SlopScore

hey everyone 👋 i've been mass following the AI slop problem in open source. curl maintainer said his project is "effectively being DDoSed" by AI generated bug reports. ocaml rejected a 13,000 line AI generated PR. maintainers everywhere are burning out on triage. the pattern is always the same: someone sees a help wanted issue, feeds it to an AI, submits without testing, loops through review comments without understanding, pads their resume, moves on. and it's worst in projects with bounty programs, GSoC, Hacktoberfest. anywhere there's external incentive to "contribute." i couldn't just complain about it. so i built SlopScore. it's a chrome extension that shows contributor reputation right on GitHub PRs. it looks at their history across all of GitHub: merge rates, spray and pray patterns, whether they only self-merge on their own repos. the goal is to help maintainers spot low effort contributors before wasting 30 minutes reviewing garbage. it's completely open source and free. no tracking, no servers, just runs in your browser. i'm not sure if i got the signals right. would love feedback from maintainers on what patterns actually matter to you.