A source of sports background information from TheSportsDB, a free sports database. It provides details about teams, players, stadiums, leagues, logos, badges, and photos across more than 100 leagues.

Use it to find team logos and information, player photos and profiles, stadium details, league information, and team or player search results.

It removes the need to search separately for sports images and basic team or player facts. It can also help resolve which team or player a name refers to.

metadata — 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 metadata

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/metadata/github.svg)](https://agentmods.dev/skills/machina-sports/sports-skills/metadata)

Your own site

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

Per session 236 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,057 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 30 Sept 2026
Snyk pass 30 Sept 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.

Model	Per session	Once invoked
Fable 5.1	$0.00236	$0.02057
Opus 5.5	$0.00094	$0.00823
Sonnet 5.5	$0.00047	$0.00411
Haiku 4.5	$0.00024	$0.00206

Measured 9d ago against content hash e2950e903047, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

metadata 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/metadata/SKILL.md · 168 lines

How it starts

The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sports Metadata

Wraps the free TheSportsDB API for team logos, player photos, and stadium info. No API key, no signup.

Quick Start

sports-skills metadata get_team_logo --team_name="Arsenal"
sports-skills metadata get_team_info --team_name="Real Madrid"
sports-skills metadata get_player_photo --player_name="Messi"
sports-skills metadata search_teams --query="Manchester"
sports-skills metadata search_players --query="LeBron"

Python SDK:

from sports_skills import metadata

metadata.get_team_logo(team_name="Arsenal")
metadata.get_team_info(team_name="Real Madrid")
metadata.get_player_photo(player_name="Messi")
metadata.search_teams(query="Manchester")
metadata.search_players(query="LeBron")

CRITICAL: Before Any Query

CRITICAL: Before calling any metadata command, verify:

Team names use the full official name — especially for NBA (e.g., "Los Angeles Lakers", not "Lakers").
For get_team_logo, the sport parameter defaults to "Soccer". Pass sport="Basketball", "American Football", "Baseball", "Ice Hockey", "Motorsport", or "Cricket" when the team is not a soccer team — otherwise the lookup falls back to a close name match in any sport. If no result is close to the requested name, it returns an error listing what TheSportsDB offered.
Player searches use just the player name (e.g., "Messi", "LeBron James", "Tiger Woods").

Coverage

Teams (logos, banners, stadium info):

Soccer: 100+ leagues worldwide (Premier League, La Liga, Bundesliga, Serie A, MLS, and many more)
NFL (American Football)
NBA (Basketball) — requires full team names
MLB (Baseball)
NHL (Ice Hockey)
F1 (Motorsport)
Cricket (IPL, international)

Players (photos, bios):

All team sports above
Tennis (ATP/WTA players)
Golf (PGA/LPGA players)

Not covered: MMA/UFC, Rugby, Esports, Boxing.

Commands

Command	Required	Optional	Description
`get_team_logo`	team_name	sport	Team logo / badge URL
`get_team_info`	team_name		Full team info: stadium, description, social links, banner
`get_player_photo`	player_name		Player photo URL
`search_teams`	query		Fuzzy search for teams across sports
`search_players`	query		Fuzzy search for players across sports

Read the full file on GitHub · 168 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 · +19 lines e2950e903047
1mo ago Changed · +4 lines 3f20d6955120
1mo ago Changed · +4 lines 74e968b04e95
2mo ago First seen · 141 lines · 236 tokens per session scan A 9413a3fda991

Subscribe to this mod's changes

metadata is a skill published in the GitHub repository machina-sports/sports-skills (264 stars, last pushed yesterday), licensed MIT. It adds 236 tokens to every session and 2,057 once invoked, about $0.0009 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.

Research

metadata next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
metadatamachina-sports/sports-skills	Skill	264	yesterday	MIT	A	236	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