wanshuiyin/Auto-claude-code-research-in-sleep — GitHub trend

FINDING #1389 · UNIT ID 1177608268

wanshuiyin/Auto-claude-code-research-in-sleep

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

[ PYTHON ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0272

ENGAGEMENT0.32

FRESHNESS1.00

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

54.33

ACCEL

-8.50

RETENTION

85.8%

PEAK 2026-08-26 · FORK-RETENTION 50.0% · 163 STARS / WINDOW

Author Audience

AUDIENCE

1,956

FOLLOWERS

319

OWNER ★

16,397

Engagement Signals

FORKS

1,346

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 163 / 163 (DIVERSITY 1.00)

Why This Is A Finding

wanshuiyin/Auto-claude-code-research-in-sleep собрал 163 звёзд за окно, тогда как у автора всего 319 подписчиков — эффективная аудитория ≈ 1,956. Это даёт surprise-индекс 0.0272 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 50.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 85% OF 9558 FINDINGS

#03wang2122/sprix-sage-router[ PYTHON ]0.80 #04zeenie-ai/OpenCompany[ PYTHON ]0.78 #20HRuiCcc/music-geshizhuanhuan[ PYTHON ]0.41 #22MerZlin/dsh-pet-indesktop[ PYTHON ]0.39 #24handsomejustin/easy_tdx[ PYTHON ]0.38

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.01ABOVE 85%

VELOCITY54.335.67+48.67ABOVE 95%

RETENTION85.8%42.9%+43.0 PPABOVE 91%

FORKS1,346333+1,013ABOVE 76%

SURPRISE0.030.00+0.02ABOVE 79%