A college basketball data skill using public ESPN and NCAA sources. It covers Division I men's basketball and selected Division II and III data.

Looking up scores, rankings, standings, rosters, schedules, news, player or team statistics, play-by-play data, win probabilities, and tournament information.

It provides a consistent way to find current and historical scores, teams, standings, schedules, players, and game details without API keys.

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

Your own site

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

Per session 173 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,505 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 1 Oct 2026
Snyk warn 1 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	$0.00173	$0.02505
Opus 5.5	$0.00069	$0.01002
Sonnet 5.5	$0.00035	$0.00501
Haiku 4.5	$0.00017	$0.00250

Measured 9d ago against content hash 30044a78268f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cbb-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/cbb-data/SKILL.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

College Basketball Data (CBB)

Before writing queries, consult references/api-reference.md for endpoints, conference IDs, team IDs, 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 cbb get_scoreboard
sports-skills cbb get_rankings
sports-skills cbb get_standings --group=23

CRITICAL: Before Any Query

CRITICAL: Before calling any data endpoint, verify:

Season year is derived from the system prompt's currentDate — never hardcoded.
For standings, the group parameter is set to the correct conference ID (see references/api-reference.md).
If only a team name is provided, use get_teams to resolve the team ID.

Choosing the Season

Derive the current year from the system prompt's date (e.g., currentDate: 2026-02-28 → 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 CBB season runs November–April. If the current month is November or December, use season = current_year + 1. If January–April, use season = current_year. If May–October (offseason), use season = current_year (most recently completed season).

Important: College vs. Pro Differences

Standings are per-conference — use the group parameter to filter
Rankings replace leaders — college uses AP Top 25 and Coaches Poll
Ranked teams have a rank field (null = unranked) on scoreboard competitors
360+ D1 teams — many games per day during the season (50+ during conference play)
March Madness — NCAA Tournament runs in March/April with 68 teams

Read the full file on GitHub · 215 lines

Files

What ships with it

4 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 30044a78268f
1mo ago Changed · +4 lines 2817210df551
2mo ago Changed · +4 lines be4e9cb71315
2mo ago First seen · 188 lines · 173 tokens per session scan A 6a7624fa21ea

Subscribe to this mod's changes

cbb-data is a skill published in the GitHub repository machina-sports/sports-skills (264 stars, last pushed yesterday), licensed MIT. It adds 173 tokens to every session and 2,505 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 2026-08-30.

Analytics and metrics Research

cbb-data next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
cbb-datamachina-sports/sports-skills	Skill	264	yesterday	MIT	A	173	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