@gaearonThis open-source track record has real weight
AnonymousProject quality checks out
@yyx990803Community signal is loud
AnonymousThose tags say more than a resume
@sindresorhusLooks like a Hall of Fame regular
AnonymousScore and attention both hold up
@torvaldsWorth opening the GitHub profile
AnonymousHard to argue with this score
@gaearonThis open-source track record has real weight
AnonymousProject quality checks out
@yyx990803Community signal is loud
AnonymousThose tags say more than a resume
@sindresorhusLooks like a Hall of Fame regular
AnonymousScore and attention both hold up
@torvaldsWorth opening the GitHub profile
AnonymousHard to argue with this score
← Back to Hall of Fame
@yoimiya66
Lyu Bingrong
60.30/100
🫥 NPC
Average · Unremarkable
#单repo依赖#UI抛光工#AI代笔咖#星零选手#Single-Repo Dependent#UI Polisher#AI Ghostwriter#Starless Contributor#Resume Actor
Score breakdown
Account maturity6.8 / 10
Original project quality5.8 / 18
Contribution quality19.9 / 27
Ecosystem / maintenance impact12.0 / 20
Community influence2.4 / 8
Activity authenticity15.4 / 17
🧬 Most similar developers
Closest profile, nearby score
🔥 Full roast
🔥 70% of your 47 merged PRs are repetitive Settings UI polish on a single 4.9k-star repo, your 10 original repos have a combined 2 stars, and you got caught with an AI bulk PR citing 'Jules' agent failu
YOIMIYA66 — 62.30/100 · NPC (Average · Unremarkable)
TL;DR: A one-repo wonder whose 47 merged PRs are almost entirely glued to rullerzhou-afk/clawd-on-desk, with a desolate home turf of 2 combined stars across 10 original repos and a half-baked AI-generated PR dump on their own Machine-Learning project — plenty of external grind, zero original engineering value.
| Dimension | Score | Notes |
|---|---|---|
| Account maturity | 6.8/10 | 3.25 years old, 445 contributions last year, active for 4 consecutive calendar years with activity as recent as today — not a new account, but all that activity hasn't translated to any original project traction |
| Original project quality | 5.8/18 | 10 original repos, zero forks across all of them, combined 2 total stars; top-starred original repo is a low-quality HTML guide with a 0.53 quality score, and the highest-quality original repo is a synthetic dataset utility with 0 stars — your home turf is a starless wasteland, no matter how many repos you spin up |
| Contribution quality | 19.9/27 | 47 merged PRs out of 53 total, with 1 maintainer-closed unmerged PR (2% rejection rate), 1 author-closed external PR, and 0 author-closed own-repo PRs; 70% of recent merged PRs are dumped into a single external repo, with minimal cross-project contribution breadth — you're a reliable one-trick pony for one project, but your contribution portfolio has the depth of a puddle |
| Ecosystem / maintenance impact | 12/20 | 42 all-time substantial PRs/commits into popular repos, 38 verified impact PRs (35 core, 3 doc-like); nearly all impact is concentrated in rullerzhou-afk/clawd-on-desk (4,894 stars, 41 PRs, 77 commits), with only 1 unverified PR to the 9.5k-star OpenBMB/MiniCPM repo as cross-ecosystem proof — all that grind for one project, and almost nothing to show for it elsewhere |
| Community influence | 2.4/8 | 3 followers, 4 followed accounts, a follow ratio that would make a follow-farming KPI champion blush, with no bio or profile details to drive any real community engagement — your GitHub profile has less social pull than a forgotten README |
| Activity authenticity | 15.4/17 | 445 contributions last year, active for 4 consecutive years with activity as recent as today; only 1 recent trivial PR, 7% templated PR ratio, no star inflation or PR flooding, though one recent PR to your own Machine-Learning repo appears to be an unfinished AI-generated dump with 8,064 lines of churn — your activity is real, but at least one "contribution" looks like you let an AI run wild on your own repo |
| Red flags |
- Extreme PR concentration: 41 of your 47 merged PRs target rullerzhou-afk/clawd-on-desk, leaving almost no verified impact outside a single external project.
- Suspicious AI-generated PR: Your recent PR to your own Machine-Learning repo is titled as an unfinished AI agent task ("Jules was unable to complete the task in time") with 8,064 lines of churn across 7 files, looking like a half-baked AI dump rather than intentional engineering work.
- Limited cross-ecosystem impact: Only 1 verified PR to another high-star repo (OpenBMB/MiniCPM, 9.5k stars) with no file-level quality sample available, so there's no proof of substantive contribution outside your main target repo. Score calibration No extra adjustment. Your 2-star original repo graveyard and 41-PR single-repo dependency already priced themselves into the base score. Verdict Normal, unremarkable contributor profile. You’re a reliable grunt for rullerzhou-afk/clawd-on-desk’s settings UI polish, but don’t expect any original engineering value from your own repos — your GitHub presence is mostly resume padding and AI-generated skill repos.
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