FinSkills One for Openclaw

FinSkills One provides a unified REST API gateway for real-time financial data, encompassing stocks, crypto, forex, macroeconomics, and alternative market sentiment.

finskills
v1.0.0
May 10, 2026
0
87
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install finskills-one

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install finskills-one using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is FinSkills One?

FinSkills One is a high-performance financial data skill designed to consolidate over 80 endpoints into a single, streamlined entry point. It bridges the gap between disparate data sources like Yahoo Finance, CoinGecko, FRED, and the SEC EDGAR system, offering developers and AI agents a unified response envelope for consistent data processing. By using this Openclaw Skills integration, users can bypass the complexity of managing multiple API keys and data formats.

The skill is engineered for reliability with automatic multi-source fallback mechanisms. Whether you need deep-dive fundamental analysis, real-time price action, or alternative data like Congress trades and Wall Street Bets sentiment, FinSkills One delivers structured, actionable intelligence. It is an essential component for building robust financial research assistants and automated trading workflows.

FinSkills One Use Cases

  • Real-time monitoring of stock prices, crypto markets, and forex exchange rates.
  • Conducting deep-dive fundamental research using SEC 10-K/10-Q filings and company financials.
  • Analyzing macroeconomic trends through FRED, World Bank, and IMF data indicators.
  • Tracking alternative data including insider trading, Congress member transactions, and social media sentiment.
  • Generating comprehensive market snapshots and sector performance reports for portfolio management.

How FinSkills One Works

  1. The AI agent receives a financial query and identifies the appropriate asset class or data category.
  2. The skill authenticates with the Finskills REST API using the X-API-Key header.
  3. A request is dispatched to either the free or premium routing paths based on the specific data requirements.
  4. The API aggregates data from primary and fallback sources to ensure high availability.
  5. Results are returned in a unified JSON envelope containing the data payload, source attribution, and cache status.
  6. The agent processes the structured data, formats units and timestamps, and presents a factual summary to the user.

FinSkills One Setup

To get started with FinSkills One in your Openclaw Skills environment, follow these steps:

  1. Register for an API key at finskills.net/register.
  2. Set your API key as an environment variable:
export FINSKILLS_API_KEY='your_api_key_here'
  1. Use the provided Python client to test the connection:
python scripts/quote.py AAPL

FinSkills One Data Schema & Taxonomy

FinSkills One uses a standardized response format for all data requests to ensure interoperability.

Field Type Description
success Boolean Indicates if the request was successful.
data Object The core financial payload (quotes, history, etc.).
source String The primary upstream provider (e.g., yahoo, fred).
cached Boolean Whether the data was served from the cache.
timestamp ISO8601 The exact time the data was retrieved.

FinSkills One Advanced Features

  • Multi-source fallback logic to prevent data gaps during upstream outages.
  • Parallel fanning for comparative analysis of multiple assets simultaneously.
  • Support for complex quant data including Fama-French factors and short volume.
  • Native integration with SEC EDGAR for real-time filing alerts and company facts.
  • Flexible historical range and interval parameters for custom charting and backtesting.

SKILL.md


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