universe: ${{ github.repository_owner }}That is everything. The workflow will use the fully automated R-universe setup to build and check the package on a range of R versions on Linux, Windows, and MacOS configurations very similar to CRAN.It is possible to use this workflow in your R package for pushes and/or pull requests alongside those from r-lib/actions. Both will check your R package, but note that the purpose is very different: workflows from r-lib/actions are highly configurable and can test R packages using countless options and environments. The R-universe workflow on the other hand is, just like CRAN, not customizable at all: it uses the exact setup and process as it happens on R-universe, nothing else.The ability to test-run the build workflow has been recurring feature request, and I hope that it will indeed help package maintainers with debugging problems. I also hope the refactoring might make it a little bit easier to understand the R-universe build process, and enable the community to hack on the workflows and actions to contribute improvements.To leave a comment for the author, please follow the link and comment on their blog: rOpenSci - open tools for open science.R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.Continue reading: Testing the R-universe build workflow from your own GitHub repository