by pazo01 · Agent Tool · ★ 182
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 182 |
| Forks | 58 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 54/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-29 |
| Created | 2026-07-19 |
| Est. Tokens | ~23k |
⚔️ 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.
Looking for a awesome-cyber-ai-arsenal alternative? If you're comparing awesome-cyber-ai-arsenal with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
AI-powered subdomain enumeration tool with local LLM analysis via Ollama - 100% private, zero API costs
Meet Mitsu, your chibi red-team operator. Connect your AI provider, set the scope, and she can take an authori
Security toolkit for AI agents. Scan your machine for dangerous skills and MCP configs, monitor for supply cha
AI-powered penetration testing MCP server
A growing collection of MCP servers bringing offensive security tools to AI assistants. Nmap, Ghidra, Nuclei,
AI Powered penetration testing Platform for offensive security research
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: