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Mlb Data

Checked
machina-sports·vlatest·data·MIT

Access comprehensive MLB historical data—player stats, game results, team financials—for advanced analysis and insights.

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 mlb-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.

Scanned
4 files, 388 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 mlb-data skill provides access to Major League Baseball statistics and game information, enabling AI agents to retrieve real-time scores, player performance metrics, and historical team data. It serves as a specialized data source for sports analytics, fantasy league management, and live commentary applications.

When to use it

  • Retrieving current MLB game scores and box scores during live broadcasts or betting analysis.
  • Analyzing player statistics such as batting averages, ERA, or home run totals for fantasy baseball strategies.
  • Generating historical comparisons between teams or players over specific seasons or timeframes.
  • Building automated sports news alerts based on specific team performance thresholds.

Key capabilities

  • Access to comprehensive Major League Baseball datasets including player and team stats.
  • Real-time game score retrieval and status updates.
  • Historical data aggregation for trend analysis.
  • Structured output suitable for integration into dashboards or reporting tools.

Example prompts

  • "What is the current batting average of Shohei Ohtani this season?"
  • "Provide a summary of the last game between the New York Yankees and the Boston Red Sox."
  • "List the top 5 pitchers with the lowest ERA in the American League over the past month."

Tips & gotchas

Ensure your AI agent has active internet connectivity to fetch the most recent live scores, as this data source relies on external updates. Verify that the specific season or year is specified in your query if analyzing historical trends to avoid confusion between current and archived data.