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" 😄