Github Trends®
9771 findingsmedian surprise 0.00917window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #1024 · 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

SURPRISE0.0321
ENGAGEMENT0.45
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
8% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
25.71
ACCEL
-8.82
RETENTION
22.3%
PEAK 2026-08-24 · FORK-RETENTION 60.7% · 180 STARS / WINDOW

Author Audience

AUDIENCE
761
FOLLOWERS
110
OWNER ★
2,526

Engagement Signals

FORKS
451
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 180 / 180 (DIVERSITY 1.00)

Why This Is A Finding

Armur-Ai/Pentest-Swarm-AI собрал 180 звёзд за окно, тогда как у автора всего 110 подписчиков — эффективная аудитория ≈ 761. Это даёт surprise-индекс 0.0321 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 60.7% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9771 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.020.00+0.02ABOVE 90%
VELOCITY25.713.71+22.00ABOVE 91%
RETENTION22.3%39.3%-17.0 PPABOVE 27%
FORKS45191+360ABOVE 84%
SURPRISE0.030.01+0.02ABOVE 80%