Github Trends®
9676 findingsmedian surprise 0.00725window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #8185 · UNIT ID 1168281163
LeonChaoX/qinyan-academic-skills
A curated, multilingual library of 182 installable AI agent skills for end-to-end academic research—spanning literature discovery, scientific writing, grant development, bioinformatics, drug discovery, clinical research, machine learning, and data analysis.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0129
ENGAGEMENT0.45
FRESHNESS1.66
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
6% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S1a · OWNER ACCOUNT AND REPO CREATED SAME DAY
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
1.93
ACCEL
-0.00
RETENTION
35.6%
PEAK 2026-09-21 · FORK-RETENTION 100.0% · 58 STARS / WINDOW

Author Audience

AUDIENCE
110
FOLLOWERS
13
OWNER ★
969

Engagement Signals

FORKS
87
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 58 / 58 (DIVERSITY 1.00)

Why This Is A Finding

LeonChaoX/qinyan-academic-skills собрал 58 звёзд за окно, тогда как у автора всего 13 подписчиков — эффективная аудитория ≈ 110. Это даёт surprise-индекс 0.0129 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 100.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9676 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 15%
VELOCITY1.933.80-1.87ABOVE 17%
RETENTION35.6%20.0%+15.6 PPABOVE 82%
FORKS87142-55ABOVE 39%
SURPRISE0.010.01+0.01ABOVE 62%