This action monitor comments to issues and pull requests, and remind the sender if offensive language is found.

Create the following workflow file mind-your-language.yml in the .github/workflows/ directory of your repository:

name: Mind your language
on:
  issues:
    types:
      - opened
      - edited
  issue_comment:
    types:
      - created
      - edited
  pull_request_review_comment:
    types:
      - created
      - edited
jobs:
  echo_issue_comment:
    runs-on: ubuntu-latest
    name: profanity check
    steps:
      - name: Checkout
        uses: actions/checkout@v2
      - name: Profanity check step
        uses: tailaiw/mind-your-language-action@v1.0.3
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}

Whenever a comment to an issue or pull request is created, the work flow will perform profanity check against the comment text and take reaction if offensive language is found.

I am currently using profanity-check, a Python package of profanity detection based on machine learning, to determine whether a comment is offensive or not. It is not super powerful but is sensitive to obvious offensive language. I hope I may use some cutting-edge NLP algorithms to get better performance. I will create a separate repo to pursue better alternatives soon. If you are interested in it, stay tuned.

The reaction right now is an auto-reply by github-actions bot that mentions the sender of offensive comment. See the example as following.

I'm a new developer of github action, so suggestion and help are more than welcome. Of course, "Mind your language" 😄