Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #962 · 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

SURPRISE0.0175
ENGAGEMENT0.20
FRESHNESS1.45
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
36% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
42.59
ACCEL
-0.25
RETENTION
48.5%
PEAK 2026-05-07 · FORK-RETENTION 0.0% · 3,833 STARS / WINDOW

Author Audience

AUDIENCE
2,394
FOLLOWERS
122
OWNER ★
10,752

Engagement Signals

FORKS
798
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 3,833 / 3,833 (DIVERSITY 1.00)

Why This Is A Finding

Orchestra-Research/AI-Research-SKILLs собрал 3,833 звёзд за окно, тогда как у автора всего 122 подписчиков — эффективная аудитория ≈ 2,394. Это даёт surprise-индекс 0.0175 (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 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 85%
VELOCITY42.593.99+38.59ABOVE 95%
RETENTION48.5%17.1%+31.4 PPABOVE 95%
FORKS79890+709ABOVE 92%
SURPRISE0.020.01+0.01ABOVE 60%