Slop Meter for GitHub
About 6 years ago I wrote a blog post [0] with some ideas on how to help popular open source maintainers deal with all the noise on Github. Patted myself in the back and never did anything about it :) There's recently been a lot more discussion around this due to AI, so I've built a simple tool called "Slop Meter" [1]. It gives maintainers a quick snapshot of the user's history in open source: 1) Do they just open issues and expect you to do everything, or will they put in the work to fix the problems and open a PR? What's the issues : PR ratio? 2) If they do contribute, what percentage of…
What it does
In the maker’s words, at launch
About 6 years ago I wrote a blog post [0] with some ideas on how to help popular open source maintainers deal with all the noise on Github. Patted myself in the back and never did anything about it :) There's recently been a lot more discussion around this due to AI, so I've built a simple tool called "Slop Meter" [1]. It gives maintainers a quick snapshot of the user's history in open source: 1) Do they just open issues and expect you to do everything, or will they put in the work to fix the problems and open a PR? What's the issues : PR ratio? 2) If they do contribute, what percentage of their PRs actually gets merged? I feel like these are the two most important signals when triaging what to pay attention to in open source. You can install this on any Github repo and it will automatically post a comment with the stats. We do not run this on maintainers or existing contributors. You can also go on the web and look up a Github profile; it will take a minute or so to import depending on how much public data they have (maybe longer if this makes the front page...). Example profile: https://slopmeter.kernellabs.ai/u/mitchellh If you are an OSS maintainer, I'd love to hear any feedback. [0] https://www.alessiofanelli.com/posts/how-can-we-help-oss-mai... [1] https://slopmeter.kernellabs.ai/
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Hi HN, Lately Github PRs have been drowning in a flood of AI slop. I’ve been seeing it myself, and I’m not the only one: https://x.com/mitchellh/status/2011819428061855915 I think it’s great that folks are using AI tools to code faster and better, but too many folks are abusing them to make low-quality contributions to public repos. This takes a lot of reviewers’ mindshare. IMO there needs to be a mechanism to flag low-effort PRs with AI slop, so you can just skip reading them. So I built one: https://haystackeditor.com/slop-detector It’s a simple AI…
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