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.
npx skills add machina-sports/sports-skills --skill metadatagit clone --depth 1 https://github.com/machina-sports/sports-skillsWrote 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.
[](https://agentmods.dev/skills/machina-sports/sports-skills/metadata)<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.
<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>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.01585 |
| Opus 5 | $0.00118 | $0.00792 |
| Sonnet 5 | $0.00047 | $0.00317 |
| Haiku 4.5 | $0.00024 | $0.00159 |
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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 141 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, thesportparameter defaults to"Soccer". Passsport="Basketball","American Football","Baseball","Ice Hockey","Motorsport", or"Cricket"when the team is not a soccer team — otherwise the lookup falls back to "first result regardless of sport," which may return the wrong team. - 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 |
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.
- 12d ago First seen · 141 lines · 236 tokens per session scan A 9413a3fda991
metadata is a skill published in the GitHub repository machina-sports/sports-skills (218 stars, last pushed 4d ago), licensed MIT. It adds 236 tokens to every session and 1,585 once invoked, about $0.0012 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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