Replace markdown-link-checker with Linkspector

.github/workflows/check-links.yml

@@ -6,10 +6,12 @@ on:
 
 jobs:
   check-links:
-    runs-on: ubuntu-latest
+    name: Linkspector
+    runs-on: ubuntu-22.04
     steps:
       - uses: actions/checkout@v4
-      - uses: gaurav-nelson/github-action-markdown-link-check@v1
+      - name: Run linkspector
+        uses: umbrelladocs/action-linkspector@v1
         with:
-          use-quiet-mode: "yes"
-          use-verbose-mode: "yes"
+          github_token: ${{ secrets.github_token }}
+          reporter: github-pr-review

README.md

@@ -13,7 +13,6 @@ This repository contains blogs by the [central RSE team](https://www.imperial.ac
 
 ### Adding your blog
 
-<!-- markdown-link-check-disable-next-line -->
 - Create a `.md` file for your blog in the `docs/posts` folder and add the blog content to it. You can use the [HackMD template for writing (collaborative) blogs](https://hackmd.io/@SaranjeetKaur/H17O8IzcC/edit). To edit the template, please sign in with, say, GitHub. This template is inspired from [Collaborations Workshop 2024](https://www.software.ac.uk/workshop/collaborations-workshop-2024-cw24)'s blog template. The template is a guide to writing the blog and may be modified as suitable. After the blog is done, please make sure to clean up any non-essential template contents except for the actual blog contents.
 - The file name should start with the publication date without spaces or dashes to facilitate finding the posts in the file structure, for example `20240722_post_name.md` for the example below.
 - Any images should be added to `docs/posts/images/<blog-name>`.

docs/posts/20240722_pydata_london_2024.md

@@ -28,9 +28,9 @@ With Artificial Intelligence, in particular Large Language Models (LLMs) being a
 ![Keynote by Tania Allard at PyData London 2024](images/pydata_london_2024/tania_keynote.png)
 
 A few talks and sessions at PyData touched on Open Source Software. Tania Allard presented a [keynote](https://www.youtube.com/watch?v=9AuuhrQDv0E&list=PLGVZCDnMOq0rrhYTNedKKuJ9716fEaAdK&index=29) on “[The art of building and sustaining successful OSS tools and infrastructure](https://speakerdeck.com/trallard/2024-pydata-lndn)” discussing factors that contribute to an open-source project’s success and sustainability. She also touched upon how to empower developers, users, and maintainers in a sustainable way and not at the expense of the open-source ecosystem.
-<!-- markdown-link-check-disable -->
+
 Cheuk Ting Ho led an interesting unconference style discussion on “How to define open source AI”. The participants of the unconference were asked to walk through the open source initiative’s conversation [explaining the concept of data information](https://discuss.opensource.org/t/explaining-the-concept-of-data-information/401) and they were asked to put their opinions and questions on it. It was a healthy discussion on Data Information as defined in the draft [Open Source AI](https://opensource.org/blog/open-source-ai-definition-weekly-update-june-17) definition: “Sufficiently detailed information about the data used to train the system, so that a skilled person can recreate a substantially equivalent system using the same or similar data.”
-<!-- markdown-link-check-enable -->
+
 There was also another lightning talk presented on [open source science](https://www.opensource.science/), a NumFOCUS initiative connecting scientists and OSS developers.
 
 ![Deb Nicholson’s talk at PyData London 2024](images/pydata_london_2024/deb_open_source_leadership.png)