Github Trends®
751 findingsmedian surprise 0.028window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #619 · UNIT ID 1147015603
BrianRWagner/ai-marketing-claude-code-skills
Marketing frameworks that AI actually executes. Designed for Claude Code, but could be used for OpenClaw, etc.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0165
ENGAGEMENT0.20
FRESHNESS1.38
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
38% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
S10 · S10

Growth Telemetry

VELOCITY /D
1.54
ACCEL
-0.01
RETENTION
25.0%
PEAK 2026-07-13 · FORK-RETENTION 0.0% · 139 STARS / WINDOW

Author Audience

AUDIENCE
54
FOLLOWERS
16
OWNER ★
378

Engagement Signals

FORKS
87
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 139 / 139 (DIVERSITY 1.00)

Why This Is A Finding

BrianRWagner/ai-marketing-claude-code-skills собрал 139 звёзд за окно, тогда как у автора всего 16 подписчиков — эффективная аудитория ≈ 54. Это даёт surprise-индекс 0.0165 (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 751 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 18%
VELOCITY1.546.61-5.07ABOVE 2%
RETENTION25.0%22.2%+2.8 PPABOVE 55%
FORKS8797-10ABOVE 47%
SURPRISE0.020.03-0.01ABOVE 36%