Github Trends®
9756 findingsmedian surprise 0.00928window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #8794 · UNIT ID 1330431542
EverMind-AI/SkillCorpus
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00371
ENGAGEMENT0.55
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
58% 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
19.00
ACCEL
+5.57
RETENTION
76.5%
PEAK 2026-08-26 · FORK-RETENTION 24.1% · 133 STARS / WINDOW

Author Audience

AUDIENCE
5,086
FOLLOWERS
541
OWNER ★
20,081

Engagement Signals

FORKS
48
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 133 / 133 (DIVERSITY 1.00)

Why This Is A Finding

EverMind-AI/SkillCorpus собрал 133 звёзд за окно, тогда как у автора всего 541 подписчиков — эффективная аудитория ≈ 5,086. Это даёт surprise-индекс 0.00371 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 24.1% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9756 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 10%
VELOCITY19.003.71+15.29ABOVE 88%
RETENTION76.5%40.0%+36.5 PPABOVE 93%
FORKS4893-44ABOVE 34%
SURPRISE0.000.01-0.01ABOVE 29%