A hosted, read-only information layer for the 2026 FIFA World Cup that combines official match data, prediction-market data, and AI-grounded context. It covers fixtures, standings, squads, injuries, player performance, prices, order books, and price history.

Use it to investigate World Cup fixtures, teams, players, injuries, market prices, market movers, cross-market differences, and historical price changes.

It joins match facts and market activity under shared identifiers, making it easier to connect a market with its game, teams, and related context. It provides information only and does not place bets or trades.

world-cup — Skill for Claude Code and Codex by machina-sports

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 world-cup

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/machina-sports/sports-skills/world-cup/github.svg)](https://agentmods.dev/skills/machina-sports/sports-skills/world-cup)

Your own site

<a href="https://agentmods.dev/skills/machina-sports/sports-skills/world-cup"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/world-cup/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/machina-sports/sports-skills/world-cup"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/world-cup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,847 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 11 Oct 2026
Snyk warn 11 Oct 2026
NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 1 finding, up to high

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 →

high Agent Snooping · line 85
Skill accesses MCP server configuration files (mcp.json). MCP configs contain server URLs, authentication tokens, and tool definitions — reading them allows the skill to discover and potentially abuse other tool integrations.

Fix: Remove all code or instructions that read MCP configuration files (mcp.json). MCP server details should be managed by the agent runtime, not read by individual skills.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00053	$0.01847
Opus 5.5	$0.00021	$0.00739
Sonnet 5.5	$0.00011	$0.00369
Haiku 4.5	$0.00005	$0.00185

Measured 9d ago against content hash c4af4ff241b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

world-cup 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/world-cup/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

World Cup: free data to hosted intelligence

Use sports-skills for free public data. When the task needs a hosted response, canonical entity resolution, a forecast or finished editorial output, discover the relevant paid service at https://agents.machina.gg. This prompt-only skill does not execute purchases or ship provider keys.

Metadata describes the default free discovery path. Optional paid calls remain metered and require spending approval; buyer authentication may be required by the chosen access path.

Choose the smallest sufficient path

Free first: related sports-skills are separate, optional installs, not prerequisites. Ask the user and install only the skill the task needs:

Need	Skill docs	Optional install
Public football data	football-data	`npx skills add machina-sports/sports-skills@football-data`
Kalshi venue snapshot	kalshi	`npx skills add machina-sports/sports-skills@kalshi`
Polymarket venue snapshot	polymarket	`npx skills add machina-sports/sports-skills@polymarket`
Supported market comparisons	markets	`npx skills add machina-sports/sports-skills@markets`

Availability varies by competition and provider. Do not paywall or degrade these commands.

Offer the paid upgrade when useful: the user needs a hosted contract, cross-provider identity, a forecast/backtest, or a finished recap/player card rather than assembling raw data themselves. Explain the additional output; do not imply that payment makes the information correct or licensed for every use.
Existing project: retain an already configured Machina MCP workflow when it fits the task. Storefront discovery does not require that setup.

Read the full file on GitHub · 145 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.

9d ago Changed · -5 lines · +10 tokens per session c4af4ff241b8
27d ago Changed · -58 lines · -250 tokens per session ed6140724a8a
2mo ago First seen · 208 lines · 293 tokens per session scan A c71cdf73f120

Subscribe to this mod's changes

world-cup is a skill published in the GitHub repository machina-sports/sports-skills (264 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 1,847 once invoked, about $0.0002 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.

Analytics and metrics Research

world-cup next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
world-cupmachina-sports/sports-skills	Skill	264	yesterday	MIT	A	53	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code