Github Trends®
4978 findingsmedian surprise 0.00481window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #1178 · UNIT ID 1210670063
sergebulaev/linkedin-skills
Claude skills for LinkedIn. 12 Claude Code and Codex skills that write human-sounding LinkedIn posts, craft comments that get noticed, analyze your feed, and build a publishing cadence, all from your terminal. Content engineering by Creative Content Crafts. MIT.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0126
ENGAGEMENT0.44
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
13.33
ACCEL
-20.00
RETENTION
0.0%
PEAK 2026-10-15 · FORK-RETENTION 0.0% · 40 STARS / WINDOW

Author Audience

AUDIENCE
1,021
FOLLOWERS
426
OWNER ★
5,950

Engagement Signals

FORKS
820
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 40 / 40 (DIVERSITY 1.00)

Why This Is A Finding

sergebulaev/linkedin-skills собрал 40 звёзд за окно, тогда как у автора всего 426 подписчиков — эффективная аудитория ≈ 1,021. Это даёт surprise-индекс 0.0126 (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 4978 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 76%
VELOCITY13.335.33+8.00ABOVE 78%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS820346+474ABOVE 65%
SURPRISE0.010.00+0.01ABOVE 66%