Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #5772 · UNIT ID 1141336664
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
221 AI skills for construction: BIM analysis, cost estimation, scheduling, document control, and automation with Claude Code
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0024
ENGAGEMENT0.20
FRESHNESS1.43
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
61% 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
S10 · S10

Growth Telemetry

VELOCITY /D
1.64
ACCEL
+0.01
RETENTION
43.4%
PEAK 2026-06-10 · FORK-RETENTION 0.0% · 148 STARS / WINDOW

Author Audience

AUDIENCE
644
FOLLOWERS
478
OWNER ★
1,663

Engagement Signals

FORKS
59
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 148 / 148 (DIVERSITY 1.00)

Why This Is A Finding

datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction собрал 148 звёзд за окно, тогда как у автора всего 478 подписчиков — эффективная аудитория ≈ 644. Это даёт surprise-индекс 0.0024 (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 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 10%
VELOCITY1.643.99-2.35ABOVE 6%
RETENTION43.4%17.1%+26.3 PPABOVE 92%
FORKS5990-30ABOVE 37%
SURPRISE0.000.01-0.01ABOVE 21%