Github Trends®
6295 findingsmedian surprise 0.0121window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #736 · 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

SURPRISE0.0343
ENGAGEMENT0.20
FRESHNESS1.37
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
22% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.50
ACCEL
-0.02
RETENTION
32.8%
PEAK 2026-06-16 · FORK-RETENTION 0.0% · 105 STARS / WINDOW

Author Audience

AUDIENCE
62
FOLLOWERS
13
OWNER ★
489

Engagement Signals

FORKS
59
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 105 / 105 (DIVERSITY 1.00)

Why This Is A Finding

zhinkgit/embeddedskills собрал 105 звёзд за окно, тогда как у автора всего 13 подписчиков — эффективная аудитория ≈ 62. Это даёт surprise-индекс 0.0343 (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 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.020.00+0.01ABOVE 88%
VELOCITY3.504.23-0.73ABOVE 42%
RETENTION32.8%29.4%+3.3 PPABOVE 57%
FORKS5992-33ABOVE 38%
SURPRISE0.030.01+0.02ABOVE 79%