Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #4685 · UNIT ID 1144793394
yushui2022/MathModel-Skill
Agent-native mathematical modeling workflow skills for Trae, Claude Code, and Codex, covering problem parsing, modeling, code generation, evidence checks, paper writing, and Word delivery.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0199
ENGAGEMENT0.20
FRESHNESS1.35
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
84% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT

Growth Telemetry

VELOCITY /D
1.93
ACCEL
+0.00
RETENTION
16.3%
PEAK 2026-05-19 · FORK-RETENTION 0.0% · 174 STARS / WINDOW

Author Audience

AUDIENCE
57
FOLLOWERS
24
OWNER ★
332

Engagement Signals

FORKS
20
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 174 / 174 (DIVERSITY 1.00)

Why This Is A Finding

yushui2022/MathModel-Skill собрал 174 звёзд за окно, тогда как у автора всего 24 подписчиков — эффективная аудитория ≈ 57. Это даёт surprise-индекс 0.0199 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 27%
VELOCITY1.933.99-2.06ABOVE 15%
RETENTION16.3%17.1%-0.8 PPABOVE 48%
FORKS2090-69ABOVE 12%
SURPRISE0.020.01+0.01ABOVE 64%