Github Trends®
9675 findingsmedian surprise 0.00741window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #3645 · 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.
[ TEX ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00932
ENGAGEMENT0.28
FRESHNESS1.27
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
6% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
28.47
ACCEL
-0.02
RETENTION
57.1%
PEAK 2026-10-13 · FORK-RETENTION 7.0% · 854 STARS / WINDOW

Author Audience

AUDIENCE
3,015
FOLLOWERS
142
OWNER ★
13,657

Engagement Signals

FORKS
958
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 854 / 854 (DIVERSITY 1.00)

Why This Is A Finding

Orchestra-Research/AI-Research-SKILLs собрал 854 звёзд за окно, тогда как у автора всего 142 подписчиков — эффективная аудитория ≈ 3,015. Это даёт surprise-индекс 0.00932 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 7.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9675 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 62%
VELOCITY28.473.80+24.67ABOVE 92%
RETENTION57.1%20.3%+36.8 PPABOVE 97%
FORKS958138+820ABOVE 88%
SURPRISE0.010.01+0.00ABOVE 55%