MLB data via ESPN public endpoints and the official MLB Stats API — scores, standings, rosters, schedules, game summaries, injuries, leaders, and news, plus an analytics backend: pitch-level…

MITAuto-check passedData & Analytics

Install Mlb Data

skills CLI
$ npx skills add machina-sports/sports-skills --skill mlb-data -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install machina-sports/sports-skills mlb-data --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/machina-sports/sports-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mlb-data .claude/skills/mlb-data && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
mlb-data
GitHub stars
245
Token cost
~2.6k tokens
SKILL.md length
1,179 words
Files
4 (incl. scripts, references)
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

MLB data via ESPN public endpoints and the official MLB Stats API — scores, standings, rosters, schedules, game summaries, injuries, leaders, and news, plus an analytics backend: pitch-level…

  • Works in 3 steps: Derive season year from currentDate → Call get_standings(season=) → Filter results for American League East
  • : user asks about MLB scores
  • SKILL.md covers Setup, Quick Start, CRITICAL: Before Any Query and Choosing the Season, plus 7 more sections
  • Runs Shell scripts from its folder; calls pip and python3

What it does

Mlb Data is an agent skill from machina-sports/sports-skills. MLB data via ESPN public endpoints and the official MLB Stats API — scores, standings, rosters, schedules, game summaries, injuries, leaders, and news, plus an analytics backend: pitch-level velocity/spin/exit-velocity, career splits by stat group, league leaders, and schedules to 1901. Zero config, no API keys. Use when: user asks about MLB scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, depth charts, team/player statistics, MLB news, pitch…

Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md`, `references/team-ids.md` and `scripts/validate_params.sh`).

It sits in Data & Analytics, covering Statistics. It works with Kalshi, Polymarket and Python. The repository describes itself as: Open-source agent skills for live sports data and prediction markets. Football, F1, Kalshi, Polymarket. Zero API keys. SKILL.md format. The licence is MIT.

When your agent uses it

  • : user asks about MLB scores
  • Team/player statistics
  • Pitch speeds/spin/exit velocity
  • Historical MLB seasons

Example prompts

  • “/mlb-data”

Requirements

  • Python 3
  • A Bash shell

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Derive season year from currentDate
  2. Call get_standings(season=)
  3. Filter results for American League East

What it can do on your machine

Read from SKILL.md and the folder at commit 0420a7c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • pip
    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Mlb Data loads about 2.6k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 254 tokens; SKILL.md has 1,179 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~254
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from machina-sports/sports-skills at commit 0420a7c, republished under its MIT licence (© machina-sports). 1,179 words, ~2,602 tokens.

Download SKILL.mdSave it as .claude/skills/mlb-data/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
mlb-data
description
MLB data via ESPN public endpoints and the official MLB Stats API — scores, standings, rosters, schedules, game summaries, injuries, leaders, and news, plus an analytics backend: pitch-level velocity/spin/exit-velocity, career splits by stat group, league leaders, and schedules to 1901. Zero config, no API keys. Use when: user asks about MLB scores, standings, team rosters, schedules, game stats, box scores, play-by-play, injuries, transactions, depth charts, team/player statistics, MLB news, pitch speeds/spin/exit velocity, career stats, league leaders, or historical MLB seasons. Don't use when: user asks about minor league baseball, college baseball, or international baseball. For other sports use: nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), football-data (soccer), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), fastf1 (F1). For betting odds use polymarket or kalshi. For news use sports-news.
license
MIT
metadata.author
machina-sports
metadata.version
0.1.0

MLB 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:

bash
which sports-skills || pip install sports-skills

If pip install fails with a Python version error, the package requires Python 3.10+. Find a compatible Python:

bash
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.

Quick Start

Prefer the CLI — it avoids Python import path issues:

bash
sports-skills mlb get_scoreboard
sports-skills mlb get_standings --season=2025
sports-skills mlb get_teams

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 active season from the system prompt's date — not just the calendar year.

  • If the user specifies a season, use it as-is.
  • If the user says "current", "this season", or doesn't specify: The MLB season runs late March/April through October. If the current month is January–March, the last completed season was the prior calendar year. From April onward, use the current calendar year.

Commands

CommandDescription
get_scoreboardLive/recent MLB scores
get_standingsStandings by league and division
get_teamsAll 30 MLB teams
get_team_rosterFull roster for a team
get_team_scheduleSchedule for a specific team
get_game_summaryDetailed box score and scoring plays
get_leadersMLB statistical leaders
get_newsMLB news articles
get_play_by_playFull play-by-play for a game
get_win_probabilityWin probability chart data
get_scheduleGames on a specific date (no season filter; see get_team_schedule)
get_injuriesInjury reports across all teams
get_transactionsRecent transactions
get_futuresFutures/odds markets
get_depth_chartDepth chart for a team
get_team_statsTeam statistical profile
get_player_statsPlayer statistical profile
find_mlb_playerSearch MLB's player registry by name
get_mlbstats_scheduleGames via the MLB Stats API — history to 1901, carries gamePk ids
get_mlbstats_player_statsSeason/career/year-by-year splits by stat group via MLB Stats API; stat_type=game_log gives one split per game
get_mlbstats_play_by_playPitch-level PBP — velocity, spin, plate coords, exit velo, launch angle
get_mlbstats_boxscoreFull box score with per-player batting/pitching via MLB Stats API
get_mlbstats_standingsStandings by division via MLB Stats API
get_mlbstats_leadersLeague leaders for any stat category via MLB Stats API

See references/api-reference.md for full parameter lists and return shapes.

Shaping Play-by-Play Results

get_mlbstats_play_by_play and get_mlbstats_player_stats accept sort_by, descending, limit and fields. fields is the quickest way to drop the per-pitch lists when you only need the at-bat outcomes:

bash
sports-skills mlb get_mlbstats_play_by_play --game_pk=775296 --fields=event,rbi
  • sort_by: one column to sort by. Numbers (and numeric strings) sort numerically; missing values always go last.
  • descending: true (default) or false; only used with sort_by.
  • limit: positive integer, applied after sorting.
  • fields: comma-separated keep-list. inning, half, batter, pitcher (play-by-play) or season, team, game_pk, game_date (player stats; stat keys such as homeRuns are addressable directly) and the sort_by column are always kept.
  • An unknown sort_by/fields column returns an error listing the valid columns.
  • With any of these set, the response adds total_rows (matching rows before limit) and returned_rows. With none set, output is unchanged. They are applied after the fetch, so they never change the upstream request or its replay entry.

Using ESPN and the MLB Stats API Together

The get_mlbstats_* commands read statsapi.mlb.com — MLB's own open API. It carries the analytics layer ESPN does not: per-pitch velocity/spin/location, exit velocity and launch angle on balls in play, career splits by stat group, and schedules back to 1901. The two sources use unrelated id systems:

  • Game ids. MLB uses gamePk (e.g. 775296); ESPN uses event ids (e.g. 401570367). No shared column — join on the game date plus teams.
  • Team abbreviations. Two teams differ: ESPN ARI/CHW vs MLB AZ/CWS. Every get_mlbstats_* team filter accepts either spelling, and rows carry both (team_abbreviation, team_abbreviation_espn).
  • Player ids. MLB person ids (660271) and ESPN athlete ids are unrelated. Resolve names with find_mlb_player; ASCII spellings match accented names ("acuna" finds "Ronald Acuña Jr.").
  • Postponed games repeat. A postponed or suspended game is listed twice under one game_pk in get_mlbstats_schedule: the original date has rescheduled: true (and rescheduled_to), the make-up has rescheduled_from. Drop rescheduled rows when counting games.
  • Schedule times. start_time is UTC; venue_timezone is the ballpark's IANA zone (e.g. America/New_York, null if MLB omits it) and local_date is MLB's official (local) date.
  • Postseason game_type filters by date. game_type="worldseries" with a date outside the World Series returns no games plus a warnings entry; drop game_type, or pass team + season with it to list the round's dates.
  • Leaders come grouped. A category like homeRuns exists for hitting, catching, and pitching (home runs allowed); rows are labelled with stat_group — pass stat_group= to get just one.

Responses include MLB's copyright notice, passed through from the API.

Show full SKILL.md (442 more words)Show less

Examples

Example 1: Today's scores User says: "What are today's MLB scores?" Actions:

  1. Call get_scoreboard() Result: All live and recent MLB games with scores by inning and status

Example 2: Division standings User says: "Show me the AL East standings" Actions:

  1. Derive season year from currentDate
  2. Call get_standings(season=<derived_year>)
  3. Filter results for American League East Result: AL East standings with W-L, PCT, GB, run differential

Example 3: Team roster User says: "Who's on the Yankees roster?" Actions:

  1. Call get_team_roster(team_id="10") Result: Full Yankees roster with name, position, bats/throws, height, weight

Example 4: Game box score User says: "Show me the full box score for last night's Dodgers game" Actions:

  1. Call get_scoreboard(date="<yesterday>") to find the event_id
  2. Call get_game_summary(event_id=<id>) for full box score Result: Complete box score with batting/pitching stats per player

