test broken link (#2662)

.github/workflows/run-htmltest.yml

@@ -6,13 +6,9 @@
 #
 name: run-htmltest-external
 on:
-  pull_request_target:
-    branches: [ main ]
-    types: [ labeled, synchronize ]
-# on:
-  # schedule:
-  #   # 10am UTC on weekdays
-  #   - cron: '0 10 * * 1,2,3,4,5'
+  schedule:
+    # 10am UTC on weekdays
+    - cron: '0 10 * * 1,2,3,4,5'
 jobs:
   htmltest:
     runs-on: ubuntu-large

docs/tutorials/projects/guardian.md

@@ -245,7 +245,7 @@ Then test the components on the [machine's Control tab](/fleet/machines/#control
 ## Detect persons and pets
 
 For the guardian to be able to detect living beings, you will use a machine learning model from the Viam registry called [`EfficientDet-COCO`](https://app.viam.com/ml-model/viam-labs/EfficientDet-COCO).
-The model can detect a variety of things which you can see in <file>[labels.txt](https://github.com/viam-labs/devrel-demos/raw/main/Light%20up%20bot/labels.txt)</file> file.
+The model can detect a variety of things which you can see in <file>[labels.txt](https://githubsss.com/viam-labs/devrel-demos/raw/main/Light%20up%20bot/labels.txt)</file> file.
 
 You can also [train your own custom model](/ml/train-model/) based on images from your robot but the provided Machine Learning model is a good one to start with.