Github Trends®
9696 findingsmedian surprise 0.00598window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #6940 · UNIT ID 1202559832
AlphaGBM/skills
Bring realtime market data and research workflows into Claude Code, Cursor & beyond — 29 open-source Skills for stocks, options and commodities.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.13
ENGAGEMENT0.23
FRESHNESS1.42
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
95% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S1a · OWNER ACCOUNT AND REPO CREATED SAME DAY
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT

Growth Telemetry

VELOCITY /D
88.40
ACCEL
-7.43
RETENTION
13.2%
PEAK 2026-10-07 · FORK-RETENTION 57.8% · 2,652 STARS / WINDOW

Author Audience

AUDIENCE
665
FOLLOWERS
323
OWNER ★
3,415

Engagement Signals

FORKS
318
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 2,652 / 2,652 (DIVERSITY 1.00)

Why This Is A Finding

AlphaGBM/skills собрал 2,652 звёзд за окно, тогда как у автора всего 323 подписчиков — эффективная аудитория ≈ 665. Это даёт surprise-индекс 0.13 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 57.8% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9696 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 28%
VELOCITY88.403.77+84.63ABOVE 98%
RETENTION13.2%19.4%-6.3 PPABOVE 34%
FORKS318176+142ABOVE 63%
SURPRISE0.130.01+0.12ABOVE 99%