polymarket-agent_skill

This skill acts as a prediction market analyst and trading assistant, monitoring markets, researching news, and highlighting profitable edge.

Python

2.6k

GitHub Stars

10

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill polymarket-agent

_meta.json465 B
analyze.py4.0 KB
cli.py11.7 KB
configure.py5.0 KB
install.sh1.2 KB
pyproject.toml1.1 KB
README.md1.2 KB
requirements.txt63 B
SKILL.md15.5 KB
trade.py2.4 KB

Overview

This skill is an autonomous prediction-market analyst that monitors Polymarket markets, researches related news and sentiment, and identifies trading opportunities. It combines Polymarket data, web search, social sentiment, and on-chain signals to calculate edges and propose trades. It can prepare briefings, rank opportunities, and execute trades after confirmation or in autonomous mode.

How this skill works

The agent uses the poly CLI to list markets, check balances, and place orders, while always performing mandatory web searches for news, expert commentary, and social sentiment. It computes implied market probabilities from prices, estimates real-world probabilities from research, and reports the edge with clear rationale and risks. It can schedule monitoring jobs, remember user preferences and past trades, and follow advanced strategies like news scalping, arbitrage detection, and whale-watching.

When to use it

When you want a ranked list of Polymarket opportunities with sources and edge calculations
Before placing a trade to get a research-backed recommendation and risk assessment
For daily briefings that scan top markets, volume, and breaking news
To monitor specific markets and receive alerts before resolution
If you need help sizing bets based on bankroll and risk profile

Best practices

Always run poly setup after installation and confirm API/auth access before analysis
Limit recommended stake to ≤5% of balance per market and diversify across uncorrelated events
Require explicit user confirmation before executing trades unless autonomous mode is enabled
Use web search + social sentiment for each market — never rely on market odds alone
Prefer high-volume markets for liquidity and avoid ambiguous-resolution markets

Example use cases

Generate a daily Polymarket briefing listing top 10 markets, hot opportunities, and recommended actions
Analyze a specific market (e.g., BTC $150k in January) with news summary, edge calculation, and buy/skip recommendation
Monitor a user’s open positions and alert on major news or approaching resolution dates
Scan for arbitrage across related markets (e.g., candidate vs. party outcomes) and propose trades to capture inconsistencies
Follow whale trades and surface bets that professional traders are placing on Polymarket

FAQ

By default the agent will request confirmation before placing orders. Autonomous execution can be enabled in configuration, but I will warn about that risk and recommend limits.

What data sources do you use?

Primary sources are the Polymarket API via the poly CLI, live web search for news and expert commentary, social sentiment (Twitter/X, Reddit), and optional on-chain activity for crypto markets.