Agent skill · research science · sundial-org
dexter
Autonomous financial research agent for stock analysis, financial statements, metrics, prices, SEC filings, and crypto data.
Why this skill is useful
Adds executable scripts for financial data querying and integrates multiple API sources for comprehensive financial analysis.
What it needs
Requires bun, git installed locally. Requires anthropic, financialdatasets, tavily account access. About 5k tokens when loaded. Last updated 2026-03-07. 639 stars on the source repository.
What this skill does
Dexter Skill (Clawdbot) Dexter is an autonomous financial research agent that plans, executes, and synthesizes financial data analysis. Use it for any financial research question involving stocks, crypto, company fundamentals, or market data. When to Use Dexter Use Dexter for: Stock prices (current and historical) Financial statements (income, balance sheet, cash flow) Financial metrics (P/E, P/B, margins, market cap, etc.) SEC filings (10-K, 10-Q, 8-K) Analyst estimates Insider trades Company news Crypto prices Comparative financial analysis Revenue trends and growth rates Note: Dexter's Financial Datasets API covers primarily US stocks. For international stocks (like European exchanges), it falls back to web search via Tavily. Installation If Dexter is not installed, follow these steps: 1. Clone and Install 2. Configure API Keys Create .env file with required API keys: API Key Sources: Anthropic: https://console.anthropic.com/ Financial Datasets: https://financialdatasets.ai (free tier available) Tavily: https://tavily.com (optional, for web search fallback) 3. Patch for Anthropic-Only Usage Dexter's tool executor defaults to OpenAI's gpt-5-mini. If using Anthropic only, patch it: 4. Configure Model Settings Set Claude as the default model: 5. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sundial-org/dexter