diff --git a/.github/workflows/render-README.yaml b/.github/workflows/render-README.yaml
index 6f09d61..36f59f1 100644
--- a/.github/workflows/render-README.yaml
+++ b/.github/workflows/render-README.yaml
@@ -4,7 +4,7 @@
 on:
   push:
     branches: main
-    paths: README.Rmd
+    paths: [README.Rmd, render-README.yaml]
 
 name: render-README
 
@@ -22,11 +22,11 @@ jobs:
       - uses: r-lib/actions/setup-pandoc@v2
 
       - name: install CRAN packages
-        run: Rscript -e 'install.packages(c("rmarkdown","ggplot2", "dplyr", "purrr", "remotes", "BiocManager"))'
+        run: Rscript -e 'install.packages(c("rmarkdown","ggplot2", "dplyr", "purrr", "remotes", "caret", "BiocManager"))'
       - name: install BioConductor packages
         run: Rscript -e 'BiocManager::install(c("SingleCellExperiment", "scater", "scran"))'
       - name: install GitHub packages
-        run: Rscript -e 'remotes::install_github("jr-leary7/scLANE"); remotes::install_github("rhondabacher/scaffold")'
+        run: Rscript -e 'remotes::install_github("jr-leary7/scLANE")'
       - name: render README
         run: Rscript -e 'rmarkdown::render("README.Rmd", output_format = "md_document")'
       - name: commit rendered README
diff --git a/README.Rmd b/README.Rmd
index 1ade39b..5cb67d2 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -68,7 +68,7 @@ filter <- dplyr::filter
 We read a previously-simulated dataset comprised of cells from 3 subjects exhibiting a homogeneous trajectory structure from [the Zenodo repository](https://doi.org/10.5281/zenodo.8433077). The underlying true pseudotime values are stored in the `colData` slot of the `SingleCellExperiment` object under the name **cell_time_normed**. 
 
 ```{r sim, results='hide'}
-sim_data <- readRDS(url("https://zenodo.org/record/8433077/files/scLANE_sim_data.Rds"))
+sim_data <- readRDS(url("https://zenodo.org/records/8433077/files/scLANE_sim_data.Rds"))
 ```
 
 The PCA embeddings show us a pretty simple trajectory that's strongly correlated with the first principal component.