What is gleague-data?

A skill for retrieving NBA G League information from public sports data services. It covers scores, standings, teams, schedules, game details, play-by-play, news, and player or team statistics.

Use it to look up G League games, schedules, results, standings, rosters, news, play-by-play, and official statistics.

It gives an agent the commands and identifier rules needed to query several G League data sources without mixing their different ID systems.

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

Your own site

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

Per session 185 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,079 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.

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	$0.00185	$0.02079
Opus 5.5	$0.00074	$0.00832
Sonnet 5.5	$0.00037	$0.00416
Haiku 4.5	$0.00018	$0.00208

Measured 8d ago against content hash 334e97144415, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gleague-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 8d 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/gleague-data/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NBA G League Data

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

Setup

Before first use, check if the CLI is available:

which sports-skills || pip install sports-skills

No API keys required.

Quick Start

sports-skills gleague get_scoreboard
sports-skills gleague get_standings --season=2026
sports-skills gleague get_teams
sports-skills gleague get_nbastats_game_log --season=2025 --team=STO
sports-skills gleague get_nbastats_leaders --season=2025 --limit=10

CRITICAL: Before Any Query

Two id systems, never interchangeable:
- ESPN (get_teams … get_news): ESPN G League team ids and event ids (e.g. 2, 401867657). ESPN team id 2 is the Austin Spurs here and the Boston Celtics in nba-data.
- Official NBA.com (find_nba_player, get_nbastats_*, get_live_*): 10-digit G League game ids starting with 20 (e.g. 2022500001), NBA.com person ids (e.g. 1630644) and team ids (e.g. 1612709890).
NBA (00…), WNBA (10…) and ESPN ids are rejected by the official commands before any request. Never pass ids between this skill and nba-data.
Dates are YYYY-MM-DD. For the current season, omit season.

Choosing the Season

The two sources number seasons differently:

ESPN commands use the year the season ends: 2025-26 is 2026.
get_nbastats_* commands use the year it starts (like nba-data): 2025-26 is 2025 or "2025-26". A mismatched range such as "2025-27" is an error, not repaired.

ESPN details:

Current / unspecified: omit season. get_standings skips an upcoming season that has no games yet and says so in note / defaulted_from. get_team_schedule returns the season ESPN selects.
A past season: pass its ending year (2025-26 → 2026). An explicitly requested season never falls back.
get_team_roster has no season parameter: this module exposes only the roster ESPN's provider currently returns. Historical rosters are unverified and not supported here. The season label on a roster response is ESPN's, and neither it nor the retrieval time proves the roster is up to date.

Read the full file on GitHub · 135 lines

Files

What ships with it

1 file 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.

references/api-reference.md 10 KB

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.

8d ago First seen · 135 lines · 185 tokens per session scan A 334e97144415

Subscribe to this mod's changes

gleague-data is a skill published in the GitHub repository machina-sports/sports-skills (264 stars, last pushed yesterday), licensed MIT. It adds 185 tokens to every session and 2,079 once invoked, about $0.0007 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 2026-10-30.

Analytics and metrics

gleague-data next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
gleague-datamachina-sports/sports-skills	Skill	264	yesterday	MIT	A	185	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