An AI-powered analytical tool that decodes central bank policy decisions and macroeconomic data into structured market intelligence.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install the-fed-agent
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install the-fed-agent using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Fed Agent is a sophisticated analytical skill designed to bridge the gap between complex macroeconomic news and actionable financial insights. It specializes in evaluating central bank behaviors, interest rate trajectories, and inflationary trends. By processing news URLs through established economic frameworks, this tool provides a clear assessment of policy stances and their likely impact on global markets.
Built to function seamlessly within the ecosystem of Openclaw Skills, it empowers traders and researchers to automate the synthesis of Treasury yields, dual-mandate balances, and geopolitical impacts. It transforms raw financial reporting into high-density intelligence reports that highlight both risks and opportunities in the current economic landscape.
To integrate this capability into your workflow, ensure your environment is configured to support Openclaw Skills and use the following command structure:
# Install the skill via your agent manager
openclaw install the-fed-agent
# Run the analysis by providing a target news URL
the-fed-agent <news_url>
The Fed Agent organizes data through a rigorous reference system and outputs structured tables for clarity:
| Data Type | Description |
|---|---|
| Analytical Frameworks | Stored in references/ to define policy stance and stagflationary dynamics. |
| Input Data | News content, economic reports, or central bank press releases. |
| Economic Impact Table | Tracks Rate Decisions, Inflation, Growth, and Oil Prices against policy implications. |
| Trading Odds | Provides Overweight/Underweight recommendations with Rationale and Risk Factors. |
| Probabilistic Scenarios | Ranked list of future outcomes with percentage-based likelihoods. |
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