Github Trends®
9760 findingsmedian surprise 0.0099window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #8680 · 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

SURPRISE0.00718
ENGAGEMENT0.30
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% 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
8.71
ACCEL
-5.00
RETENTION
13.2%
PEAK 2026-08-22 · FORK-RETENTION 0.0% · 61 STARS / WINDOW

Author Audience

AUDIENCE
1,174
FOLLOWERS
81
OWNER ★
5,058

Engagement Signals

FORKS
184
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 61 / 61 (DIVERSITY 1.00)

Why This Is A Finding

markdown-viewer/skills собрал 61 звёзд за окно, тогда как у автора всего 81 подписчиков — эффективная аудитория ≈ 1,174. Это даёт surprise-индекс 0.00718 (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 9760 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 11%
VELOCITY8.713.71+5.00ABOVE 75%
RETENTION13.2%38.0%-24.8 PPABOVE 20%
FORKS18486+98ABOVE 68%
SURPRISE0.010.01-0.00ABOVE 41%