Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #5128 · UNIT ID 994930185
sunblaze-ucb/cybergym
CyberGym is a large-scale, high-quality cybersecurity evaluation framework designed to rigorously assess the capabilities of AI agents on real-world vulnerability analysis tasks.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00387
ENGAGEMENT0.20
FRESHNESS1.37
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
81% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT

Growth Telemetry

VELOCITY /D
2.40
ACCEL
+0.02
RETENTION
22.0%
PEAK 2026-04-08 · FORK-RETENTION 0.0% · 432 STARS / WINDOW

Author Audience

AUDIENCE
580
FOLLOWERS
87
OWNER ★
2,029

Engagement Signals

FORKS
64
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 432 / 432 (DIVERSITY 1.00)

Why This Is A Finding

sunblaze-ucb/cybergym собрал 432 звёзд за окно, тогда как у автора всего 87 подписчиков — эффективная аудитория ≈ 580. Это даёт surprise-индекс 0.00387 (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 5944 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 14%
VELOCITY2.403.29-0.89ABOVE 33%
RETENTION22.0%11.3%+10.7 PPABOVE 75%
FORKS6499-35ABOVE 35%
SURPRISE0.000.01-0.01ABOVE 30%