skills$openclaw/prediction-trader
zbruceli1.4k

by zbruceli

prediction-trader – OpenClaw Skill

prediction-trader is an OpenClaw Skills integration for coding workflows. AI-powered prediction market analysis across Polymarket and Kalshi with social signals

1.4k stars9.3k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026coding

Skill Snapshot

nameprediction-trader
descriptionAI-powered prediction market analysis across Polymarket and Kalshi with social signals OpenClaw Skills integration.
ownerzbruceli
repositoryzbruceli/unifai-trading-suitepath: skills/prediction-trader
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @zbruceli/unifai-trading-suite:skills/prediction-trader
last updatedFeb 7, 2026

Maintainer

zbruceli

zbruceli

Maintains prediction-trader in the OpenClaw Skills directory.

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prediction-trader
scripts
trader.py
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SKILL.md
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SKILL.md

name: prediction-trader description: AI-powered prediction market analysis across Polymarket and Kalshi with social signals homepage: https://github.com/your-repo/trading user-invocable: true metadata: {"moltbot":{"emoji":"📈","requires":{"env":["UNIFAI_AGENT_API_KEY","GOOGLE_API_KEY"]},"primaryEnv":"UNIFAI_AGENT_API_KEY"}}

Prediction Trader

AI-powered prediction market analysis assistant that aggregates data from multiple platforms and social signals.

Supported Platforms

  • Polymarket: Offshore prediction market on Polygon (crypto, politics, sports, world events)
  • Kalshi: CFTC-regulated US prediction market (Fed rates, GDP, CPI, economics)

Commands

python3 {baseDir}/scripts/trader.py compare "[topic]"

Compare prediction markets across both platforms for a given topic.

Get Trending

python3 {baseDir}/scripts/trader.py trending

Get trending prediction markets from both platforms.

Analyze Topic

python3 {baseDir}/scripts/trader.py analyze "[topic]"

Full analysis including market data and social signals.

Platform-Specific

# Polymarket
python3 {baseDir}/scripts/trader.py polymarket trending
python3 {baseDir}/scripts/trader.py polymarket crypto
python3 {baseDir}/scripts/trader.py polymarket search "[query]"

# Kalshi
python3 {baseDir}/scripts/trader.py kalshi fed
python3 {baseDir}/scripts/trader.py kalshi economics
python3 {baseDir}/scripts/trader.py kalshi search "[query]"

Output Format

Results include:

  • Market question/title
  • YES/NO prices (probability)
  • Trading volume
  • Platform source
  • Resolution date (if available)

Requirements

  • UNIFAI_AGENT_API_KEY - UnifAI SDK key for Polymarket tools and social signals
  • GOOGLE_API_KEY - Gemini API key for LLM analysis

Example Usage

User: "Compare Bitcoin prediction markets"

Assistant: I'll compare Bitcoin markets across Polymarket and Kalshi.

python3 {baseDir}/scripts/trader.py compare "bitcoin"

User: "What are the Fed rate predictions?"

Assistant: Let me fetch the Federal Reserve interest rate markets from Kalshi.

python3 {baseDir}/scripts/trader.py kalshi fed

Notes

  • Polymarket data accessed via UnifAI tools (may have rate limits)
  • Kalshi data accessed via direct public API (no auth for read)
  • This tool is read-only; trading requires platform authentication
  • All prices shown as decimals (0.75 = 75% probability)
README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

- `UNIFAI_AGENT_API_KEY` - UnifAI SDK key for Polymarket tools and social signals - `GOOGLE_API_KEY` - Gemini API key for LLM analysis

FAQ

How do I install prediction-trader?

Run openclaw add @zbruceli/unifai-trading-suite:skills/prediction-trader in your terminal. This installs prediction-trader into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/zbruceli/unifai-trading-suite. Review commits and README documentation before installing.