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Slop Meter for GitHub

Slop Meter for GitHub

by FanaHOVA·Mar 2, 2026·6 points·0 comments
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AI Analysis

●●SolidSolve My ProblemDark Horse

Quantifies contributor signal-to-noise; solves real open-source triage pain.

Strengths
  • •Directly addresses 6-year-old pain point from maintainer's own blog post with working bot
  • •Two-signal metric (issues:PRs + merge %) is simple and actionable for triage
  • •Auto-comment bot + web lookup covers both discovery and batch analysis use cases
Weaknesses
  • •No false-positive handling; high merge % could reflect low standards, not contributor quality
  • •Limited context: doesn't distinguish abandoned PRs, stale issues, or bot contributions
Target Audience

Open-source maintainers, project leads managing high-volume repositories

Post Description

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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