Github Trends®
9747 findingsmedian surprise 0.00854window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #1901 · 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

SURPRISE0.0158
ENGAGEMENT0.59
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
4% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
15.14
ACCEL
+3.68
RETENTION
0.0%
PEAK 2026-10-12 · FORK-RETENTION 0.0% · 106 STARS / WINDOW

Author Audience

AUDIENCE
916
FOLLOWERS
127
OWNER ★
3,049

Engagement Signals

FORKS
531
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 106 / 106 (DIVERSITY 1.00)

Why This Is A Finding

Armur-Ai/Pentest-Swarm-AI собрал 106 звёзд за окно, тогда как у автора всего 127 подписчиков — эффективная аудитория ≈ 916. Это даёт surprise-индекс 0.0158 (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 9747 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 80%
VELOCITY15.143.57+11.57ABOVE 84%
RETENTION0.0%33.3%-33.3 PPABOVE 0%
FORKS531104+427ABOVE 85%
SURPRISE0.020.01+0.01ABOVE 65%