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 ZeroDayEvil · MCP Server · ★ 128
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-security-tool safe to install? View the security audit →
AI Security Tool Cross-Platform AI-Native Terminal & Supply Chain Scanner Next-Gen AI Security Ecosystem, Multi-Protocol Terminal & Autonomous Agent Suite <img src="https://img.shie
| Stars | 128 |
| Forks | 7 |
| Language | HTML |
| Category | MCP Server |
| License | MIT |
| Quality Score | 58.3118536860911/100 |
| Last Updated | 2026-09-19 |
| Created | 2026-09-10 |
| Platforms | browser, cli, mcp |
| Est. Tokens | ~20k |
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ai-security-tool is 🛡️ Free open-source AI-powered security terminal & vulnerability scanner (CVE, SBOM). Supports SSH, SFTP, RDP, VNC, Serial, and 12+ autonomous AI agents (DeepSeek, OpenAI) for automated security work. It is categorized as a MCP Server with 128 GitHub stars.
ai-security-tool is primarily written in HTML. It covers topics such as ai-agent, ctf, cve.
You can find installation instructions and usage details in the ai-security-tool GitHub repository at github.com/ZeroDayEvil/ai-security-tool. The project has 128 stars and 7 forks, indicating an active community.
ai-security-tool is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-security-tool on Agent Skills Hub include KKTerm, UnrealGenAISupport, Overture. 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: