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/event-researcher)<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.
<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>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 | $0.02003 |
| Opus 5 | $0.00016 | $0.01001 |
| Sonnet 5 | $0.00007 | $0.00401 |
| Haiku 4.5 | $0.00003 | $0.00200 |
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.
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?
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.
- 10d ago First seen · 264 lines · 33 tokens per session scan A ea1c030d6d0f
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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