Awesome-Prediction-Market-Tools: A curated list of Prediction Market Tools - AI Agents, Analytics, APIs, Dashboards, Copy Trading, Alerting

by aarora4 · Agent Tool · ★ 766

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 57/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsawesome-listawesome-readmekalshipolymarketprediction-marketprediction-markets

Quick Facts

Stars766
Forks266
CategoryAgent Tool
Quality Score57/100
Open Issues145
Last Updated2026-10-07
Created2025-11-30
Est. Tokens~16k

About Awesome-Prediction-Market-Tools

Awesome Prediction Market Tools The most complete, community-maintained directory of prediction market tools — analytics platforms, trading bots, dashboards, APIs, data feeds, alert systems, educational resources, and more. Covering Polymarket, Kalshi, Manifold, Hyperliquid, and the wider forecasting ecosystem.

Compatible Skills

These tools work well together with Awesome-Prediction-Market-Tools for enhanced workflows:

Awesome-Prediction-Market-Tools alternative? Top 6 similar tools

Looking for a Awesome-Prediction-Market-Tools alternative? If you're comparing Awesome-Prediction-Market-Tools with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • polymarket-tennis by livetennisapi · ⭐ 280

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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