A high-fidelity simulation and paper trading environment for Polymarket prediction markets featuring 26 specialized MCP tools.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pm-sim
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 pm-sim using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
pm-sim (now officially renamed to polymarket-paper-trader) is a comprehensive simulation framework designed for developers and traders looking to master prediction markets. As a vital component of the Openclaw Skills ecosystem, it provides a safe sandbox for executing trades, testing market theories, and refining betting logic without financial risk.
This skill leverages the Model Context Protocol to bridge AI agents with Polymarket data, offering a suite of 26 MCP tools. It is built for reliability, backed by a massive suite of 597 tests to ensure that every simulated transaction mirrors real-world market behavior. By using these Openclaw Skills, users can bridge the gap between market analysis and automated execution.
The original pm-sim package has been renamed. To set up the latest version of this skill, use the following command:
npx clawhub install polymarket-paper-trader
This ensures you have the most up-to-date Openclaw Skills for your prediction market simulations.
The skill organizes its simulation data to provide a transparent view of trading performance:
| Data Point | Category | Purpose |
|---|---|---|
| MCP Tools | Infrastructure | 26 specialized tools for market interaction and simulation. |
| Validation Suite | Quality Assurance | 597 automated tests ensuring simulation accuracy. |
| Trade History | Simulation Log | A detailed record of all paper trades and market interactions. |
| Market Metadata | Data Feed | Real-time information fetched from Polymarket to drive the sim. |
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