Github Trends®
9102 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #2622 · UNIT ID 1088558237
Orchestra-Research/AI-Research-SKILLs
Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0105
ENGAGEMENT0.26
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
28.67
ACCEL
-5.50
RETENTION
76.5%
PEAK 2026-08-27 · FORK-RETENTION 0.0% · 86 STARS / WINDOW

Author Audience

AUDIENCE
2,702
FOLLOWERS
134
OWNER ★
12,170

Engagement Signals

FORKS
884
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 86 / 86 (DIVERSITY 1.00)

Why This Is A Finding

Orchestra-Research/AI-Research-SKILLs собрал 86 звёзд за окно, тогда как у автора всего 134 подписчиков — эффективная аудитория ≈ 2,702. Это даёт surprise-индекс 0.0105 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9102 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 71%
VELOCITY28.675.67+23.00ABOVE 90%
RETENTION76.5%45.5%+31.0 PPABOVE 84%
FORKS884340+545ABOVE 68%
SURPRISE0.010.00+0.01ABOVE 65%