Github Trends®
9595 findingsmedian surprise 0.00815window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #8726 · UNIT ID 1149517037
aipoch/medical-research-skills
Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00493
ENGAGEMENT0.31
FRESHNESS1.50
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
10% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
5.87
ACCEL
-0.22
RETENTION
20.8%
PEAK 2026-07-31 · FORK-RETENTION 75.0% · 176 STARS / WINDOW

Author Audience

AUDIENCE
1,151
FOLLOWERS
66
OWNER ★
5,094

Engagement Signals

FORKS
164
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 176 / 176 (DIVERSITY 1.00)

Why This Is A Finding

aipoch/medical-research-skills собрал 176 звёзд за окно, тогда как у автора всего 66 подписчиков — эффективная аудитория ≈ 1,151. Это даёт surprise-индекс 0.00493 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 75.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9595 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 9%
VELOCITY5.873.67+2.20ABOVE 66%
RETENTION20.8%24.6%-3.8 PPABOVE 42%
FORKS164115+49ABOVE 59%
SURPRISE0.000.01-0.00ABOVE 37%