Example 5: Injury report User says: "Who's on the IL for the Yankees?" Actions:

  1. Call get_injuries()
  2. Filter results for New York Yankees (team_id=10) Result: Yankees IL list with player name, position, IL type, and injury detail

Example 6: Player statistics User says: "Show me Shohei Ohtani's stats" Actions:

  1. Derive season year from currentDate
  2. Call get_player_stats(player_id="39832", season_year=<derived_year>) Result: Season stats by category (batting, pitching) with value, rank, and per-game averages

Example 7: World Series odds User says: "Who's favored to win the World Series?" Actions:

  1. Call get_futures(limit=10) Result: Top World Series contenders with odds values

Commands that DO NOT exist — never call these

  • get_odds / get_betting_odds — not available. For prediction market odds, use the polymarket or kalshi skill.
  • search_teams — does not exist. Use get_teams instead.
  • get_box_score — does not exist. Use get_game_summary instead.
  • get_player_ratings — does not exist. Use get_player_stats instead.

If a command is not listed in the Commands table above, it does not exist.

Error Handling

When a command fails, do not surface raw errors to the user. Instead:

  1. Catch silently and try alternatives
  2. If team name given instead of ID, use get_teams to find the ID first
  3. Only report failure with a clean message after exhausting alternatives

Troubleshooting

Error: sports-skills command not found Cause: Package not installed Solution: Run pip install sports-skills

Error: Team not found by ID Cause: Wrong or outdated ESPN team ID used Solution: Call get_teams to get the current list of all 30 MLB teams with their IDs

Error: No data returned for a future game Cause: ESPN only returns data for completed or in-progress games Solution: Use get_schedule to see upcoming game details; get_scoreboard only covers active/recent games

Error: Offseason — scoreboard returns 0 events Cause: No games scheduled during the offseason (November–March) Solution: Use get_standings or get_news instead; MLB offseason transactions are available via get_transactions

© machina-sports, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/mlb-data of machina-sports/sports-skills.

  • SKILL.md
  • references/api-reference.md
  • references/team-ids.md
  • scripts/validate_params.sh

Open the folder on GitHubat commit 0420a7c

Compare with similar skills

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Questions about Mlb Data

What does Mlb Data do?

MLB data via ESPN public endpoints and the official MLB Stats API — scores, standings, rosters, schedules, game summaries, injuries, leaders, and news, plus an analytics backend: pitch-level…. Mlb Data is an agent skill from machina-sports/sports-skills. MLB data via ESPN public endpoints and the official MLB Stats API — scores, standings, rosters, schedules, game summaries, injuries, leaders, and news, plus an analytics backend: pitch-level velocity/spin/exit-velocity, career splits by stat group, league leaders, and schedules to 1901.

When should I use Mlb Data?

Mlb Data fits situations like: : user asks about MLB scores; team/player statistics; pitch speeds/spin/exit velocity; historical MLB seasons.

How do I install Mlb Data in Claude Code?

Run `npx skills add machina-sports/sports-skills --skill mlb-data -a claude-code`. Or copy the skill folder (skills/mlb-data in machina-sports/sports-skills) into .claude/skills/mlb-data in your project. Claude Code loads it when a task matches its description.

How do I install Mlb Data in Codex?

Run `npx skills add machina-sports/sports-skills --skill mlb-data -a codex`. Or copy the skill folder (skills/mlb-data in machina-sports/sports-skills) into .agents/skills/mlb-data in your project. Codex loads it when a task matches its description.

Can I use Mlb Data in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add machina-sports/sports-skills --skill mlb-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mlb-data, .gemini/skills/mlb-data, .github/skills/mlb-data and .opencode/skills/mlb-data in your project.

What does Mlb Data need to run?

Going by SKILL.md and its folder, Mlb Data needs a shell for the scripts in its folder and the command-line tools its instructions call (pip and python3). Our summary lists: Python 3; A Bash shell.

Does Mlb Data access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Mlb Data safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Mlb Data use?

Mlb Data is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mlb Data use?

About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Mlb Data?

Skills that share tags, products or a category with Mlb Data: Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars), Rota Bench Regression Analysis (oracle/graalpython, 1.7k stars), Matlab (zLanqing/codex-claude-academic-skills, 4.7k stars) and Polymarket Tennis (livetennisapi/livetennisapi-mcp, 152 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mlb Data?

machina-sports (a GitHub organization) maintains it in machina-sports/sports-skills, which has 245 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 10, 2026.

Source: machina-sports/sports-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.