Github Trends®
6295 findingsmedian surprise 0.0121window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #1896 · 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

SURPRISE0.0143
ENGAGEMENT0.20
FRESHNESS1.44
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
10% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
34.77
ACCEL
-0.11
RETENTION
68.0%
PEAK 2026-06-23 · FORK-RETENTION 0.0% · 1,043 STARS / WINDOW

Author Audience

AUDIENCE
2,394
FOLLOWERS
122
OWNER ★
10,752

Engagement Signals

FORKS
798
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 1,043 / 1,043 (DIVERSITY 1.00)

Why This Is A Finding

Orchestra-Research/AI-Research-SKILLs собрал 1,043 звёзд за окно, тогда как у автора всего 122 подписчиков — эффективная аудитория ≈ 2,394. Это даёт surprise-индекс 0.0143 (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 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 70%
VELOCITY34.774.23+30.53ABOVE 92%
RETENTION68.0%29.4%+38.6 PPABOVE 97%
FORKS79892+706ABOVE 90%
SURPRISE0.010.01+0.00ABOVE 55%