Github Trends®
9651 findingsmedian surprise 0.00326window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #762 · 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 and 7+ native security tools.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0324
ENGAGEMENT0.47
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
7% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
31.86
ACCEL
-4.86
RETENTION
29.8%
PEAK 2026-10-13 · FORK-RETENTION 39.5% · 223 STARS / WINDOW

Author Audience

AUDIENCE
944
FOLLOWERS
129
OWNER ★
3,156

Engagement Signals

FORKS
549
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 223 / 223 (DIVERSITY 1.00)

Why This Is A Finding

Armur-Ai/Pentest-Swarm-AI собрал 223 звёзд за окно, тогда как у автора всего 129 подписчиков — эффективная аудитория ≈ 944. Это даёт surprise-индекс 0.0324 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 39.5% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9651 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.020.00+0.02ABOVE 92%
VELOCITY31.863.14+28.71ABOVE 95%
RETENTION29.8%16.7%+13.1 PPABOVE 65%
FORKS549277+272ABOVE 63%
SURPRISE0.030.00+0.03ABOVE 87%