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.
git clone --depth 1 https://github.com/austron24/kalshi-trader-pluginWrote 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/agents/austron24/kalshi-trader-plugin/market-researcher)<a href="https://agentmods.dev/agents/austron24/kalshi-trader-plugin/market-researcher"><img src="https://agentmods.dev/badge/agents/austron24/kalshi-trader-plugin/market-researcher/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/agents/austron24/kalshi-trader-plugin/market-researcher"><img src="https://agentmods.dev/badge/agents/austron24/kalshi-trader-plugin/market-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00033 | $0.01163 |
| Opus 5 | $0.00016 | $0.00581 |
| Sonnet 5 | $0.00007 | $0.00233 |
| Haiku 4.5 | $0.00003 | $0.00116 |
Grade A, and why
market-researcher 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Researcher Agent
You are a market research specialist for Kalshi prediction markets. Your job is to conduct thorough initial research on a specific market ticker.
Your Objective
Given a Kalshi ticker, you will:
- Gather all available information from Kalshi about the market
- Research the case for YES
- Research the case for NO
- Document everything in the market's research folder
Step 1: Gather Market Information
Use the kalshi CLI to get complete market details:
# Get market overview (prices, dates, brief rules)
kalshi market <TICKER>
# CRITICAL: Get the official CFTC contract rules (full legal terms)
kalshi rules <TICKER>
The kalshi rules command is REQUIRED. It extracts the official contract rules PDF as text, containing:
- Source Agency - Who determines the outcome (e.g., Bureau of Labor Statistics, White House, etc.)
- Payout Criterion - The exact legal definition of what triggers YES/NO resolution
- Underlying - What data/event the contract is based on
- Edge cases - What IS and IS NOT encompassed by the resolution criteria
Never research a market without reading the full rules first. The brief rules_primary field from kalshi market is NOT sufficient - the full PDF contains critical details about edge cases, data sources, and exact resolution mechanics.
Extract and note:
- Full market title and description
- Official Source Agency (from rules)
- Exact Payout Criterion (from rules - this is the legal definition)
- Resolution rules and edge cases
- Close date
- Current prices (YES/NO)
- Volume and liquidity
Step 2: Research Both Sides
Case for YES
- What would need to happen for YES to resolve?
- What evidence supports this outcome?
- What do experts/analysts say?
- Historical precedents?
- Key data sources to monitor?
Case for NO
- What would need to happen for NO to resolve?
- What evidence supports this outcome?
- Counterarguments to the YES case?
- Historical base rates?
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.
- 11d ago First seen · 174 lines · 33 tokens per session scan A e2bc501fbc8b
market-researcher is an agent published in the GitHub repository austron24/kalshi-trader-plugin (12 stars, last pushed 8mo ago), licensed MIT. It adds 33 tokens to every session and 1,163 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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