diff --git a/.github/actions/spelling/allow.txt b/.github/actions/spelling/allow.txt
index 34737137..844c4877 100644
--- a/.github/actions/spelling/allow.txt
+++ b/.github/actions/spelling/allow.txt
@@ -10,12 +10,9 @@ CHARMM
 CHF
 COSMA
 CPE
-cpe
 CPMD
-CSCS
 CWP
 CXI
-capstor
 Ceph
 Containerfile
 DNS
@@ -46,7 +43,6 @@ HPCP
 HPE
 HSN
 Hartree
-iopsstor
 Jax
 Jira
 Keycloak
@@ -101,23 +97,32 @@ acl
 biomolecular
 bristen
 bytecode
+capstor
 clariden
 concretise
 concretizer
 containerised
+cpe
+cscs
 customised
 diagonalisation
 eiger
 filesystems
 groundstate
+ijulia
 inodes
+iopsstor
 lexer
 libfabric
+miniconda
+mpi
 multitenancy
+nsight
 podman
-prioritised
 prgenv
+prioritised
 proactively
+pytorch
 quickstart
 santis
 sbatch
diff --git a/.github/workflows/spelling.yaml b/.github/workflows/spelling.yaml
index 94c48dbc..50f623e4 100644
--- a/.github/workflows/spelling.yaml
+++ b/.github/workflows/spelling.yaml
@@ -33,6 +33,7 @@ jobs:
         suppress_push_for_open_pull_request: ${{ github.actor != 'dependabot[bot]' && 1 }}
         checkout: true
         check_file_names: 0
+        only_check_changed_files: 1
         post_comment: 1
         use_magic_file: 1
         warnings: bad-regex,binary-file,deprecated-feature,large-file,limited-references,no-newline-at-eof,noisy-file,non-alpha-in-dictionary,token-is-substring,unexpected-line-ending,whitespace-in-dictionary,minified-file,unsupported-configuration,no-files-to-check
diff --git a/docs/access/jupyterlab.md b/docs/access/jupyterlab.md
index bcad52aa..9c5185b3 100644
--- a/docs/access/jupyterlab.md
+++ b/docs/access/jupyterlab.md
@@ -148,7 +148,7 @@ To run Julia code in Jupyter notebooks, you can use the provided uenv for this l
 !!! important "pass a [`julia`][ref-uenv-julia] uenv and the view `jupyter`."
 
 When Julia is first used within Jupyter, IJulia and one or more Julia kernel need to be installed. 
-Type the following command in a shell within JupyterHub to install IJulia, the default Julia kernel and, on systems whith Nvidia GPUs, a Julia kernel running under Nvidia Nsight Systems:
+Type the following command in a shell within JupyterHub to install IJulia, the default Julia kernel and, on systems with Nvidia GPUs, a Julia kernel running under Nvidia Nsight Systems:
 ```bash
 install_ijulia
 ```