octagonai/octagon-mcp-server/prediction-markets-analysis

Claude Code and agent skill by octagonai/octagon-mcp-server

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Generate Kalshi prediction market research reports or fetch structured event history. Use when the user mentions Kalshi, prediction markets, market probability, expected return, or event history.

Install

npx vskill@latest install octagonai/octagon-mcp-server/prediction-markets-analysis

SKILL.md

Prediction Markets Analysis

Use this skill for Kalshi event research and historical prediction market analysis.

When to use

  • The user shares a Kalshi market URL
  • The user wants a structured report on one prediction market event
  • The user wants event history across snapshots or runs

Query format

text
Generate a report for the Kalshi market <KALSHI_URL>.

For structured history retrieval:

text
Fetch historical data for the Kalshi event ticker <EVENT_TICKER>.

MCP calls

Report generation:

json
{
"server": "octagon-mcp",
"toolName": "octagon-prediction-markets-agent",
"arguments": {
"prompt": "Generate a report for the Kalshi market https://kalshi.com/markets/kxbtcy/btc-price-range-eoy/kxbtcy-27jan0100"
}
}

Structured history:

json
{
"server": "octagon-mcp",
"toolName": "prediction_markets_history",
"arguments": {
"event_ticker": "KXBTCY-27JAN0100",
"limit": 50,
"include_analysis": true
}
}

Tool selection rules

  • Use octagon-prediction-markets-agent for analyst-style reports
  • Use prediction_markets_history for structured history, pagination, or time filtering
  • If the user wants guaranteed fresh data, set cache to false

Output expectations

  • Compare model probability to market probability
  • Highlight edge, expected return, and risk factors
  • Surface missing Kalshi URL immediately when absent

Follow-up prompts

  • "Refresh the report instead of using cache."
  • "Show the event history with analysis included."
  • "Summarize the largest drivers of divergence between model and market."

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
132
Repository forks
23
7-day trend score
24

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