shareAI-lab/learn-claude-code — GitHub trend

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FINDING #2640 · UNIT ID 1010681419

shareAI-lab/learn-claude-code

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

[ PYTHON ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00215

ENGAGEMENT0.35

FRESHNESS1.00

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

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

0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

53.00

ACCEL

0.00

RETENTION

0.0%

PEAK 2026-08-29 · FORK-RETENTION 0.0% · 53 STARS / WINDOW

Author Audience

AUDIENCE

24,558

FOLLOWERS

3,706

OWNER ★

85,848

Engagement Signals

FORKS

12,194

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 53 / 53 (DIVERSITY 1.00)

Why This Is A Finding

shareAI-lab/learn-claude-code собрал 53 звёзд за окно, тогда как у автора всего 3,706 подписчиков — эффективная аудитория ≈ 24,558. Это даёт surprise-индекс 0.00215 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 48% OF 5124 FINDINGS

#18lixiaoxiao9888-create/manju-laoli-skill[ PYTHON ]0.44 #22wang2122/sprix-sage-router[ PYTHON ]0.40 #25User0332/rewards-farmer[ PYTHON ]0.38 #28framepipe-dev/media-inference-worker[ PYTHON ]0.36 #33HRuiCcc/music-geshizhuanhuan[ PYTHON ]0.33

METRICS IN CONTEXT

MEDIAN ACROSS ALL 5124 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 48%

VELOCITY53.009.00+44.00ABOVE 92%

RETENTION0.0%0.0%0.0 PPABOVE 0%

FORKS12,194420+11,774ABOVE 97%

SURPRISE0.000.01-0.00ABOVE 32%