markets

markets is a skill for Claude Code, Codex from machina-sports/sports-skills. It costs 140 tokens per session (3,944 once invoked), scanned A, original, MIT.

A tool that connects sports schedules from ESPN with prediction markets on Kalshi and Polymarket. It matches games and market listings so they can be viewed together.

In plain words
What is it for?
Use it to find today's markets, search for teams or players, compare odds, retrieve sport schedules, match markets to games, normalize prices, and inspect market prices or history.
Why use it?
Sports schedules and prediction-market data normally use different identifiers and price formats. This tool helps find the corresponding event and compare information across sources.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to find today's markets, search for teams or players, compare odds, retrieve sport schedules, match markets to games, normalize prices, and inspect market prices or history.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/machina-sports/sports-skills/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 machina-sports/sports-skills --skill markets
Clone the repo
git clone --depth 1 https://github.com/machina-sports/sports-skills

Made for: Claude Code, Codex.

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 markets

README.md
[![agentmods](https://agentmods.dev/badge/skills/machina-sports/sports-skills/markets/github.svg)](https://agentmods.dev/skills/machina-sports/sports-skills/markets)
Your own site
<a href="https://agentmods.dev/skills/machina-sports/sports-skills/markets"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/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 markets

Your own site · 80×15
<a href="https://agentmods.dev/skills/machina-sports/sports-skills/markets"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/markets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,944 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
  • Socket pass 24 Oct 2026
  • Snyk warn 24 Oct 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00140 $0.03944
Opus 5.5 $0.00056 $0.01578
Sonnet 5.5 $0.00028 $0.00789
Haiku 4.5 $0.00014 $0.00394

Measured 9d ago against content hash 9aefff9b4cd5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 9d 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/markets/SKILL.md · 211 lines

How it starts

The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Markets Orchestration

Bridges ESPN live schedules (NBA, NFL, MLB, NHL, WNBA, CFB, CBB) with Kalshi and Polymarket prediction markets. Before writing queries, consult references/api-reference.md for supported sport codes, command parameters, and price normalization formats.

Quick Start

sports-skills markets get_todays_markets --sport=nba
sports-skills markets search_entity --query="Lakers" --sport=nba
sports-skills markets compare_odds --sport=nba --event_id=401234567
sports-skills markets compare_market_url --url=https://polymarket.com/event/nfl-sf-sea-2026-10-11
sports-skills markets get_sport_markets --sport=nfl
sports-skills markets get_sport_schedule --sport=nba
sports-skills markets normalize_price --price=0.65 --source=polymarket
sports-skills markets evaluate_market --sport=nba --event_id=401234567 --fee_per_contract=<verified fee>
sports-skills markets match_markets --sport=mlb --date=2026-06-06
sports-skills markets get_market_price --venue=kalshi --ticker=KXMENWORLDCUP-26-FR
sports-skills markets get_price_history --venue=kalshi --ticker=KXMENWORLDCUP-26-FR --interval=1d

Python SDK:

from sports_skills import markets

markets.get_todays_markets(sport="nba")
markets.search_entity(query="Lakers", sport="nba")
markets.compare_odds(sport="nba", event_id="401234567")
markets.compare_market_url(url="https://kalshi.com/markets/kxnflgame/sf-vs-sea/kxnflgame-26oct11sfsea")
markets.get_sport_markets(sport="nfl")
markets.get_sport_schedule(sport="nba", date="2025-02-26")
markets.normalize_price(price=0.65, source="polymarket")
markets.evaluate_market(sport="nba", event_id="401234567", fee_per_contract=fee)  # fee: verified (user-stated or documented venue fee)
markets.match_markets(sport="mlb", date="2026-06-06")
markets.get_market_price(venue="kalshi", ticker="KXMENWORLDCUP-26-FR", at_time="2026-05-01T12:00:00+00:00")
markets.get_price_history(venue="polymarket", token_id="<token_id>", interval="1h")

CRITICAL: Before Any Query

Read the full file on GitHub · 211 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. 9d ago Changed · +19 lines 9aefff9b4cd5
  2. 14d ago Changed · +1 lines 8a57383e066b
  3. 27d ago Changed · +17 lines 529a80f4b732
  4. 1mo ago Changed · +3 lines 854178965011
  5. 2mo ago First seen · 171 lines · 140 tokens per session scan A 8c046c258e9b

Subscribe to this mod's changes

markets is a skill published in the GitHub repository machina-sports/sports-skills (264 stars, last pushed yesterday), licensed MIT. It adds 140 tokens to every session and 3,944 once invoked, about $0.0006 per session on Opus 5.5. 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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markets compared with skills from other repositories

markets next to 6 skills from other repositories
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