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SKILL.md
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SKILL.md
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---
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name: polymarket
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description: "查询Polymarket预测市场。用于关于预测市场、投注赔率、市场价格、事件概率的问题，或当用户询问Polymarket数据时使用。"
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---
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# Polymarket
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Query prediction market data from Polymarket's public API (no auth required).
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## Quick Start
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```bash
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# Top markets by 24h volume
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python3 scripts/polymarket.py --top
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# Search markets
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python3 scripts/polymarket.py --search "trump"
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# Get specific market by slug
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python3 scripts/polymarket.py --slug "will-trump-win-the-2024-election"
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# List events (grouped markets)
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python3 scripts/polymarket.py --events
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```
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## Script Location
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`skills/polymarket/scripts/polymarket.py`
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## API Endpoints
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The script uses `gamma-api.polymarket.com`:
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- `/markets` - Individual markets with prices, volumes
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- `/events` - Event groups containing related markets
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## Output Format
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Markets show: question, Yes/No prices (as percentages), 24h volume, total volume.
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## Interpreting Prices
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- `outcomePrices` are 0-1 representing probability
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- Price of 0.65 for "Yes" = market thinks 65% chance of Yes
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- Higher volume = more liquid, more reliable signal
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_meta.json
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_meta.json
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{
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"ownerId": "kn7caxjvqk9fengp67p290smnn800sv9",
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"slug": "polymarket-api",
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"version": "1.0.0",
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"publishedAt": 1769515386284
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}
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scripts/polymarket.py
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scripts/polymarket.py
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#!/usr/bin/env python3
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"""Query Polymarket prediction markets via public API."""
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import argparse
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import json
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import urllib.request
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import urllib.parse
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from typing import Optional
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BASE_URL = "https://gamma-api.polymarket.com"
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def fetch(endpoint: str, params: dict = None) -> list | dict:
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"""Fetch from Polymarket API."""
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url = f"{BASE_URL}{endpoint}"
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if params:
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url += "?" + urllib.parse.urlencode(params)
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req = urllib.request.Request(url, headers={
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"User-Agent": "Mozilla/5.0 (compatible; polymarket-skill/1.0)",
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"Accept": "application/json"
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})
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with urllib.request.urlopen(req, timeout=15) as resp:
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return json.loads(resp.read())
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def format_market(m: dict) -> str:
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"""Format a single market for display."""
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q = m.get("question", "Unknown")[:80]
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prices = json.loads(m.get("outcomePrices", '["0","0"]'))
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yes_pct = float(prices[0]) * 100 if prices else 0
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no_pct = float(prices[1]) * 100 if len(prices) > 1 else 0
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vol24h = m.get("volume24hr", 0) or 0
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vol_total = m.get("volumeNum", 0) or 0
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closed = "🔒" if m.get("closed") else ""
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return f"{closed}{q}\n Yes: {yes_pct:.1f}% | No: {no_pct:.1f}% | 24h: ${vol24h:,.0f} | Total: ${vol_total:,.0f}"
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def top_markets(limit: int = 10) -> None:
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"""Show top markets by 24h volume."""
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markets = fetch("/markets", {
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"active": "true",
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"closed": "false",
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"limit": limit,
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"order": "volume24hr",
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"ascending": "false"
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})
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print(f"📈 Top {len(markets)} Markets by 24h Volume\n")
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for m in markets:
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print(format_market(m))
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print()
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def search_markets(query: str, limit: int = 10) -> None:
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"""Search markets by text."""
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# The API doesn't have a search param, so we fetch more and filter
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markets = fetch("/markets", {
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"active": "true",
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"closed": "false",
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"limit": 100,
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"order": "volume24hr",
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"ascending": "false"
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})
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query_lower = query.lower()
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matches = [m for m in markets if query_lower in m.get("question", "").lower()
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or query_lower in m.get("description", "").lower()][:limit]
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if not matches:
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print(f"No markets found matching '{query}'")
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return
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print(f"🔍 Markets matching '{query}'\n")
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for m in matches:
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print(format_market(m))
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print()
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def get_market(slug: str) -> None:
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"""Get a specific market by slug."""
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markets = fetch("/markets", {"slug": slug})
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if not markets:
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print(f"No market found with slug: {slug}")
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return
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m = markets[0]
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print(f"📊 {m.get('question', 'Unknown')}\n")
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prices = json.loads(m.get("outcomePrices", '["0","0"]'))
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outcomes = json.loads(m.get("outcomes", '["Yes","No"]'))
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for i, (outcome, price) in enumerate(zip(outcomes, prices)):
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pct = float(price) * 100
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print(f" {outcome}: {pct:.1f}%")
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print(f"\n 24h Volume: ${m.get('volume24hr', 0):,.0f}")
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print(f" Total Volume: ${m.get('volumeNum', 0):,.0f}")
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print(f" Liquidity: ${m.get('liquidityNum', 0):,.0f}")
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print(f" Status: {'Closed' if m.get('closed') else 'Open'}")
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if m.get("endDate"):
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print(f" End Date: {m.get('endDate')[:10]}")
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if m.get("description"):
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desc = m.get("description", "")[:500]
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print(f"\n {desc}{'...' if len(m.get('description', '')) > 500 else ''}")
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def list_events(limit: int = 10) -> None:
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"""List top events (grouped markets)."""
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events = fetch("/events", {
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"active": "true",
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"closed": "false",
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"limit": limit,
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"order": "volume24hr",
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"ascending": "false"
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})
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print(f"📅 Top {len(events)} Events\n")
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for e in events:
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title = e.get("title", "Unknown")[:70]
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vol = e.get("volume", 0) or 0
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markets_count = len(e.get("markets", []))
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print(f"• {title}")
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print(f" Volume: ${vol:,.0f} | Markets: {markets_count}")
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print()
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def main():
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parser = argparse.ArgumentParser(description="Query Polymarket prediction markets")
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parser.add_argument("--top", action="store_true", help="Show top markets by 24h volume")
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parser.add_argument("--search", "-s", type=str, help="Search markets by text")
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parser.add_argument("--slug", type=str, help="Get market by slug")
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parser.add_argument("--events", "-e", action="store_true", help="List top events")
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parser.add_argument("--limit", "-n", type=int, default=10, help="Number of results")
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parser.add_argument("--json", action="store_true", help="Output raw JSON")
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args = parser.parse_args()
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if args.json:
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if args.search:
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data = fetch("/markets", {"active": "true", "closed": "false", "limit": 100})
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data = [m for m in data if args.search.lower() in m.get("question", "").lower()][:args.limit]
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elif args.slug:
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data = fetch("/markets", {"slug": args.slug})
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elif args.events:
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data = fetch("/events", {"active": "true", "closed": "false", "limit": args.limit})
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else:
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data = fetch("/markets", {"active": "true", "closed": "false", "limit": args.limit, "order": "volume24hr", "ascending": "false"})
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print(json.dumps(data, indent=2))
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return
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if args.search:
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search_markets(args.search, args.limit)
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elif args.slug:
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get_market(args.slug)
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elif args.events:
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list_events(args.limit)
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else:
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top_markets(args.limit)
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if __name__ == "__main__":
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main()
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