Github Trends®
9679 findingsmedian surprise 0.00864window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #8903 · 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

SURPRISE0.00466
ENGAGEMENT0.29
FRESHNESS1.21
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
5% 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
5.77
ACCEL
-0.05
RETENTION
5.7%
PEAK 2026-09-01 · FORK-RETENTION 20.0% · 173 STARS / WINDOW

Author Audience

AUDIENCE
1,197
FOLLOWERS
81
OWNER ★
5,177

Engagement Signals

FORKS
189
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 173 / 173 (DIVERSITY 1.00)

Why This Is A Finding

markdown-viewer/skills собрал 173 звёзд за окно, тогда как у автора всего 81 подписчиков — эффективная аудитория ≈ 1,197. Это даёт surprise-индекс 0.00466 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 20.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9679 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 8%
VELOCITY5.773.80+1.97ABOVE 65%
RETENTION5.7%25.0%-19.3 PPABOVE 11%
FORKS189112+77ABOVE 63%
SURPRISE0.000.01-0.00ABOVE 35%