prediction-markets-analysis

prediction-markets-analysis is a skill for Claude Code from OctagonAI/octagon-mcp-server. It costs 39 tokens per session (437 once invoked), scanned A, original, MIT.

A research tool for Kalshi prediction markets, where people trade contracts tied to the likelihood of future events.

In plain words
What is it for?
It creates reports about individual Kalshi markets and retrieves historical event data for analysis.
Why use it?
It organizes market information and past changes in market probabilities instead of requiring manual review of each snapshot.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the octagon-mcp-server plugin — 7 skills, 1 agent, 1 hook shipped together

Good fit It creates reports about individual Kalshi markets and retrieves historical event data for analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/octagonai/octagon-mcp-server/prediction-markets-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add OctagonAI/octagon-mcp-server --skill prediction-markets-analysis
Clone the repo
git clone --depth 1 https://github.com/OctagonAI/octagon-mcp-server

Made for: Claude Code.

Or install octagon-mcp-server, the plugin that ships this one along with the rest of its 7 skills, 1 agent, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for prediction-markets-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/octagonai/octagon-mcp-server/prediction-markets-analysis/github.svg)](https://agentmods.dev/skills/octagonai/octagon-mcp-server/prediction-markets-analysis)
Your own site
<a href="https://agentmods.dev/skills/octagonai/octagon-mcp-server/prediction-markets-analysis"><img src="https://agentmods.dev/badge/skills/octagonai/octagon-mcp-server/prediction-markets-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for prediction-markets-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/octagonai/octagon-mcp-server/prediction-markets-analysis"><img src="https://agentmods.dev/badge/skills/octagonai/octagon-mcp-server/prediction-markets-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 437 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.00437
Opus 5 $0.00019 $0.00218
Sonnet 5 $0.00008 $0.00087
Haiku 4.5 $0.00004 $0.00044

Measured 12d ago against content hash 86670fcfe0e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

prediction-markets-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/prediction-markets-analysis/SKILL.md · 73 lines

What it actually says

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

Generate a report for the Kalshi market <KALSHI_URL>.

For structured history retrieval:

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

MCP calls

Report generation:

{
  "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:

{
  "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."
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 73 lines · 39 tokens per session scan A 86670fcfe0e3

Subscribe to this mod's changes

prediction-markets-analysis is a skill published in the GitHub repository OctagonAI/octagon-mcp-server (147 stars, last pushed 2mo ago), licensed MIT. It adds 39 tokens to every session and 437 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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