Github Trends®
9651 findingsmedian surprise 0.00326window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #2528 · 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

SURPRISE0.0107
ENGAGEMENT0.28
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
32.71
ACCEL
-3.36
RETENTION
57.1%
PEAK 2026-10-13 · FORK-RETENTION 27.3% · 229 STARS / WINDOW

Author Audience

AUDIENCE
3,015
FOLLOWERS
142
OWNER ★
13,657

Engagement Signals

FORKS
958
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 229 / 229 (DIVERSITY 1.00)

Why This Is A Finding

Orchestra-Research/AI-Research-SKILLs собрал 229 звёзд за окно, тогда как у автора всего 142 подписчиков — эффективная аудитория ≈ 3,015. Это даёт surprise-индекс 0.0107 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 27.3% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9651 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 74%
VELOCITY32.713.14+29.57ABOVE 95%
RETENTION57.1%16.7%+40.4 PPABOVE 89%
FORKS958277+681ABOVE 73%
SURPRISE0.010.00+0.01ABOVE 70%