A sophisticated monitoring tool that tracks US Treasury debt supply and demand to identify macroeconomic risk signals and liquidity trends.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install us-treasury-radar
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install us-treasury-radar 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 US Treasury Radar?
US Treasury Radar is a specialized analytical tool designed for the Openclaw Skills ecosystem to provide real-time visibility into US sovereign debt. By aggregating data from the TreasuryDirect API and Treasury International Capital (TIC) reports, it generates comprehensive Muddy Waters Risk Radar reports. The skill focuses on identifying structural shifts in global liquidity, tracking debt acceleration, and providing early warnings for significant market shifts.
This skill is particularly valuable for developers and financial analysts who need to synthesize complex government data into actionable technical signals. It automates the collection of total debt figures and Fed holdings while providing adjusted estimates for foreign ownership, ensuring users have a data-driven perspective on the US debt landscape.
US Treasury Radar Use Cases
- Monitoring real-time US national debt expansion and weekly changes.
- Tracking Federal Reserve security holdings and liquidity withdrawals.
- Identifying Davis Double Kill signals through the combination of debt acceleration and foreign demand contraction.
- Automating macroeconomic research for trading platforms or financial research bots using Openclaw Skills.
- Visualizing monthly trends in foreign ownership from major holders like Japan, China, and the UK.
How US Treasury Radar Works
- The tool initiates a connection to the TreasuryDirect.gov API to fetch the most recent debt figures and Fed securities data.
- It cross-references current figures with historical datasets to calculate Delta (weekly growth) and Gamma (debt acceleration).
- The system pulls the latest monthly TIC report data and applies trend adjustments to estimate current foreign holdings.
- It evaluates the data against predefined logic triggers to detect risk signals like nonlinear debt expansion.
- A structured report is generated, displaying current supply metrics, demand trends, and specific risk alerts.
US Treasury Radar Setup
To integrate this functionality into your environment, follow these steps:
# Ensure you have Python 3 installed
python3 --version
# Clone the repository containing the radar tool
git clone <repository-url>
cd us-treasury-radar
# Execute the radar tool to generate the report
python3 radar.py
US Treasury Radar Data Schema & Taxonomy
The skill organizes its analytical output into a structured format for clear interpretation within Openclaw Skills. The schema focuses on the following key metrics:
| Indicator | Description | Source |
|---|---|---|
| Total Debt | Real-time US sovereign debt volume | TreasuryDirect API |
| Fed Holdings | Real-time securities held by the Federal Reserve | TreasuryDirect API |
| Foreign Holdings | Estimated monthly debt held by major foreign entities | TIC Reports (Adjusted) |
| Delta (Δ) | Weekly net increase in debt scale | Computed |
| Gamma (Γ) | Acceleration of debt (MoM new debt comparison) | Computed |
| Signal | Risk assessment (e.g., Davis Double Kill, Short-seller Warning) | Algorithmic Logic |
US Treasury Radar Advanced Features
- Real-time API integration for up-to-the-minute debt and Fed balance sheet tracking.
- Automated signal detection for the Davis Double Kill (Gamma > 0 + Foreign YoY < 0).
- Nonlinear debt expansion alerts to identify potential short-selling opportunities.
- Dynamic reporting engine that provides weekly and monthly MoM/YoY growth comparisons.
- Multi-source synthesis combining precise API data with estimated historical TIC reports for holistic macro analysis.
SKILL.md
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