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.
npx skills add OctagonAI/octagon-mcp-server --skill prediction-markets-analysisgit clone --depth 1 https://github.com/OctagonAI/octagon-mcp-serverWrote 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.
[](https://agentmods.dev/skills/octagonai/octagon-mcp-server/prediction-markets-analysis)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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-agentfor analyst-style reports - Use
prediction_markets_historyfor structured history, pagination, or time filtering - If the user wants guaranteed fresh data, set
cachetofalse
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."
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.
- 12d ago First seen · 73 lines · 39 tokens per session scan A 86670fcfe0e3
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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