digital-oracle for Openclaw

A data-driven forecasting skill that uses market pricing and institutional trading signals to provide objective probability estimates for complex global events.

komako-workshop
v1.1.0
Apr 15, 2026
1
1.5k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install digital-oracle

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 digital-oracle 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 digital-oracle?

digital-oracle is a specialized tool for AI agents that operates on the principle of market efficiency. It shifts the focus from subjective opinions and news reports to hard trading data, such as prediction market contracts, commodity spreads, and options Greeks. This skill allows agents to function as a sophisticated research desk, synthesizing information from 14 different providers to output structured reports on geopolitics, macroeconomics, and industry cycles. By integrating these Openclaw Skills, developers can enable their agents to interpret price action as market consensus, providing a higher level of objectivity in forecasting.

digital-oracle Use Cases

  • Predicting the probability of geopolitical conflicts using Polymarket contracts and safe-haven asset movements.
  • Analyzing economic recession risks by evaluating US Treasury yield curves and FedWatch interest rate probabilities.
  • Assessing industry bubbles or cycles by monitoring insider trading via EDGAR filings and upstream equipment orders.
  • Determining market sentiment for specific assets using the CNN Fear & Greed Index and options Put/Call ratios.
  • Identifying institutional 'smart money' positioning through CFTC Commitment of Traders (COT) reports.

How digital-oracle Works

  1. The skill decomposes a user's question into a core variable, time window, and priceability assessment.
  2. It routes the query to at least three independent signal categories to ensure multi-dimensional validation.
  3. Data is fetched in parallel from a suite of 14 providers, covering everything from crypto derivatives to World Bank GDP data.
  4. The agent performs cross-validation, looking for resonance or divergence between different asset classes and time horizons.
  5. A final structured report is generated, including probability scenarios, time stratification, and specific signals to monitor for future changes.

digital-oracle Setup

To get started with these Openclaw Skills, ensure you have the uv package manager installed. While most providers have no external dependencies, the Yahoo Finance and options features require an additional library.

uv pip install yfinance

When using the EdgarProvider, remember to initialize it with a valid email address to comply with SEC User-Agent requirements. No API keys are required for the majority of the data sources, making it easy to deploy in self-hosted environments.

digital-oracle Data Schema & Taxonomy

The skill organizes its findings into a layered synthesis model to provide clarity on data origins:

Data Layer Primary Sources Key Metrics
Prediction Markets Polymarket, Kalshi Event probabilities, binary contract pricing
Derivatives Deribit, YFinance Implied Volatility, Greeks, Put/Call ratios, Max Pain
Institutional CFTC COT, SEC EDGAR Net positioning, Insider selling (Form 4)
Macro/Rates US Treasury, BIS, FedWatch Yield curves, Policy rates, Rate change probabilities
Economic World Bank, Yahoo Finance GDP trends, Commodity prices, Sector ETFs

digital-oracle Advanced Features

  • Multi-signal cross-validation that automatically identifies and analyzes contradictions between different market signals.
  • Automated Black-Scholes Greeks calculation and implied move estimation for options analysis.
  • Time-stratified analysis that separates short-term market noise from long-term structural shifts.
  • Zero-config web search integration via DuckDuckGo for supplemental data like CDS spreads and VIX levels within the Openclaw Skills framework.
  • Parallelized data gathering using a native gather mechanism to minimize latency across 14 distinct financial providers.

SKILL.md


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METADATA

Requires
Bins uv
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