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Nfl Data

Listed
machina-sports·vlatest·other·MIT

Access historical NFL game stats, player performance, team records, and draft information via detailed data queries.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add machina-sports/sports-skills --skill nfl-data -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

machina-sports

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 2 places.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • skills/nfl-data/SKILL.md:26pip install straight from a URL
      pip install git+https://github.com/machina-sports/sports-skills.git
    • skills/nfl-data/SKILL.md:230tells the user to run: pip install straight from a URL(in the instructions, not code)
      Solution: Run `pip install sports-skills`. If not on PyPI, install from GitHub: `pip install git+https://github.com/machina-sports/sports-skills.git`

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • Pinned to a commit: passed

    Scanned machina-sports/sports-skills at 3be3624236.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3be3624236
Manifest
skills/nfl-data/SKILL.md
Scanned
4 files, 500 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The nfl-data skill provides AI agents with access to National Football League statistics, enabling real-time analysis of player performance and team standings. It allows users to query specific metrics such as passing yards, rushing touchdowns, and defensive rankings directly within their workflow.

When to use it

  • Analyze individual player efficiency during the current NFL season to identify breakout stars or underperforming assets.
  • Compare offensive and defensive statistics between two teams preparing for an upcoming matchup.
  • Track historical trends in specific categories like sacks, interceptions, or points scored over multiple seasons.
  • Generate data-driven insights for fantasy football leagues or sports betting strategies based on current form.

Key capabilities

  • Retrieval of comprehensive player stats including passing, rushing, and receiving metrics.
  • Access to team-level performance data covering offense, defense, and special teams.
  • Support for querying specific seasons and timeframes within the NFL database.
  • Integration of live game statistics where available.

Example prompts

  • "Who has the highest yards per attempt among quarterbacks in the AFC this season?"
  • "Compare the rushing touchdowns of the top three running backs from last year's playoff teams."
  • "Which team has allowed the fewest points per game in the NFC over the last five weeks?"

Tips & gotchas

Ensure your AI agent queries are specific to avoid ambiguous results, as the skill returns broad statistical datasets. Note that data availability may be limited to completed seasons or current active games depending on the provider's update frequency.