# Unburden

> Unburden — ghostvyle-unburden. Use this tool when you need to automate reconnaissance, analysis, and offensive security workflows, streamlining your cybersecurity operations with autonomous pentesting capabilities. It integrates with locally deployed Large Language Models (LLMs) and MCP servers to enhance security testing efficiency. Ideal for use cases involving vulnerability assessment, penetration testing, and security auditing, with interfaces supporting git integration for seamless workflow management.

Canonical page: https://skillsregistry.net/skills/ghostvyle-unburden  
JSON: https://api.skillsregistry.net/v1/skills/ghostvyle-unburden

## Description

Autonomous pentesting assistant that integrates a locally deployed LLM with MCP servers to automate reconnaissance, analysis and offensive security workflows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/ghostvyle/Unburden)

## 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": "ghostvyle-unburden"
    }
  }
}
```

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