Github Trends®
9789 findingsmedian surprise 0.00728window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #9357 · UNIT ID 1146800670
markdown-viewer/skills
Opinionated skills for AI coding agents to create stunning diagrams and visualizations directly in Markdown. These skills extend agent capabilities across diagram generation, data visualization, and technical documentation.
[ ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00196
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
2.43
ACCEL
-0.04
RETENTION
7.1%
PEAK 2026-09-10 · FORK-RETENTION 0.0% · 17 STARS / WINDOW

Author Audience

AUDIENCE
1,197
FOLLOWERS
81
OWNER ★
5,177

Engagement Signals

FORKS
189
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 17 / 17 (DIVERSITY 1.00)

Why This Is A Finding

markdown-viewer/skills собрал 17 звёзд за окно, тогда как у автора всего 81 подписчиков — эффективная аудитория ≈ 1,197. Это даёт surprise-индекс 0.00196 (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 9789 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 4%
VELOCITY2.433.43-1.00ABOVE 34%
RETENTION7.1%37.5%-30.4 PPABOVE 14%
FORKS189120+69ABOVE 61%
SURPRISE0.000.01-0.01ABOVE 23%