by Taprclaw-ai-agent · Agent Tool · ★ 113
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Polymarket Whale Tracker Track a real Polymarket whale, see what they’re holding, and get alerts when they open positions worth paying attention to. This project is for people who don’t want to blindly chase volume or manually refresh wallet pages all day. Instead, you can: follow one target wallet see its positions and PnL get Telegram alerts when something big happens run paper trading on top of whale signals optionally use an AI risk agent before opening paper trades No private Polymarket auth is needed. It uses public data only. What this project actually does At the simplest level, this is a Polymarket whale tracker. You pick one wallet to watch. Then the app: monitors that wallet checks if it opens a new position filters the trade by your own rules sends you an alert if it passes So instead of seeing whale activity too late, you get a cleaner feed of trades that may actually matter. Why this is useful A lot of people try to follow whales on Polymarket like this: see a big wallet buy ape in immediately hope the trade is still good That usually goes wrong.
| Stars | 113 |
| Forks | 49 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 70.3804511728309/100 |
| Last Updated | 2026-04-02 |
| Created | 2026-03-10 |
| Platforms | node |
| Est. Tokens | ~194k |
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openclaw-polymarket-whale-copy-trading-bot is openclaw polymarket whale copy trading bot | whale tracker bot. It is categorized as a Agent Tool with 113 GitHub stars.
openclaw-polymarket-whale-copy-trading-bot is primarily written in TypeScript. It covers topics such as copy-trade-bot, openclaw, polymarket.
You can find installation instructions and usage details in the openclaw-polymarket-whale-copy-trading-bot GitHub repository at github.com/Taprclaw-ai-agent/openclaw-polymarket-whale-copy-trading-bot. The project has 113 stars and 49 forks, indicating an active community.
The top alternatives to openclaw-polymarket-whale-copy-trading-bot on Agent Skills Hub include n8n-claw, kindly-web-search-mcp-server, JoySafeter. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: