Github Trends®
751 findingsmedian surprise 0.028window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #633 · UNIT ID 1208598546
LukasNiessen/kubernetes-skill
Kubernetes Skill for Claude Code and Codex. LLMs hallucinate a lot with K8s - KubeShark fixes this. It eliminates hallucinations and grounds your Kubernetes, Helm etc official best practices.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0142
ENGAGEMENT0.20
FRESHNESS1.32
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
100% 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
3.19
ACCEL
-0.02
RETENTION
6.4%
PEAK 2026-05-17 · FORK-RETENTION 0.0% · 287 STARS / WINDOW

Author Audience

AUDIENCE
185
FOLLOWERS
35
OWNER ★
1,501

Engagement Signals

FORKS
35
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 287 / 287 (DIVERSITY 1.00)

Why This Is A Finding

LukasNiessen/kubernetes-skill собрал 287 звёзд за окно, тогда как у автора всего 35 подписчиков — эффективная аудитория ≈ 185. Это даёт surprise-индекс 0.0142 (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 751 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 16%
VELOCITY3.196.61-3.42ABOVE 28%
RETENTION6.4%22.2%-15.9 PPABOVE 14%
FORKS3597-62ABOVE 28%
SURPRISE0.010.03-0.01ABOVE 32%