Github Trends®
9558 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #1275 · UNIT ID 777597786
Armur-Ai/Pentest-Swarm-AI
Autonomous penetration testing using a swarm of AI agents. Orchestrates recon, classification, exploitation, and reporting specialists with ReAct reasoning — supports bug bounty, continuous monitoring, and CTF modes. Built with Go, Claude API, and 7+ native security tools.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0175
ENGAGEMENT0.70
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
14.00
ACCEL
-11.00
RETENTION
34.0%
PEAK 2026-08-26 · FORK-RETENTION 53.8% · 42 STARS / WINDOW

Author Audience

AUDIENCE
760
FOLLOWERS
110
OWNER ★
2,521

Engagement Signals

FORKS
449
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 42 / 42 (DIVERSITY 1.00)

Why This Is A Finding

Armur-Ai/Pentest-Swarm-AI собрал 42 звёзд за окно, тогда как у автора всего 110 подписчиков — эффективная аудитория ≈ 760. Это даёт surprise-индекс 0.0175 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 53.8% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 87%
VELOCITY14.005.67+8.33ABOVE 79%
RETENTION34.0%42.9%-8.9 PPABOVE 43%
FORKS449333+116ABOVE 56%
SURPRISE0.020.00+0.01ABOVE 73%