A lookup skill for professional men's and women's tennis data from ESPN. ATP is the men's professional tour, and WTA is the women's professional tour.

Use it to retrieve live or recent scores, player rankings and profiles, season tournament calendars, and tennis news for either the ATP or WTA tour.

It provides tournament and player information without API keys and requires the tour to be chosen explicitly. This prevents mixing men's and women's rankings or calendars by accident.

tennis-data — 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 tennis-data

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

Your own site

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

Per session 195 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,367 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 28 Oct 2026
Snyk warn 28 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.

Model	Per session	Once invoked
Fable 5.1	$0.00195	$0.02367
Opus 5.5	$0.00078	$0.00947
Sonnet 5.5	$0.00039	$0.00473
Haiku 4.5	$0.00019	$0.00237

Measured 9d ago against content hash 14a90210422f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tennis-data 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate_params.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/tennis-data/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tennis Data (ATP + WTA)

Before writing queries, consult references/api-reference.md for endpoints, ID conventions, and data shapes.

Quick Start

Prefer the CLI — it avoids Python import path issues:

sports-skills tennis get_scoreboard --tour=atp
sports-skills tennis get_rankings --tour=wta
sports-skills tennis get_calendar --tour=atp --year=2026
sports-skills tennis get_wta_entry_list --tournament_id=901 --year=2025
sports-skills tennis get_wta_player_results --player_id=320760 --year=2025 --limit=10

CRITICAL: Before Any Query

CRITICAL: Before calling any data endpoint, verify:

tour (atp or wta) is passed where the command requires it — see below.
Year is derived from the system prompt's currentDate — never hardcoded.

The `tour` Parameter

ATP: Men's professional tennis tour
WTA: Women's professional tennis tour

Per command:

get_scoreboard: tour is optional. Omit it to get ATP and WTA in one call; date is optional either way. If one tour fails, the result keeps the other tour's tournaments and adds partial: true plus a warnings entry naming the failed tour; it errors only when both fail.
get_rankings, get_calendar, get_news: tour is required. If the user doesn't specify, ask which tour; if they want both, call once per tour.
get_player_info: takes only player_id (ESPN athlete ID) — no tour.
get_wta_entry_list, get_wta_player_results: take native WTA ids — no tour.

Commands

Command	Description
`get_scoreboard`	Live/recent tournament scores for one tour, or both when `tour` is omitted
`get_rankings`	ATP or WTA player rankings
`get_calendar`	Full season tournament calendar
`get_player_info`	Individual tennis player profile
`get_news`	Tennis news articles
`get_wta_entry_list`	WTA entry list (singles players and doubles teams) for one tournament edition — WTA API
`get_wta_player_results`	A WTA player's most recent match results (bounded window), newest first — WTA API

Read the full file on GitHub · 173 lines

Files

What ships with it

5 files 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.

9d ago Changed · +22 lines 14a90210422f
1mo ago Changed · +34 lines · +15 tokens per session a892505fdcda
1mo ago Changed · +1 lines 3c6b9516e1cf
2mo ago Changed · +1 lines cfb116d85ee9
2mo ago First seen · 115 lines · 180 tokens per session scan A d6dc626f6296

Subscribe to this mod's changes

tennis-data is a skill published in the GitHub repository machina-sports/sports-skills (264 stars, last pushed yesterday), licensed MIT. It adds 195 tokens to every session and 2,367 once invoked, about $0.0008 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

tennis-data next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
tennis-datamachina-sports/sports-skills	Skill	264	yesterday	MIT	A	195	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