Github Trends®
9102 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #1995 · 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

SURPRISE0.0225
ENGAGEMENT0.40
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.67
ACCEL
+0.00
RETENTION
83.3%
PEAK 2026-08-27 · FORK-RETENTION 0.0% · 8 STARS / WINDOW

Author Audience

AUDIENCE
79
FOLLOWERS
18
OWNER ★
605

Engagement Signals

FORKS
75
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 8 / 8 (DIVERSITY 1.00)

Why This Is A Finding

zhinkgit/embeddedskills собрал 8 звёзд за окно, тогда как у автора всего 18 подписчиков — эффективная аудитория ≈ 79. Это даёт surprise-индекс 0.0225 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9102 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 78%
VELOCITY2.675.67-3.00ABOVE 0%
RETENTION83.3%45.5%+37.9 PPABOVE 89%
FORKS75340-264ABOVE 25%
SURPRISE0.020.00+0.02ABOVE 77%