An automated trading and market analysis skill for Polymarket on the Polygon network.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install polyclaw-2
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 polyclaw-2 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
PolyClaw is a sophisticated trading-enabled skill designed to bridge the gap between AI agents and prediction markets. By integrating directly with Polymarket on the Polygon network, it allows developers and researchers to browse markets, manage wallets, and execute complex trading strategies programmatically. This tool is a high-value asset for anyone looking to expand their portfolio of Openclaw Skills with decentralized finance capabilities.
The skill provides a robust framework for executing trades through a split-and-sell mechanism, ensuring liquidity even in volatile markets. Beyond simple trading, PolyClaw incorporates LLM-powered analysis to identify logical hedges, allowing users to discover covering portfolios through contrapositive logic and tier-based risk assessment.
# Navigate to the skill directory and install dependencies
cd polyclaw
uv sync
# Set required environment variables
export CHAINSTACK_NODE="your_polygon_rpc_url"
export POLYCLAW_PRIVATE_KEY="your_evm_private_key"
export OPENROUTER_API_KEY="your_openrouter_key"
# Perform one-time contract approvals (costs ~0.01 POL)
uv run python scripts/polyclaw.py wallet approve
| Component | Data Description | Purpose |
|---|---|---|
| Markets | ID, Volume, Question, JSON metadata | Market discovery and detail analysis |
| Wallet | Balances (POL, USDC.e), Approval status | Fund management and readiness checks |
| Positions | Entry Price, Current Price, P&L | Performance tracking and portfolio monitoring |
| Hedge Logic | Tier (1-4), Coverage %, Net Cost | Risk management via LLM-driven logical implications |
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