Public spam score for GitHub profiles #200203
Replies: 2 comments
-
|
💬 Your Product Feedback Has Been Submitted 🎉 Thank you for taking the time to share your insights with us! Your feedback is invaluable as we build a better GitHub experience for all our users. Here's what you can expect moving forward ⏩
Where to look to see what's shipping 👀
What you can do in the meantime 💻
As a member of the GitHub community, your participation is essential. While we can't promise that every suggestion will be implemented, we want to emphasize that your feedback is instrumental in guiding our decisions and priorities. Thank you once again for your contribution to making GitHub even better! We're grateful for your ongoing support and collaboration in shaping the future of our platform. ⭐ |
Beta Was this translation helpful? Give feedback.
-
|
This is a great idea! A public spam score could really help maintainers save time and focus on quality contributions. The score could track patterns like: repeated closed-without-merge PRs, duplicate issues, and flagged spam reports This would shift the community focus from quantity to quality, which is especially important now with the rise of AI-generated low-effort contributions. Hope GitHub considers this! 🙌 |
Beta Was this translation helpful? Give feedback.
Uh oh!
There was an error while loading. Please reload this page.
-
🏷️ Discussion Type
Product Feedback
💬 Feature/Topic Area
Profile
Body
Maintainer burnout has become one of the biggest challenges in open source, and the recent rise in AI-assisted spam contributions is making it worse. AI is a powerful tool when used responsibly, but it also enables contributors to generate large volumes of low-effort pull requests and issues that require maintainers to spend valuable time reviewing and rejecting them. The problem isn't AI itself, it's the incentive to maximize contribution counts rather than contribution quality.
One feature that could help is a public Spam Score displayed by default on GitHub profiles. Similar to how contribution graphs encourage activity, a Spam Score could discourage repeated low-value behavior. The score could be based on signals such as rejected or closed-without-merge pull requests, spam reports, duplicate issues, repeated trivial changes, and other repository-wide moderation signals. It should be transparent, appealable, and designed to minimize false positives.
Such a signal would incentivise meaningful contributions over quantity, help maintainers identify potentially abusive patterns more quickly, and reduce the review burden without discouraging genuine contributors who use AI responsibly.
Beta Was this translation helpful? Give feedback.
All reactions