A WNBA data lookup tool that uses ESPN’s public endpoints to retrieve information about the Women’s National Basketball Association, such as scores, schedules, teams, players, and statistics.

Use it to check scores, standings, rosters, schedules, game summaries, play-by-play, injuries, transactions, team and player statistics, leaders, futures, and news.

It avoids manually searching several sports pages or setting up API credentials when you need current WNBA information.

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

Your own site

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

Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,700 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 warn 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	$0.00122	$0.01700
Opus 5.5	$0.00049	$0.00680
Sonnet 5.5	$0.00024	$0.00340
Haiku 4.5	$0.00012	$0.00170

Measured 9d ago against content hash f559a84b15c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wnba-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/wnba-data/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

WNBA Data

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

Setup

Before first use, check if the CLI is available:

which sports-skills || pip install sports-skills

If pip install fails with a Python version error, the package requires Python 3.10+. Find a compatible Python:

python3 --version  # check version
# If < 3.10, try: python3.12 -m pip install sports-skills
# On macOS with Homebrew: /opt/homebrew/bin/python3.12 -m pip install sports-skills

No API keys required.

Quick Start

Prefer the CLI — it avoids Python import path issues:

sports-skills wnba get_scoreboard
sports-skills wnba get_standings --season=2025
sports-skills wnba get_teams

CRITICAL: Before Any Query

CRITICAL: Before calling any data endpoint, verify:

Season year is derived from the system prompt's currentDate — never hardcoded.
If only a team name is provided, call get_teams to resolve the team ID before using team-specific commands.

Choosing the Season

Derive the current year from the system prompt's date (e.g., currentDate: 2026-02-18 → current year is 2026).

If the user specifies a season, use it as-is.
If the user says "current", "this season", or doesn't specify: The WNBA season runs May–October. If the current month is May–October, use season = current_year. If November–April (offseason), use season = current_year - 1.

Commands

Command	Description
`get_scoreboard`	Live/recent WNBA scores
`get_standings`	Standings by conference
`get_teams`	All WNBA teams
`get_team_roster`	Full roster for a team
`get_team_schedule`	Schedule for a specific team
`get_game_summary`	Detailed box score and scoring plays
`get_leaders`	WNBA statistical leaders
`get_news`	WNBA news articles
`get_play_by_play`	Full play-by-play for a game
`get_win_probability`	Win probability chart data
`get_schedule`	Schedule for a specific date or season
`get_injuries`	Injury reports across all teams
`get_transactions`	Recent transactions
`get_futures`	Futures/odds markets
`get_team_stats`	Team statistical profile
`get_player_stats`	Player statistical profile

Read the full file on GitHub · 170 lines

Files

What ships with it

3 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 · +19 lines f559a84b15c3
2mo ago First seen · 151 lines · 122 tokens per session scan A 8c424575518e

Subscribe to this mod's changes

wnba-data is a skill published in the GitHub repository machina-sports/sports-skills (264 stars, last pushed yesterday), licensed MIT. It adds 122 tokens to every session and 1,700 once invoked, about $0.0005 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

wnba-data next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
wnba-datamachina-sports/sports-skills	Skill	264	yesterday	MIT	A	122	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