Github Trends®
7217 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: starredAt history
FINDING #6463 · UNIT ID 1201635106
labarba/sciwrite
Agent Skill for AI-assisted manuscript writing review, based on Dr. Kristin Sainani's "Writing in the Sciences" methodology.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00303
ENGAGEMENT0.20
FRESHNESS1.33
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
33% 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
2.82
ACCEL
-0.06
RETENTION
8.7%
PEAK 2026-04-18 · FORK-RETENTION 0.0% · 254 STARS / WINDOW

Author Audience

AUDIENCE
891
FOLLOWERS
811
OWNER ★
800

Engagement Signals

FORKS
99
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 254 / 254 (DIVERSITY 1.00)

Why This Is A Finding

labarba/sciwrite собрал 254 звёзд за окно, тогда как у автора всего 811 подписчиков — эффективная аудитория ≈ 891. Это даёт surprise-индекс 0.00303 (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 7217 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 10%
VELOCITY2.823.73-0.91ABOVE 37%
RETENTION8.7%16.2%-7.4 PPABOVE 28%
FORKS9984+15ABOVE 54%
SURPRISE0.000.01-0.01ABOVE 24%