# Edge Lab

> Use this tool when you need to access and query published research studies on trading systems from LifeLongEdge Edge Lab as structured data, solving problems related to trading strategy development and market analysis. It takes query inputs and returns relevant research study data as output, providing valuable insights for informed decision-making. Ideal for use cases requiring data-driven trading strategy research and development.

Canonical page: https://skillsregistry.net/skills/com-lifelongedge-edge-lab  
JSON: https://api.skillsregistry.net/v1/skills/com-lifelongedge-edge-lab

## Description

Query published LifeLongEdge Edge Lab trading-system research studies as structured data.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.lifelongedge%2Fedge-lab)

## Use it

MCP endpoint published by the skill: `https://lifelongedge.com/mcp`

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": "com-lifelongedge-edge-lab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-lifelongedge-edge-lab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-lifelongedge-edge-lab/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