No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by pazo01 · Agent Tool · ★ 169
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-cyber-ai-arsenal safe to install? View the security audit →
⚔️ Awesome Cyber & AI Arsenal A curated, battle‑tested collection of offensive, defensive and AI‑powered security tools. Everything is split into 🔴 Offensive (Red Team), 🔵 Defensive (Blue Team) and 🤖 AI / LLM Security, with sane sub‑categories so you can find the right tool in seconds. [!WARNING] For authorized security testing and education only. Every tool listed here must be used only against systems you own or have explicit written permission to test. Unauthorized access is illegal. See the Disclaimer. 📑 Table of Contents 🔴 Offensive Security (Red Team) Reconnaissance — Subdomain / DNS / ASN Port Scanning & Network HTTP Probing / Crawling / Content Discovery JavaScript Analysis & Parameter Discovery Fuzzing [Vulnerability Scanners (Web / App)](#vulnerab
| Stars | 169 |
| Forks | 45 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 53.6803446894209/100 |
| Last Updated | 2026-09-15 |
| Created | 2026-07-19 |
| Est. Tokens | ~23k |
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awesome-cyber-ai-arsenal is A curated collection of offensive, defensive and AI/LLM security tools.. It is categorized as a Agent Tool with 169 GitHub stars.
You can find installation instructions and usage details in the awesome-cyber-ai-arsenal GitHub repository at github.com/pazo01/awesome-cyber-ai-arsenal. The project has 169 stars and 45 forks, indicating an active community.
awesome-cyber-ai-arsenal is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-cyber-ai-arsenal on Agent Skills Hub include god-eye, agentseal, tengu. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: