Github Trends®
4978 findingsmedian surprise 0.00481window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #1166 · 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

SURPRISE0.0152
ENGAGEMENT0.34
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
15.00
ACCEL
-4.00
RETENTION
38.1%
PEAK 2026-10-16 · FORK-RETENTION 0.0% · 45 STARS / WINDOW

Author Audience

AUDIENCE
944
FOLLOWERS
129
OWNER ★
3,156

Engagement Signals

FORKS
549
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 45 / 45 (DIVERSITY 1.00)

Why This Is A Finding

Armur-Ai/Pentest-Swarm-AI собрал 45 звёзд за окно, тогда как у автора всего 129 подписчиков — эффективная аудитория ≈ 944. Это даёт surprise-индекс 0.0152 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 4978 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 77%
VELOCITY15.005.33+9.67ABOVE 80%
RETENTION38.1%0.0%+38.1 PPABOVE 68%
FORKS549346+203ABOVE 58%
SURPRISE0.020.00+0.01ABOVE 70%