by lorine93s · Agent Tool · ★ 165
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Polymarket AI market suggestor that blends real-time news, social sentiment, and on-chain trends to propose new prediction markets with LLM reasoning, analytics, and CLI tooling.
| Stars | 165 |
| Forks | 132 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 57.0759426788749/100 |
| Open Issues | 1 |
| Last Updated | 2025-11-13 |
| Created | 2025-11-13 |
| Platforms | cli, python |
| Est. Tokens | ~1k |
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polymarket-ai-market-suggestor is Polymarket AI market suggestor that blends real-time news, social sentiment, and on-chain trends to propose new prediction markets with LLM reasoning, analytics, and CLI tooling.. It is categorized as a Agent Tool with 165 GitHub stars.
polymarket-ai-market-suggestor is primarily written in Python. It covers topics such as ai-agent, ai-suggestor, cli-tool.
You can find installation instructions and usage details in the polymarket-ai-market-suggestor GitHub repository at github.com/lorine93s/polymarket-ai-market-suggestor. The project has 165 stars and 132 forks, indicating an active community.
The top alternatives to polymarket-ai-market-suggestor on Agent Skills Hub include Awesome-Prediction-Market-Tools, wcgw, polymarket-tennis. 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.
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