Agent skill

Cfb Data

by machina-sports in machina-sports/sports-skills

College Football (CFB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, rankings, injuries, futures…

MITAuto-check passedData & Analytics

Install Cfb Data

skills CLI

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

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

GitHub CLI

$ gh skill install machina-sports/sports-skills cfb-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/cfb-data .claude/skills/cfb-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/

Paste into Claude Code

Install the "cfb-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/cfb-data into .claude/skills/cfb-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cfb-data", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/machina-sports/sports-skills/tree/main/skills/cfb-data

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add machina-sports/sports-skills --skill cfb-data -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install machina-sports/sports-skills cfb-data --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "cfb-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/cfb-data into .agents/skills/cfb-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cfb-data", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add machina-sports/sports-skills --skill cfb-data -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install machina-sports/sports-skills cfb-data --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "cfb-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/cfb-data into .cursor/skills/cfb-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cfb-data", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/machina-sports/sports-skills.git --path skills/cfb-data

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add machina-sports/sports-skills --skill cfb-data -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install machina-sports/sports-skills cfb-data --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "cfb-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/cfb-data into .gemini/skills/cfb-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cfb-data", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install machina-sports/sports-skills cfb-data

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add machina-sports/sports-skills --skill cfb-data -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

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

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "cfb-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/cfb-data into .github/skills/cfb-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cfb-data", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add machina-sports/sports-skills --skill cfb-data -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install machina-sports/sports-skills cfb-data --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "cfb-data" agent skill from https://github.com/machina-sports/sports-skills/tree/main/skills/cfb-data into .opencode/skills/cfb-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cfb-data", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: cfb-data
GitHub stars: 245
Token cost: ~2.9k tokens
SKILL.md length: 909 words
Files: 5 (incl. scripts, references)
Skills in repo: 23
Repo updated: Oct 10, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

College Football (CFB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, rankings, injuries, futures…

Works in 2 steps: Derive season year from currentDate → Call get_standings(group=8, season=)…
: user asks about college football 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

Cfb Data is an agent skill from machina-sports/sports-skills. College Football (CFB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, rankings, injuries, futures, team/player stats, and news for FBS, plus official FCS scoreboards, NCAA game detail with drive context, and the schools index. Zero config, no API keys. Use when: user asks about college football scores, standings, rankings, team rosters, schedules, game results, play-by-play, injuries, betting futures, team/player statistics…

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/api-reference.md`, `references/conference-ids.md` and `references/team-ids.md`).

It sits in Data & Analytics, covering Statistics. It works with 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 college football scores
Betting futures
Team/player statistics
: user asks about NFL (use nfl-data)

Example prompts

“/cfb-data”

Requirements

Python 3
A Bash shell

Workflow steps

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

Derive season year from currentDate
Call get_standings(group=8, season=) (group 8 = SEC)

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

Cfb Data loads about 2.9k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 165 tokens; SKILL.md has 909 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~165
When it runs · the whole SKILL.md, loaded when a task matches: ~2.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~4.7k

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). 909 words, ~2,935 tokens.

Download SKILL.mdSave it as .claude/skills/cfb-data/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: cfb-data
description: College Football (CFB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, rankings, injuries, futures, team/player stats, and news for FBS, plus official FCS scoreboards, NCAA game detail with drive context, and the schools index. Zero config, no API keys. Use when: user asks about college football scores, standings, rankings, team rosters, schedules, game results, play-by-play, injuries, betting futures, team/player statistics, CFB news, or FCS games. Don't use when: user asks about NFL (use nfl-data), college basketball (use cbb-data), or non-sports topics.
license: MIT
metadata.author: machina-sports
metadata.version: 0.1.0

College Football Data (CFB)

Before writing queries, consult references/api-reference.md for endpoints, conference IDs, team IDs, 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 cfb get_scoreboard
sports-skills cfb get_rankings
sports-skills cfb get_standings --group=8

CRITICAL: Before Any Query

CRITICAL: Before calling any data endpoint, verify:

Season year is derived from the system prompt's currentDate — never hardcoded.
For standings, the group parameter is set to the correct conference ID (see references/api-reference.md).
If only a team name is provided, use get_teams to resolve the team ID.

Choosing the Season

Derive the current year from the system prompt's date (e.g., currentDate: 2026-02-28 → current year is 2026).

If the user specifies a season, use it as-is.
If the user says "current", "this season", or doesn't specify: The CFB season runs August–January. If the current month is February–July (offseason), use season = current_year - 1. From August onward, use the current year.

