Github Trends®
4978 findingsmedian surprise 0.00481window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #1798 · 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

SURPRISE0.00851
ENGAGEMENT0.22
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
26.00
ACCEL
-3.50
RETENTION
57.6%
PEAK 2026-10-16 · FORK-RETENTION 0.0% · 78 STARS / WINDOW

Author Audience

AUDIENCE
3,015
FOLLOWERS
142
OWNER ★
13,657

Engagement Signals

FORKS
958
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 78 / 78 (DIVERSITY 1.00)

Why This Is A Finding

Orchestra-Research/AI-Research-SKILLs собрал 78 звёзд за окно, тогда как у автора всего 142 подписчиков — эффективная аудитория ≈ 3,015. Это даёт surprise-индекс 0.00851 (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 4978 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 64%
VELOCITY26.005.33+20.67ABOVE 88%
RETENTION57.6%0.0%+57.6 PPABOVE 80%
FORKS958346+612ABOVE 68%
SURPRISE0.010.00+0.00ABOVE 60%