An AI-powered market analysis skill for tracking and analyzing Solana-based prediction markets with regulated data.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install presage
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 presage using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Presage is a sophisticated analysis tool designed for prediction markets, built on the Solana blockchain and powered by Kalshi's regulated exchange. This skill enables AI agents to interface with live market data, providing a technical edge in sports, crypto, and political forecasting. By integrating this skill into the ecosystem of Openclaw Skills, developers can build automated workflows that scan for mispriced assets and analyze orderbooks in real-time.
The primary purpose of Presage is to offer read-only market intelligence. It bridges the gap between raw on-chain data and actionable insights, allowing users to track portfolio performance, monitor high-volume events, and leverage AI recommendations to inform their trading strategies without leaving their agentic environment.
To get started, install the skill via the hub or manually clone the repository:
# Install via ClawHub (recommended)
clawhub install presage
# Or manually
git clone https://github.com/Seenfinity/presage-skill.git
Ensure you are running Node.js 18 or higher to support built-in fetch capabilities required by this Openclaw Skills extension.
The skill organizes data around market tickers and AI-generated insights.
| Field | Description |
|---|---|
| ticker | The unique identifier for the market (e.g., KXBTC-100K-YES) |
| price | Current trading price for the YES/NO outcome |
| recommendation | AI-generated action (e.g., CONSIDER_NO) |
| reasoning | Technical explanation for the recommendation |
| volume | Total trading volume associated with the event |
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