Github Trends®
6892 findingsmedian surprise 0.0109window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: gharchive
FINDING #3061 · 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

SURPRISE0.00792
ENGAGEMENT0.20
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
5.57
ACCEL
+0.36
RETENTION
48.3%
PEAK 2026-07-09 · FORK-RETENTION 0.0% · 39 STARS / WINDOW

Author Audience

AUDIENCE
663
FOLLOWERS
101
OWNER ★
2,170

Engagement Signals

FORKS
400
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 39 / 39 (DIVERSITY 1.00)

Why This Is A Finding

Armur-Ai/Pentest-Swarm-AI собрал 39 звёзд за окно, тогда как у автора всего 101 подписчиков — эффективная аудитория ≈ 663. Это даёт surprise-индекс 0.00792 (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 6892 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 56%
VELOCITY5.574.14+1.43ABOVE 59%
RETENTION48.3%40.6%+7.7 PPABOVE 59%
FORKS40089+311ABOVE 83%
SURPRISE0.010.01-0.00ABOVE 42%