Imbad0202/academic-research-skills-codex — GitHub trend

◂ BACK TO LEADERBOARD

FINDING #2653 · UNIT ID 1220899692

Imbad0202/academic-research-skills-codex

Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows

[ PYTHON ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0111

ENGAGEMENT0.27

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

69.33

ACCEL

-1.00

RETENTION

98.6%

PEAK 2026-08-26 · FORK-RETENTION 45.5% · 208 STARS / WINDOW

Author Audience

AUDIENCE

6,210

FOLLOWERS

823

OWNER ★

53,867

Engagement Signals

FORKS

439

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 208 / 208 (DIVERSITY 1.00)

Why This Is A Finding

Imbad0202/academic-research-skills-codex собрал 208 звёзд за окно, тогда как у автора всего 823 подписчиков — эффективная аудитория ≈ 6,210. Это даёт surprise-индекс 0.0111 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 45.5% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 72% OF 9558 FINDINGS

#03wang2122/sprix-sage-router[ PYTHON ]0.80 #04zeenie-ai/OpenCompany[ PYTHON ]0.78 #20HRuiCcc/music-geshizhuanhuan[ PYTHON ]0.41 #22MerZlin/dsh-pet-indesktop[ PYTHON ]0.39 #24handsomejustin/easy_tdx[ PYTHON ]0.38

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00+0.00ABOVE 72%

VELOCITY69.335.67+63.67ABOVE 96%

RETENTION98.6%42.9%+55.7 PPABOVE 95%

FORKS439333+106ABOVE 56%

SURPRISE0.010.00+0.01ABOVE 66%