Github Trends®
9675 findingsmedian surprise 0.00741window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #8073 · UNIT ID 1173309453
Master-cai/Research-Paper-Writing-Skills
Skill package for ML/CV/NLP paper writing, curated and adapted from Prof. Peng Sida's open notes for Codex, Claude Code, and Gemini.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0236
ENGAGEMENT0.24
FRESHNESS1.69
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
8% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
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
21.37
ACCEL
-0.04
RETENTION
50.5%
PEAK 2026-09-18 · FORK-RETENTION 100.0% · 641 STARS / WINDOW

Author Audience

AUDIENCE
865
FOLLOWERS
93
OWNER ★
7,720

Engagement Signals

FORKS
352
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 641 / 641 (DIVERSITY 1.00)

Why This Is A Finding

Master-cai/Research-Paper-Writing-Skills собрал 641 звёзд за окно, тогда как у автора всего 93 подписчиков — эффективная аудитория ≈ 865. Это даёт surprise-индекс 0.0236 (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 9675 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 17%
VELOCITY21.373.80+17.57ABOVE 89%
RETENTION50.5%20.3%+30.2 PPABOVE 95%
FORKS352138+214ABOVE 72%
SURPRISE0.020.01+0.02ABOVE 76%