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polymarket-bot

Automate Polymarket bot operations including fetching market data, placing trades, and implementing strategies like arbitrage. Use when users need to build or run bots for prediction markets, monitor prices, or execute trades on the Polygon blockchain.

deliverydriver0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install deliverydriver/polymarket-bot

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Polymarket Bot Skill

Overview

This skill enables the creation and operation of a Polymarket bot for tasks such as fetching active markets, monitoring prices, placing orders, and running strategies. It's designed for users involved in cryptocurrency prediction markets, helping automate interactions via the Polymarket APIs while minimizing risks.

Quick Start

To get started, use the scripts in this skill to initialize and run a basic bot. For example, execute scripts/fetch_markets.py to retrieve active markets, then use scripts/bot_strategy.py for arbitrage checks.

Task-Based Structure

This skill is organized by tasks from the SOP, providing modular components for bot development.

Step 1: Research and Setup Prerequisites
  • Review Polymarket APIs (Gamma, CLOB, Data) as outlined in the SOP.
  • Ensure tools like Python and Web3.py are installed.
  • Reference references/api_guide.md for detailed API usage.
Step 2: Define Bot Functionality and Strategy
  • Implement core features like data fetching and trade execution.
  • Use prompts in references/prompts.md to generate code for strategies.
  • Example: Run scripts/strategy_logic.py for arbitrage detection.
Step 3: Development Phases
  • Data Fetching Module: Use scripts/fetch_markets.py to query markets.
  • Authentication and Trading Setup: Handle in scripts/auth_setup.py.
  • Testing and Deployment: Test with scripts/test_bot.py and deploy via references.
Step 4: Potential Challenges and Mitigations
  • Reference references/challenges.md for rate limits, fees, and security tips.
Step 5: Resources
  • See below for scripts and references based on the SOP.

Resources

scripts/
  • fetch_markets.py: Script to fetch and parse market data from Polymarket APIs.
  • auth_setup.py: Handles authentication and deriving API keys.
  • strategy_logic.py: Implements bot strategies like arbitrage.
  • bot_integration.py: Combines phases into a full bot script.
references/...

Source information

Source
github
Repository
openclaw/skills
Path
skills/deliverydriver/polymarket-bot
Version
—
Commit
136f39586803ae2bc7bc173686719a24733463bd
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Polymarket Bot Skill

## Overview
This skill enables the creation and operation of a Polymarket bot for tasks such as fetching active markets, monitoring prices, placing orders, and running strategies. It's designed for users involved in cryptocurrency prediction markets, helping automate interactions via the Polymarket APIs while minimizing risks.

## Quick Start
To get started, use the scripts in this skill to initialize and run a basic bot. For example, execute `scripts/fetch_markets.py` to retrieve active markets, then use `scripts/bot_strategy.py` for arbitrage checks.

## Task-Based Structure
This skill is organized by tasks from the SOP, providing modular components for bot development.

### Step 1: Research and Setup Prerequisites
- Review Polymarket APIs (Gamma, CLOB, Data) as outlined in the SOP.
- Ensure tools like Python and Web3.py are installed.
- Reference `references/api_guide.md` for detailed API usage.

### Step 2: Define Bot Functionality and Strategy
- Implement core features like data fetching and trade execution.
- Use prompts in `references/prompts.md` to generate code for strategies.
- Example: Run `scripts/strategy_logic.py` for arbitrage detection.

### Step 3: Development Phases
- **Data Fetching Module**: Use `scripts/fetch_markets.py` to query markets.
- **Authentication and Trading Setup**: Handle in `scripts/auth_setup.py`.
- **Testing and Deployment**: Test with `scripts/test_bot.py` and deploy via references.

### Step 4: Potential Challenges and Mitigations
- Reference `references/challenges.md` for rate limits, fees, and security tips.

### Step 5: Resources
- See below for scripts and references based on the SOP.

## Resources

### scripts/
- `fetch_markets.py`: Script to fetch and parse market data from Polymarket APIs.
- `auth_setup.py`: Handles authentication and deriving API keys.
- `strategy_logic.py`: Implements bot strategies like arbitrage.
- `bot_integration.py`: Combines phases into a full bot script.

### references/...

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