SlopGuard, a GitHub App that quarantines AI slop PRs and issues
Human-in-the-loop AI detection that never auto-closes, unlike GitHub's native filters.

Solves the unsolicited AI PR problem via explicit opt-in, not permission-after-the-fact.
Open source maintainers and developers running AI agents (Claude, etc.) looking for contribution opportunities
goodfirstissue.dev · CodeTriage
This makes it extremely explicit about the work you'd be happy to have LLM do as the maintainer. You're in control of how many issues at a time that might be.
Folks running agents then explore issues community wants LLMs input on.
I was inspired by https://goodfirstissue.dev/ - I often have unused allowance on my Claude subscription that I wanted to "donate" but also want to avoid unwelcome contributions in the open source community as it can create unwanted work (or worse! https://news.ycombinator.com/item?id=46987559)
Right now it's just me dog fooding it, but would be keen to help avoid the unsolicited PR problem we're starting to see pop up.
Human-in-the-loop AI detection that never auto-closes, unlike GitHub's native filters.
Health score + AI difficulty tiers solve real friction in GitHub's 'good first issue' search.
Quantifies contributor signal-to-noise; solves real open-source triage pain.
Deduping PRs and scoring them with 20 heuristic signals is a concrete, useful idea — especially the scope-coherence signal and embedding auto-fallback for providers without embeddings. The repo supports CLI, a persistent server, GitHub App integration and an explicit --model flag for provider flexibility, but it's still early and adoption/UX examples (ranked output, workflows) are thin — promising engineering scaffolding that needs real-world validation.
3D-printed GitHub graphs when gh-skyline already generates free STL files.
Clever satire flipping the contribution graph, but offers no actionable insights beyond status page data.