dbt-labs/dbt-agent-skills — GitHub trend

FINDING #8643 · 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

SURPRISE0.000129

ENGAGEMENT0.20

FRESHNESS1.00

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

2.00

ACCEL

+0.25

RETENTION

56.3%

PEAK 2026-08-25 · FORK-RETENTION 0.0% · 14 STARS / WINDOW

Author Audience

AUDIENCE

15,417

FOLLOWERS

2,301

OWNER ★

28,447

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 14 / 14 (DIVERSITY 1.00)

Why This Is A Finding

dbt-labs/dbt-agent-skills собрал 14 звёзд за окно, тогда как у автора всего 2,301 подписчиков — эффективная аудитория ≈ 15,417. Это даёт surprise-индекс 0.000129 (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.

Related Findings

RANKS ABOVE 12% OF 9771 FINDINGS

#05MddIdd/mdd-sim-gateway[ PYTHON ]0.41 #08zeenie-ai/OpenCompany[ PYTHON ]0.38 #15litaolemo/xtquant_big_convert[ PYTHON ]0.33 #23917Dhj/DeepPaperNote[ PYTHON ]0.27 #24LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler[ PYTHON ]0.27

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9771 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 12%

VELOCITY2.003.71-1.71ABOVE 22%

RETENTION56.3%39.3%+16.9 PPABOVE 76%

FORKS6191-30ABOVE 40%

SURPRISE0.000.01-0.01ABOVE 5%