Github Trends®
9755 findingsmedian surprise 0.00933window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #7966 · UNIT ID 1127499996
lishix520/academic-paper-skills
Systematic framework for planning and writing academic papers using Claude Code. Includes strategist (planning) and composer (writing) skills with quality checkpoints.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0223
ENGAGEMENT0.37
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
4.00
ACCEL
-0.89
RETENTION
41.7%
PEAK 2026-08-24 · FORK-RETENTION 0.0% · 28 STARS / WINDOW

Author Audience

AUDIENCE
139
FOLLOWERS
15
OWNER ★
1,240

Engagement Signals

FORKS
133
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 28 / 28 (DIVERSITY 1.00)

Why This Is A Finding

lishix520/academic-paper-skills собрал 28 звёзд за окно, тогда как у автора всего 15 подписчиков — эффективная аудитория ≈ 139. Это даёт surprise-индекс 0.0223 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9755 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 18%
VELOCITY4.003.71+0.29ABOVE 52%
RETENTION41.7%37.5%+4.2 PPABOVE 56%
FORKS13390+43ABOVE 60%
SURPRISE0.020.01+0.01ABOVE 71%