What is volleyball-data?

A source of Dutch volleyball information from Nevobo, the Dutch volleyball federation. It covers competitions, clubs, schedules, results, standings, tournaments, and news across the Dutch league system.

Use it to list Dutch competitions, check standings, find schedules and results, and look up clubs, tournaments, and volleyball news.

It removes the need to look up Dutch volleyball information across different competition pages. The data comes from the federation’s open service and requires no API key.

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

Your own site

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

Per session 191 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,323 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 warn 7 Sept 2026

SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high YARA Match · line 26
YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).

Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.

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	$0.00191	$0.02323
Opus 5.5	$0.00076	$0.00929
Sonnet 5.5	$0.00038	$0.00465
Haiku 4.5	$0.00019	$0.00232

Measured 9d ago against content hash 2ba7908f497a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

volleyball-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.

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/volleyball-data/SKILL.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Volleyball Data (Nevobo — Dutch Volleyball)

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 (package not found or Python version error), install from GitHub:

pip install git+https://github.com/machina-sports/sports-skills.git

The package requires Python 3.10+. If your default Python is older, use a specific version:

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. All data comes from the Nevobo (Nederlandse Volleybalbond) open API.

Quick Start

Prefer the CLI — it avoids Python import path issues:

sports-skills volleyball get_competitions
sports-skills volleyball get_standings --competition_id=nevobo-eredivisie-heren
sports-skills volleyball get_results --competition_id=nevobo-eredivisie-dames
sports-skills volleyball get_schedule --competition_id=nevobo-topdivisie-heren-a

Python SDK (alternative):

from sports_skills import volleyball

standings = volleyball.get_standings(competition_id="nevobo-eredivisie-heren")
results = volleyball.get_results(competition_id="nevobo-eredivisie-dames")

CRITICAL: Before Any Query

CRITICAL: Before calling any data endpoint, verify:

The competition_id uses a valid value from references/competition-ids.md — never guess.
For club-specific commands, you have a valid Nevobo club_id (use get_clubs to find one — the organisatiecode field).
Do NOT guess club IDs or competition IDs. Use get_competitions or get_clubs to discover them.

The `competition_id` Parameter

8 leagues across the top 3 tiers of Dutch volleyball are pre-configured. The competition_id follows the pattern nevobo-<league>-<gender>[-<pool>]:

Read the full file on GitHub · 184 lines

Files

What ships with it

2 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 2ba7908f497a
1mo ago Changed · +2 lines f0bff0426eb2
2mo ago First seen · 163 lines · 191 tokens per session scan A 4f8ed07ae46e

Subscribe to this mod's changes

volleyball-data is a skill published in the GitHub repository machina-sports/sports-skills (264 stars, last pushed yesterday), licensed MIT. It adds 191 tokens to every session and 2,323 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

volleyball-data next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
volleyball-datamachina-sports/sports-skills	Skill	264	yesterday	MIT	A	191	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
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local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
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