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Skills/machina-sports/sports-skills/kalshi
kalshi logo

kalshi

machina-sports/sports-skills
526 installs143 stars
Run it on Hostinger, 20% off →Your friend gets 20% off too, using this linkFree API →|Prompt Injection|View on GitHub|Create your own skill →

Installation

npx skills add https://github.com/machina-sports/sports-skills --skill kalshi

Summary

|

SKILL.md

Kalshi — Prediction Markets

Before writing queries, consult references/api-reference.md for sport codes, series tickers, and command parameters.

Quick Start

Prefer the CLI — it avoids Python import path issues:

sports-skills kalshi search_markets --sport=nba
sports-skills kalshi get_todays_events --sport=nba
sports-skills kalshi get_sports_config
sports-skills kalshi get_markets --series_ticker=KXNBA --status=open

Python SDK (alternative):

from sports_skills import kalshi

kalshi.search_markets(sport='nba')
kalshi.search_markets(sport='nba', query='Lakers')
kalshi.get_todays_events(sport='nba')
kalshi.get_sports_config()
kalshi.get_markets(series_ticker="KXNBA", status="open")

CRITICAL: Before Any Query

CRITICAL: Before calling any market endpoint, verify:

  • The sport parameter is always passed to search_markets and get_todays_events for single-game markets.
  • Prices are on a 0-100 integer scale (20 = 20% implied probability) — do not treat as American odds.
  • status="open" is used when querying markets to exclude settled/closed markets.

Without the sport parameter:

WRONG: search_markets(query="Leeds")           → 0 results
RIGHT: search_markets(sport='epl', query='Leeds') → returns all Leeds markets

Important Notes

  • On Kalshi, "Football" = NFL. For football/soccer (EPL, La Liga, etc.), use sport codes: epl, ucl, laliga, bundesliga, seriea, ligue1, mls, worldcup.
  • Prices are probabilities. A last_price of 20 means 20% implied probability. Scale is 0-100 (not 0-1 like Polymarket).
  • Always use status="open" when querying markets, otherwise results include settled/closed markets.
  • Shared interface with Polymarket: search_markets(sport=...), get_todays_events(sport=...), and get_sports_config() work the same way on both platforms.

Workflows

Sport Market Search (Recommended)

  1. search_markets --sport=nba — finds all open NBA markets.
  2. Optionally add --query="Lakers" to filter by keyword.
  3. Results include yes_bid, no_bid, volume for each market.

Today's Events

  1. get_todays_events --sport=nba — open events with nested markets.
  2. Present events with prices (price = implied probability, 0-100 scale).

Futures Market Check

  1. get_markets --series_ticker=<ticker> --status=open
  2. Sort by last_price descending.
  3. Present top contenders with probability and volume.

Market Price History

  1. Get market ticker from search_markets --sport=nba.
  2. get_market_candlesticks --series_ticker=<s> --ticker=<t> --start_ts=<start> --end_ts=<end> --period_interval=60
  3. Present OHLC with volume.

Commands

See references/api-reference.md for the full command list with parameters.

CommandDescription
get_sports_configAvailable sport codes and series tickers
get_todays_eventsToday's events for a sport with nested markets
search_marketsFind markets by sport and/or keyword
get_marketsMarket listing (raw API)
get_eventEvent details
get_marketMarket details
get_tradesRecent trades
get_market_candlesticksOHLC price history

Examples

Example 1: NBA market search User says: "What NBA markets are on Kalshi?" Actions:

  1. Call search_markets(sport='nba')

Result: All open NBA markets with yes/no prices and volume

Example 2: EPL game markets User says: "Show me Leeds vs Man City odds on Kalshi" Actions:

  1. Call search_markets(sport='epl', query='Leeds')

Result: Leeds EPL markets across all EPL series with prices and volume

Example 3: Today's EPL events User says: "What EPL games are available on Kalshi?" Actions:

  1. Call get_todays_events(sport='epl')

Result: Today's EPL events with nested markets

Example 4: Champions League futures User says: "Who will win the Champions League?" Actions:

  1. Call search_markets(sport='ucl') or get_markets(series_ticker="KXUCL", status="open")
  2. Sort by last_price descending (price = implied probability)

Result: Top UCL contenders with yes_sub_title, last_price (%), and volume

Example 5: Market price history User says: "Show me the price history for this NBA game" Actions:

  1. Get market ticker from search_markets(sport='nba')
  2. Call get_market_candlesticks(series_ticker="KXNBA", ticker="...", start_ts=..., end_ts=..., period_interval=60)

Result: OHLC price data with volume

Commands that DO NOT exist — never call these

  • ~~get_odds~~ — does not exist. Use search_markets or get_markets to find market prices.
  • ~~get_team_schedule~~ — does not exist. Kalshi has markets, not schedules. Use the sport-specific skill for schedules.
  • ~~get_scores~~ / ~~get_results~~ — does not exist. Kalshi is a prediction market. Use the sport-specific skill.

If a command is not listed in references/api-reference.md, it does not exist.

Troubleshooting

Error: search_markets returns 0 results Cause: The sport parameter is missing — without it, search only returns high-volume futures and misses single-game markets Solution: Always pass sport='<code>' to search_markets. Check references/api-reference.md for valid sport codes

Error: Markets returned include settled/expired contracts Cause: status parameter is not set Solution: Always pass status="open" to filter to open markets only

Error: Series ticker returns no results Cause: The series ticker may be incorrect or have no open markets Solution: Call get_series_list() to discover available tickers, or check references/series-tickers.md

Error: Football/soccer markets not found when searching "Football" Cause: On Kalshi, "Football" refers to NFL — soccer uses league-specific codes Solution: Use sport='epl', sport='ucl', sport='laliga', etc. for soccer leagues

Score

0–100
55/ 100

Grade

C

Popularity15/30

526 installs — growing adoption.

Completeness19/30

Documented: full SKILL.md body, one-line install. Missing: description, category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Kalshi skill score badge previewScore badge

Markdown

[![Kalshi skill](https://www.claudemarket.ai/skills/machina-sports/sports-skills/kalshi/badges/score.svg)](https://www.claudemarket.ai/skills/machina-sports/sports-skills/kalshi)

HTML

<a href="https://www.claudemarket.ai/skills/machina-sports/sports-skills/kalshi"><img src="https://www.claudemarket.ai/skills/machina-sports/sports-skills/kalshi/badges/score.svg" alt="Kalshi skill"/></a>

Kalshi FAQ

How do I install the Kalshi skill?

Run “npx skills add https://github.com/machina-sports/sports-skills --skill kalshi” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Kalshi skill do?

| The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Kalshi skill free?

Yes. Kalshi is a free, open-source skill published from machina-sports/sports-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Kalshi work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Kalshi works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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