Github Trends®
5024 findingsmedian surprise 0.0142window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: gharchive
FINDING #1198 · 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

SURPRISE0.036
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.67
ACCEL
-1.50
RETENTION
41.7%
PEAK 2026-07-13 · FORK-RETENTION 0.0% · 11 STARS / WINDOW

Author Audience

AUDIENCE
62
FOLLOWERS
13
OWNER ★
489

Engagement Signals

FORKS
59
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 11 / 11 (DIVERSITY 1.00)

Why This Is A Finding

zhinkgit/embeddedskills собрал 11 звёзд за окно, тогда как у автора всего 13 подписчиков — эффективная аудитория ≈ 62. Это даёт surprise-индекс 0.036 (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 5024 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 76%
VELOCITY3.676.67-3.00ABOVE 21%
RETENTION41.7%46.5%-4.8 PPABOVE 46%
FORKS59116-57ABOVE 33%
SURPRISE0.040.01+0.02ABOVE 74%