# finance

> finance — bolnet-finance. Use this tool when you need to analyze financial data and make informed investment decisions. It connects to brokers and market data sources, allowing you to ask complex financial questions in plain English and receive institutional-grade insights. Ideal for investors, financial analysts, and businesses seeking to optimize their financial strategies.

Canonical page: https://skillsregistry.net/skills/bolnet-finance  
JSON: https://api.skillsregistry.net/v1/skills/bolnet-finance

## Description

Claude-powered financial analytics. Connect your broker via Plaid, pull market data via Massive, and ask Claude institutional-grade questions in plain English. 11 MCP tools · 18 slash commands · 16 skills · 15 PE workflows.

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** finance
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/bolnet/finance)

## 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": "bolnet-finance"
    }
  }
}
```

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