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

FINDING #3037 · 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

SURPRISE0.00605

ENGAGEMENT0.38

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

14.14

ACCEL

-4.89

RETENTION

11.3%

PEAK 2026-10-11 · FORK-RETENTION 81.8% · 99 STARS / WINDOW

Author Audience

AUDIENCE

2,298

FOLLOWERS

387

OWNER ★

19,105

Engagement Signals

FORKS

1,596

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 99 / 99 (DIVERSITY 1.00)

Why This Is A Finding

wanshuiyin/Auto-claude-code-research-in-sleep собрал 99 звёзд за окно, тогда как у автора всего 387 подписчиков — эффективная аудитория ≈ 2,298. Это даёт surprise-индекс 0.00605 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 81.8% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 69% OF 9651 FINDINGS

#02Oldcircle/geo-sleuth[ PYTHON ]0.78 #05Arekejoker/qwen21-nsfw-pose-skill[ PYTHON ]0.64 #31ardeyouxipianyi/workbuddy2api-hub[ PYTHON ]0.35 #38AsherJN/recall[ PYTHON ]0.31 #40MerZlin/dsh-pet-indesktop[ PYTHON ]0.30

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9651 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00+0.00ABOVE 69%

VELOCITY14.143.14+11.00ABOVE 87%

RETENTION11.3%16.7%-5.4 PPABOVE 39%

FORKS1,596277+1,319ABOVE 81%

SURPRISE0.010.00+0.00ABOVE 60%