Github Trends®
8038 findingsmedian surprise 0.00514window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #6791 · 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

SURPRISE0.0409
ENGAGEMENT0.20
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
4.67
ACCEL
+1.00
RETENTION
50.0%
PEAK 2026-10-11 · FORK-RETENTION 0.0% · 14 STARS / WINDOW

Author Audience

AUDIENCE
74
FOLLOWERS
9
OWNER ★
651

Engagement Signals

FORKS
34
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 14 / 14 (DIVERSITY 1.00)

Why This Is A Finding

ganzhi-black/humanities-thesis-skill собрал 14 звёзд за окно, тогда как у автора всего 9 подписчиков — эффективная аудитория ≈ 74. Это даёт surprise-индекс 0.0409 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 8038 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 16%
VELOCITY4.675.67-1.00ABOVE 38%
RETENTION50.0%14.3%+35.7 PPABOVE 67%
FORKS34333-298ABOVE 16%
SURPRISE0.040.01+0.04ABOVE 83%