Github Trends®
9102 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #2090 · 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.
[ GO ][ ORG ][ VERIFIED ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0079
ENGAGEMENT0.87
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
6.33
ACCEL
-6.00
RETENTION
17.9%
PEAK 2026-08-27 · FORK-RETENTION 37.5% · 19 STARS / WINDOW

Author Audience

AUDIENCE
761
FOLLOWERS
110
OWNER ★
2,526

Engagement Signals

FORKS
451
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 19 / 19 (DIVERSITY 1.00)

Why This Is A Finding

Armur-Ai/Pentest-Swarm-AI собрал 19 звёзд за окно, тогда как у автора всего 110 подписчиков — эффективная аудитория ≈ 761. Это даёт surprise-индекс 0.0079 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 37.5% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9102 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 77%
VELOCITY6.335.67+0.67ABOVE 53%
RETENTION17.9%45.5%-27.6 PPABOVE 28%
FORKS451340+112ABOVE 56%
SURPRISE0.010.00+0.00ABOVE 60%