# CyberScanAI

> CyberScanAI — medbenali-cyberscanai. Use this tool when you need to identify vulnerabilities and VDPs in networks and systems, and conduct thorough penetration testing and network forensics analysis. CyberScanAI solves problems related to network security and incident response by providing detailed scans and risk assessments. It takes network inputs and outputs comprehensive reports and recommendations for remediation.

Canonical page: https://skillsregistry.net/skills/medbenali-cyberscanai  
JSON: https://api.skillsregistry.net/v1/skills/medbenali-cyberscanai

## Description

AI Agent Tool for Penetration Testing and Network Forensics

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/medbenali/CyberScanAI)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "medbenali-cyberscanai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/medbenali-cyberscanai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/medbenali-cyberscanai/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt