Github Trends®
9759 findingsmedian surprise 0.00836window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #1261 · UNIT ID 1183084383
Sermilion/skill-bill
SkillBill packages your engineering judgment into governed skills, then uses a durable Kotlin runtime to ensure agents actually execute that process consistently, resumably, and with bounded context.
[ KOTLIN ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0481
ENGAGEMENT0.30
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
44% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.29
ACCEL
+0.61
RETENTION
22.2%
PEAK 2026-09-27 · FORK-RETENTION 0.0% · 16 STARS / WINDOW

Author Audience

AUDIENCE
8
FOLLOWERS
3
OWNER ★
45

Engagement Signals

FORKS
3
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 16 / 16 (DIVERSITY 1.00)

Why This Is A Finding

Sermilion/skill-bill собрал 16 звёзд за окно, тогда как у автора всего 3 подписчиков — эффективная аудитория ≈ 8. Это даёт surprise-индекс 0.0481 (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 9759 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.020.00+0.01ABOVE 87%
VELOCITY2.293.57-1.29ABOVE 29%
RETENTION22.2%36.7%-14.4 PPABOVE 30%
FORKS3105-102ABOVE 3%
SURPRISE0.050.01+0.04ABOVE 87%