Github Trends®
5024 findingsmedian surprise 0.0142window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: gharchive
FINDING #4108 · UNIT ID 1222173827
ganzhi-black/humanities-thesis-skill
AI skill for humanities thesis writing — from topic selection to publication. 8 academic databases, 21 review rules, anti-hallucination guardrails. 人文社科论文写作 AI Skill
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0555
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
4% 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 · S10

Growth Telemetry

VELOCITY /D
4.33
ACCEL
-0.50
RETENTION
80.0%
PEAK 2026-07-13 · FORK-RETENTION 0.0% · 13 STARS / WINDOW

Author Audience

AUDIENCE
38
FOLLOWERS
6
OWNER ★
321

Engagement Signals

FORKS
22
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 13 / 13 (DIVERSITY 1.00)

Why This Is A Finding

ganzhi-black/humanities-thesis-skill собрал 13 звёзд за окно, тогда как у автора всего 6 подписчиков — эффективная аудитория ≈ 38. Это даёт surprise-индекс 0.0555 (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 5024 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 18%
VELOCITY4.336.67-2.33ABOVE 30%
RETENTION80.0%46.5%+33.5 PPABOVE 84%
FORKS22116-94ABOVE 16%
SURPRISE0.060.01+0.04ABOVE 83%