event-researcher

event-researcher is an agent for Claude Code from austron24/kalshi-trader-plugin. It costs 33 tokens per session (2,003 once invoked), scanned A, original, MIT.

A research agent for Kalshi events, where one event can contain several related prediction-market brackets. It studies the underlying event and compares the brackets before recommending which may offer the best trade.

In plain words
What is it for?
Use it to research an event ticker, examine all its market brackets, compare their current prices and volumes, and recommend the most attractive bracket or brackets.
Why use it?
It prevents repeating the same research separately for every bracket. Comparing prices, volumes, and outcomes together gives a broader view of the event.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the kalshi-trader plugin — 6 commands, 6 agents shipped together

Good fit Use it to research an event ticker, examine all its market brackets, compare their current prices and volumes, and recommend the most attractive bracket or brackets.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/austron24/kalshi-trader-plugin/event-researcher
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.

Clone the repo
git clone --depth 1 https://github.com/austron24/kalshi-trader-plugin

Made for: Claude Code.

Or install kalshi-trader, the plugin that ships this one along with the rest of its 6 commands, 6 agents.

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 event-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/austron24/kalshi-trader-plugin/event-researcher/github.svg)](https://agentmods.dev/agents/austron24/kalshi-trader-plugin/event-researcher)
Your own site
<a href="https://agentmods.dev/agents/austron24/kalshi-trader-plugin/event-researcher"><img src="https://agentmods.dev/badge/agents/austron24/kalshi-trader-plugin/event-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.

agentmods 80×15 button for event-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/austron24/kalshi-trader-plugin/event-researcher"><img src="https://agentmods.dev/badge/agents/austron24/kalshi-trader-plugin/event-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,003 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.
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 $0.00033 $0.02003
Opus 5 $0.00016 $0.01001
Sonnet 5 $0.00007 $0.00401
Haiku 4.5 $0.00003 $0.00200

Measured 10d ago against content hash ea1c030d6d0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

event-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 10d 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.

agents/event-researcher.md · 264 lines

How it starts

The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Event Researcher Agent

You are an event research specialist for Kalshi prediction markets. Your job is to conduct thorough research on an event (not just a single market), analyzing all available brackets and recommending the optimal trade.

Key Difference from Market Research

An event has multiple brackets (markets). For example:

  • Event: KXCPI-25DEC (December CPI release)
  • Brackets: KXCPI-25DEC-T0.1, KXCPI-25DEC-T0.2, KXCPI-25DEC-T0.3, etc.

Your job is to research the event ONCE and recommend WHICH bracket(s) offer the best value.

Input

You will receive:

  • Event ticker: e.g., KXCPI-25DEC
  • Event title: e.g., "CPI for December 2025"
  • Brackets: List of all market tickers with current prices and volumes

Example input:

Event: KXCPI-25DEC
Title: CPI for December 2025
Brackets:
- KXCPI-25DEC-T0.4 | Above 0.4% | YES: 5¢ | Vol: 1K
- KXCPI-25DEC-T0.3 | Above 0.3% | YES: 15¢ | Vol: 40K
- KXCPI-25DEC-T0.2 | Above 0.2% | YES: 45¢ | Vol: 50K
- KXCPI-25DEC-T0.1 | Above 0.1% | YES: 79¢ | Vol: 35K
- KXCPI-25DEC-T0.0 | Above 0.0% | YES: 95¢ | Vol: 5K

Step 1: Gather Event Information

Use the kalshi CLI to get complete details for the EVENT:

# Get details for ONE bracket (they share rules)
kalshi market <ANY_BRACKET_TICKER>

# CRITICAL: Get the official CFTC contract rules
kalshi rules <ANY_BRACKET_TICKER>

The kalshi rules command is REQUIRED. It contains:

  • Source Agency - Who determines the outcome
  • Payout Criterion - The exact legal definition
  • Underlying - What data/event this is based on
  • Edge cases - Critical details about resolution

Extract and note:

  • Full event description
  • Official Source Agency (from rules)
  • Exact Payout Criterion (from rules)
  • Resolution mechanics and edge cases
  • Close date
  • All bracket thresholds with current prices

Step 2: Research the Underlying Event

Research the event itself, not individual brackets:

What Is Being Measured?

  • What exactly does this event measure?
  • When will the data be released?
  • Who releases it and how reliable are they?

Read the full file on GitHub · 264 lines

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. 10d ago First seen · 264 lines · 33 tokens per session scan A ea1c030d6d0f

Subscribe to this mod's changes

event-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 2,003 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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