Github Trends®
9755 findingsmedian surprise 0.00933window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #1820 · UNIT ID 1206815767
zhinkgit/embeddedskills
An open-source collection of embedded development and debugging skills for Claude Code, Copilot, TRAE, and other AI coding assistants that support the Skill protocol. Once installed, the AI assistant can directly operate compilers, debuggers, and communication buses, automating the full workflow from code generation to hardware verification.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0253
ENGAGEMENT0.35
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.00
ACCEL
-0.46
RETENTION
40.0%
PEAK 2026-08-25 · FORK-RETENTION 0.0% · 21 STARS / WINDOW

Author Audience

AUDIENCE
79
FOLLOWERS
18
OWNER ★
605

Engagement Signals

FORKS
75
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 21 / 21 (DIVERSITY 1.00)

Why This Is A Finding

zhinkgit/embeddedskills собрал 21 звёзд за окно, тогда как у автора всего 18 подписчиков — эффективная аудитория ≈ 79. Это даёт surprise-индекс 0.0253 (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 9755 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 81%
VELOCITY3.003.71-0.71ABOVE 41%
RETENTION40.0%37.5%+2.5 PPABOVE 53%
FORKS7590-15ABOVE 45%
SURPRISE0.030.01+0.02ABOVE 74%