Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #5662 · UNIT ID 1130059064
dbt-labs/dbt-agent-skills
A curated collection of Agent Skills for working with dbt, to help AI agents understand and execute dbt workflows more effectively.
[ PYTHON ][ ORG ][ VERIFIED ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.000233
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
3.51
ACCEL
-0.02
RETENTION
6.8%
PEAK 2026-02-06 · FORK-RETENTION 0.0% · 631 STARS / WINDOW

Author Audience

AUDIENCE
14,977
FOLLOWERS
2,244
OWNER ★
27,854

Engagement Signals

FORKS
53
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 631 / 631 (DIVERSITY 1.00)

Why This Is A Finding

dbt-labs/dbt-agent-skills собрал 631 звёзд за окно, тогда как у автора всего 2,244 подписчиков — эффективная аудитория ≈ 14,977. Это даёт surprise-индекс 0.000233 (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 5944 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 5%
VELOCITY3.513.29+0.21ABOVE 52%
RETENTION6.8%11.3%-4.5 PPABOVE 32%
FORKS5399-46ABOVE 30%
SURPRISE0.000.01-0.01ABOVE 8%