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

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FINDING #3698 · 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

SURPRISE0.0104

ENGAGEMENT0.26

FRESHNESS1.00

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

5% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

64.86

ACCEL

-0.68

RETENTION

84.9%

PEAK 2026-08-25 · FORK-RETENTION 50.0% · 454 STARS / WINDOW

Author Audience

AUDIENCE

6,226

FOLLOWERS

824

OWNER ★

54,018

Engagement Signals

FORKS

440

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 454 / 454 (DIVERSITY 1.00)

Why This Is A Finding

Imbad0202/academic-research-skills-codex собрал 454 звёзд за окно, тогда как у автора всего 824 подписчиков — эффективная аудитория ≈ 6,226. Это даёт surprise-индекс 0.0104 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 50.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 62% OF 9771 FINDINGS

#05MddIdd/mdd-sim-gateway[ PYTHON ]0.41 #08zeenie-ai/OpenCompany[ PYTHON ]0.38 #15litaolemo/xtquant_big_convert[ PYTHON ]0.33 #23917Dhj/DeepPaperNote[ PYTHON ]0.27 #24LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler[ PYTHON ]0.27

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9771 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00+0.00ABOVE 62%

VELOCITY64.863.71+61.14ABOVE 97%

RETENTION84.9%39.3%+45.5 PPABOVE 98%

FORKS44091+349ABOVE 84%

SURPRISE0.010.01+0.00ABOVE 53%