# CVE

> Use this tool when you need to unify and analyze vulnerability intelligence from multiple sources, or when searching for exploits, proof-of-concepts, and security writeups to identify potential threats and vulnerabilities. It solves problems related to vulnerability management, threat intelligence, and security research by providing specialized tools for CVE search, exploit lookup, and attack surface analysis. The tool accepts various inputs, including CVE IDs and search queries, and outputs relevant vulnerability data, exploits, and reconnaissance information.

Canonical page: https://skillsregistry.net/skills/vozec-cve  
JSON: https://api.skillsregistry.net/v1/skills/vozec-cve

## Description

Unifies vulnerability intelligence from NVD, Exploit-DB, GitHub Advisories, OSV, Vulners, CISA KEV, and Shodan. Provides 19 specialized tools for CVE search, exploit lookup, PoC discovery, attack surface analysis, security writeup search, and reconnaissance data. Supports offline searchsploit queries, Nuclei template matching, and timeline tracking from disclosure to exploitation.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/vozec-cve)
- **Repository:** <https://github.com/vozec/mcp-cve>

## 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": "vozec-cve"
    }
  }
}
```

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

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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