Github Trends®
9675 findingsmedian surprise 0.00741window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #8262 · 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

SURPRISE0.0246
ENGAGEMENT0.29
FRESHNESS1.07
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
13% 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
2.93
ACCEL
-0.01
RETENTION
0.0%
PEAK 2026-10-15 · FORK-RETENTION 0.0% · 88 STARS / WINDOW

Author Audience

AUDIENCE
79
FOLLOWERS
9
OWNER ★
700

Engagement Signals

FORKS
39
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 88 / 88 (DIVERSITY 1.00)

Why This Is A Finding

ganzhi-black/humanities-thesis-skill собрал 88 звёзд за окно, тогда как у автора всего 9 подписчиков — эффективная аудитория ≈ 79. Это даёт surprise-индекс 0.0246 (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 9675 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 15%
VELOCITY2.933.80-0.87ABOVE 39%
RETENTION0.0%20.3%-20.3 PPABOVE 0%
FORKS39138-99ABOVE 24%
SURPRISE0.020.01+0.02ABOVE 77%