nfl-data

nfl-data is a skill for Claude Code, Codex from machina-sports/sports-skills. It costs 113 tokens per session (2,383 once invoked), scanned A, original, MIT.

A source of National Football League (NFL) information from public ESPN data and nflverse, an open collection of American football data. It covers games, teams, players, schedules, and detailed statistics.

In plain words
What is it for?
Use it to check scores, standings, rosters, schedules, game statistics, box scores, injuries, transactions, betting information, play-by-play, and team or player tables.
Why use it?
It removes the need to gather NFL information from different sources or manage API keys. It brings ordinary game information and detailed play-by-play and player data together.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 218repo +7 5d ago A scan Socket: passSnyk: warnSkillSpector: warn 113 tokens original MIT

Good fit Use it to check scores, standings, rosters, schedules, game statistics, box scores, injuries, transactions, betting information, play-by-play, and team or player tables.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/machina-sports/sports-skills/nfl-data
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 nfl-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.

agentmods badge for nfl-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/machina-sports/sports-skills/nfl-data/github.svg)](https://agentmods.dev/skills/machina-sports/sports-skills/nfl-data)
Your own site
<a href="https://agentmods.dev/skills/machina-sports/sports-skills/nfl-data"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/nfl-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.

agentmods 80×15 button for nfl-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/machina-sports/sports-skills/nfl-data"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/nfl-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 113 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,383 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 13 Apr 2026
  • Snyk warn 13 Apr 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00113 $0.02383
Opus 5 $0.00056 $0.01192
Sonnet 5 $0.00023 $0.00477
Haiku 4.5 $0.00011 $0.00238

Measured 13d ago against content hash 8e5ad906e475, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

nfl-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 13d 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/nfl-data/SKILL.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NFL 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 (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.

For nflverse-backed commands (get_nflverse_*), install the NFL extra:

pip install sports-skills[nfl]

On Python 3.10+ this installs nflreadpy (the preferred backend) plus pyarrow, which is needed for most nflverse data beyond schedules. On Python 3.9 it installs nfl-data-py instead, since nflreadpy requires 3.10+.

The nfl-data-py backend is a reduced fallback: it cannot serve get_nflverse_team_stats, which returns an explanatory error there. Use Python 3.10+ for full nflverse coverage.

Quick Start

Prefer the CLI — it avoids Python import path issues:

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

Python SDK (alternative):

from sports_skills import nfl

scores = nfl.get_scoreboard({})
standings = nfl.get_standings({"params": {"season": "2025"}})

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: 2026-02-16 → current year is 2026).

Read the full file on GitHub · 219 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.

  1. 13d ago First seen · 219 lines · 113 tokens per session scan A 8e5ad906e475

Subscribe to this mod's changes

nfl-data is a skill published in the GitHub repository machina-sports/sports-skills (218 stars, last pushed 5d ago), licensed MIT. It adds 113 tokens to every session and 2,383 once invoked, about $0.0006 per session on Opus 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens