Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #4925 · UNIT ID 1177626246
Noi1r/beamer-skill
A Claude Code skill for creating, compiling, reviewing, and polishing academic Beamer LaTeX presentations. Full lifecycle workflow with quality scoring, pedagogical review, TikZ audit, and more.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0164
ENGAGEMENT0.19
FRESHNESS1.34
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
52% 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
1.78
ACCEL
-0.01
RETENTION
13.1%
PEAK 2026-05-18 · FORK-RETENTION 0.0% · 160 STARS / WINDOW

Author Audience

AUDIENCE
68
FOLLOWERS
25
OWNER ★
431

Engagement Signals

FORKS
15
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 160 / 160 (DIVERSITY 1.00)

Why This Is A Finding

Noi1r/beamer-skill собрал 160 звёзд за окно, тогда как у автора всего 25 подписчиков — эффективная аудитория ≈ 68. Это даёт surprise-индекс 0.0164 (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 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 23%
VELOCITY1.783.99-2.22ABOVE 10%
RETENTION13.1%17.1%-4.1 PPABOVE 39%
FORKS1590-74ABOVE 8%
SURPRISE0.020.01+0.00ABOVE 59%