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Nba Data

Checked
machina-sports·vlatest·data·MIT

Access comprehensive NBA game statistics, player profiles, team records, and historical data via Machina Sports' nba-data skill.

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 nba-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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

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

  • 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/nba-data/SKILL.md
Scanned
4 files, 422 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 nba-data skill provides AI agents with access to National Basketball Association statistics, enabling real-time analysis of player performance and team standings. It allows agents to retrieve specific data points such as points per game, shooting percentages, and recent game results for any given season or timeframe.

When to use it

  • Analyze individual player efficiency trends over a specific regular season.
  • Compare head-to-head statistics between two teams preparing for a matchup.
  • Generate betting insights or fantasy basketball recommendations based on current form.
  • Track historical performance metrics for draft analysis or trade evaluation.

Key capabilities

  • Retrieval of comprehensive player statistics including scoring, rebounding, and assists.
  • Access to team-level data covering win-loss records and conference standings.
  • Support for filtering data by specific seasons, teams, or individual players.
  • Structured output formats suitable for tabular analysis or direct comparison.

Example prompts

  • "Who has the highest points per game average in the Eastern Conference this season?"
  • "Compare LeBron James' rebounding stats from 2023 to his performance in 2024."
  • "List the top five teams with the best defensive rating in the NBA last month."

Tips & gotchas

Ensure you specify a clear timeframe or season when requesting historical data to avoid ambiguous results. While the skill provides robust statistical summaries, it may not include advanced analytics like Player Efficiency Rating (PER) unless explicitly requested through specific parameter configurations.