kalshi-crypto-index-markets

kalshi-crypto-index-markets is a skill for Claude Code from agiprolabs/claude-trading-skills. It costs 65 tokens per session (1,951 once invoked), scanned A, original, MIT.

A guide to Kalshi markets that pay based on daily or hourly price ranges for Bitcoin, Ethereum, the S&P 500, and the Nasdaq-100.

In plain words
What is it for?
Use it to interpret market brackets, model the chance of prices landing in each range, compare contract prices, and choose decision timing.
Why use it?
It explains how these range contracts work and how to turn price and volatility estimates into probabilities for evaluating trades.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the trading-skills plugin — 68 skills shipped together

Good fit Use it to interpret market brackets, model the chance of prices landing in each range, compare contract prices, and choose decision timing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agiprolabs/claude-trading-skills/kalshi-crypto-index-markets
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 agiprolabs/claude-trading-skills --skill kalshi-crypto-index-markets
Clone the repo
git clone --depth 1 https://github.com/agiprolabs/claude-trading-skills

Made for: Claude Code.

Or install trading-skills, the plugin that ships this one along with the rest of its 68 skills.

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 kalshi-crypto-index-markets

README.md
[![agentmods](https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/kalshi-crypto-index-markets/github.svg)](https://agentmods.dev/skills/agiprolabs/claude-trading-skills/kalshi-crypto-index-markets)
Your own site
<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/kalshi-crypto-index-markets"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/kalshi-crypto-index-markets/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 kalshi-crypto-index-markets

Your own site · 80×15
<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/kalshi-crypto-index-markets"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/kalshi-crypto-index-markets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,951 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium analysis-evasion · line 1
    Suspicious Unicode normalization or mixed-script content
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 $0.00065 $0.01951
Opus 5 $0.00032 $0.00975
Sonnet 5 $0.00013 $0.00390
Haiku 4.5 $0.00006 $0.00195

Measured 13d ago against content hash 822a1967bd3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

kalshi-crypto-index-markets 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 13d 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/kalshi-crypto-index-markets/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kalshi Crypto & Index Range Markets

Kalshi lists daily (and for crypto, hourly) range bracket markets on the level of four liquid underlyings: S&P 500, Nasdaq-100, Bitcoin, and Ethereum. The math is the same partition-and-Gaussian framework as weather brackets — the variable is just price/return and σ comes from the underlying's realized or implied volatility, not a temperature model.

Cross-references: for Kalshi API mechanics see kalshi-api; for the strategy, sizing, and backtesting framework see prediction-market-strategy; for the temperature counterpart see kalshi-weather-markets; for the shared bracket/overround formulas see prediction-markets/references/brackets-and-settlement.md.


Series & Market-Type Mapping

SERIES_MARKET = {
    "KXINX":       "index",   # S&P 500 index level
    "KXNASDAQ100": "index",   # Nasdaq-100 index level
    "KXBTC":       "crypto",  # Bitcoin price (USD)
    "KXETH":       "crypto",  # Ethereum price (USD)
}
  • market_type = "index" — daily range only; underlying is the index points level at the official market close.
  • market_type = "crypto" — daily and hourly range markets; BTC and ETH each have multiple hourly events running in parallel with the daily.

Cadence is higher than weather: crypto hourlies open and settle throughout the day; daily markets open the prior session and settle at the reference close.


Bracket Structure

Each event is a mutually exclusive, collectively exhaustive partition of the underlying's possible values at settlement:

  • An interior bracket B<center> covers a contiguous price band (floor to cap, both-ends-inclusive). Bracket widths are set per-market — read the event's market list; do not assume a fixed width.
  • Two open-tail markets anchor the partition: a less-than (below the lowest bracket floor) and a greater-than (above the highest bracket cap).
  • At settlement exactly one bracket is YES; all others are NO.

The overround (sum of all YES prices) is typically > 1.0. The excess is concentrated in the cheap tails — the same favorite–longshot bias seen in weather markets. See prediction-markets/references/brackets-and-settlement.md for the overround formula.

Read the full file on GitHub · 146 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 13d ago First seen · 146 lines · 65 tokens per session scan A 822a1967bd3e

Subscribe to this mod's changes

kalshi-crypto-index-markets is a skill published in the GitHub repository agiprolabs/claude-trading-skills (356 stars, last pushed 9d ago), licensed MIT. It adds 65 tokens to every session and 1,951 once invoked, about $0.0003 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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