Github Trends®
9582 findingsmedian surprise 0.00484window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #2441 · UNIT ID 1376380583
kerpopule/hermes-jev-skills
Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents (also Claude Code and Codex)
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE1.24
ENGAGEMENT0.36
FRESHNESS1.01
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
71% 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
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS

Growth Telemetry

VELOCITY /D
171.00
ACCEL
+36.00
RETENTION
0.0%
PEAK 2026-09-23 · FORK-RETENTION 0.0% · 513 STARS / WINDOW

Author Audience

AUDIENCE
98
FOLLOWERS
24
OWNER ★
740

Engagement Signals

FORKS
65
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 513 / 513 (DIVERSITY 1.00)

Why This Is A Finding

kerpopule/hermes-jev-skills собрал 513 звёзд за окно, тогда как у автора всего 24 подписчиков — эффективная аудитория ≈ 98. Это даёт surprise-индекс 1.24 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9582 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 75%
VELOCITY171.005.67+165.33ABOVE 98%
RETENTION0.0%43.8%-43.8 PPABOVE 0%
FORKS65326-261ABOVE 24%
SURPRISE1.240.00+1.23ABOVE 100%