Github Trends®
9595 findingsmedian surprise 0.00815window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #1296 · 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

SURPRISE0.0211
ENGAGEMENT0.41
FRESHNESS1.49
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
12% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.50
ACCEL
-0.01
RETENTION
30.4%
PEAK 2026-08-06 · FORK-RETENTION 70.0% · 75 STARS / WINDOW

Author Audience

AUDIENCE
79
FOLLOWERS
18
OWNER ★
605

Engagement Signals

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

Why This Is A Finding

zhinkgit/embeddedskills собрал 75 звёзд за окно, тогда как у автора всего 18 подписчиков — эффективная аудитория ≈ 79. Это даёт surprise-индекс 0.0211 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 70.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9595 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.020.00+0.01ABOVE 86%
VELOCITY2.503.67-1.17ABOVE 32%
RETENTION30.4%24.6%+5.8 PPABOVE 62%
FORKS75115-40ABOVE 40%
SURPRISE0.020.01+0.01ABOVE 73%