# openfinclaw-cli

> openfinclaw-cli — mirror29-openfinclaw-cli. Use this tool when you need to streamline quant-trading workflows, from research to paper trading, with a single prompt. The openfinclaw-cli solves problems of fragmented trading strategies and inefficient backtesting, providing a unified interface for AI agents like Claude Code and Cursor. It takes in trading prompts and outputs executable strategies, making it ideal for use cases that require rapid deployment and testing of quant-trading models.

Canonical page: https://skillsregistry.net/skills/mirror29-openfinclaw-cli  
JSON: https://api.skillsregistry.net/v1/skills/mirror29-openfinclaw-cli

## Description

One-stop quant-trading AI agent — research · strategy · backtest · paper trade from one prompt. Works in Claude Code, Cursor, and 20+ AI agents via MCP. 60-second install with auto Skill registration.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** finance
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/mirror29/openfinclaw-cli)

## 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": "mirror29-openfinclaw-cli"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mirror29-openfinclaw-cli` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mirror29-openfinclaw-cli/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