Spark-To-Paper-Skills/paperjury — GitHub trend

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FINDING #3490 · UNIT ID 1256868358

Spark-To-Paper-Skills/paperjury

Pre-submission AI review stress-test for research papers. A Claude Code skill: review, verdict, revise, verify.

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SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0153

ENGAGEMENT0.19

FRESHNESS1.16

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

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

21% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

7.07

ACCEL

-0.09

RETENTION

45.4%

PEAK 2026-08-04 · FORK-RETENTION 0.0% · 212 STARS / WINDOW

Author Audience

AUDIENCE

423

FOLLOWERS

OWNER ★

2,084

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 212 / 212 (DIVERSITY 1.00)

Why This Is A Finding

Spark-To-Paper-Skills/paperjury собрал 212 звёзд за окно, тогда как у автора всего 3 подписчиков — эффективная аудитория ≈ 423. Это даёт surprise-индекс 0.0153 (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.

Related Findings

RANKS ABOVE 64% OF 9595 FINDINGS

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METRICS IN CONTEXT

MEDIAN ACROSS ALL 9595 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.00ABOVE 64%

VELOCITY7.073.67+3.40ABOVE 71%

RETENTION45.4%24.6%+20.8 PPABOVE 86%

FORKS43115-72ABOVE 27%

SURPRISE0.020.01+0.01ABOVE 65%