Important: College vs. Pro Differences

Standings are per-conference — use the group parameter to filter
Rankings replace leaders — college uses AP Top 25, Coaches Poll, and CFP rankings
Ranked teams have a rank field (null = unranked) on scoreboard competitors
Week-based schedule — like NFL, college football uses week numbers

Commands

Command	Description
`get_scoreboard`	Live/recent college football scores
`get_standings`	Standings by conference (use `group` parameter)
`get_teams`	All 750+ FBS college football teams
`get_team_roster`	Full roster for a team
`get_team_schedule`	Schedule for a specific team
`get_game_summary`	Detailed box score and scoring plays
`get_rankings`	AP Top 25, Coaches Poll, CFP rankings
`get_news`	College football news
`get_play_by_play`	Full play-by-play for a game
`get_win_probability`	Win probability timeline for a completed game
`get_schedule`	Season schedule by week
`get_injuries`	Injury reports across all teams
`get_futures`	Futures/odds markets (National Championship, Heisman, etc.)
`get_team_stats`	Team statistical profile
`get_player_stats`	Player statistical profile
`get_ncaa_scoreboard`	Official NCAA scoreboard — FBS and FCS
`get_ncaa_schedule`	Which weeks have games (official index)
`get_ncaa_game`	Official NCAA game information
`get_ncaa_boxscore`	Official NCAA box score
`get_ncaa_play_by_play`	Official play-by-play with drive context
`get_ncaa_scoring_summary`	Official scoring summary
`get_ncaa_schools`	NCAA schools index (all divisions)

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

Official NCAA Backend

The get_ncaa_* commands read the NCAA's own endpoints (sdataprod.ncaa.com + ncaa.com) — coverage ESPN does not carry:

FCS scoreboards via division="fcs" — ESPN's college coverage is FBS-centric.
Official game detail: get_ncaa_game, get_ncaa_boxscore, get_ncaa_play_by_play (with drive context), get_ncaa_scoring_summary.
The schools index (~1,200 schools, all divisions): get_ncaa_schools.

NCAA game ids (e.g. 6306261, from get_ncaa_scoreboard) and ESPN event ids share nothing — join on game date plus team names. NCAA reissues game ids, so take them from a fresh get_ncaa_scoreboard call rather than storing them. Football divisions are fbs/fcs (not d1-d3). get_ncaa_schedule numbers the weeks get_ncaa_scoreboard takes (16+ are the postseason, FCS playoffs included). Scoring-summary field goals carry distance_yards, taken from the play-by-play. All get_ncaa_* commands except get_ncaa_schools ride NCAA's GraphQL persisted queries, whose hashes rotate when ncaa.com redeploys; when that happens they say so explicitly, and the ESPN-backed get_scoreboard / get_schedule cover the same FBS games.

Show full SKILL.md (406 more words)Show less

Examples

Example 1: Current rankings User says: "What are the college football rankings?" Actions:

Call get_rankings() Result: AP Top 25, Coaches Poll, and CFP rankings with rank, previous rank, record

Example 2: Conference standings User says: "Show me SEC football standings" Actions:

Derive season year from currentDate
Call get_standings(group=8, season=<derived_year>) (group 8 = SEC) Result: SEC standings with W-L records per team

Example 3: Team schedule User says: "What's Alabama's schedule this season?" Actions:

Derive season year from currentDate
Call get_team_schedule(team_id="333", season=<derived_year>) Result: Alabama's full season schedule with opponent, date, score (if played)

Example 4: Weekly scores User says: "Show me this week's college football scores" Actions:

Call get_scoreboard() Result: All live and recent CFB games with scores and ranked status

Example 5: Heisman favorites User says: "Who's the Heisman favorite?" Actions:

Call get_futures(limit=10) Result: Top Heisman Trophy candidates with odds values

Example 6: Team statistics User says: "Show me Alabama's team stats" Actions:

Derive season year from currentDate
Call get_team_stats(team_id="333", season_year=<derived_year>) Result: Alabama's season stats by category with value, rank, and per-game averages

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.
~~get_bcs_rankings~~ / ~~get_playoff_rankings~~ — does not exist. Use get_rankings 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:

If no events found for a date, check if it's in the off-season (CFB runs August–January)
If standings are empty without a group filter, try with a specific conference group
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: No games found Cause: CFB is seasonal (August–January); off-season scoreboard will be empty Solution: Use get_rankings or get_news year-round; use get_schedule to find when the season starts

Error: Too many teams returned Cause: get_teams returns 750+ FBS teams Solution: Help users narrow down by suggesting specific team IDs from references/api-reference.md, or use ESPN URLs to look up IDs

Error: Rankings empty in off-season Cause: Rankings are only published during the season and early off-season Solution: Use get_news in the offseason; rankings resume in August

Files

SKILL.md and 4 other files (scripts, references) in skills/cfb-data of machina-sports/sports-skills.

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

Open the folder on GitHubat commit 0420a7c

Compare with similar skills

Cfb Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Questions about Cfb Data

What does Cfb Data do?

College Football (CFB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, rankings, injuries, futures…. Cfb Data is an agent skill from machina-sports/sports-skills. College Football (CFB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, rankings, injuries, futures, team/player stats, and news for FBS, plus official FCS scoreboards, NCAA game detail with drive context, and the schools index.

When should I use Cfb Data?

Cfb Data fits situations like: : user asks about college football scores; betting futures; team/player statistics; : user asks about NFL (use nfl-data).

How do I install Cfb Data in Claude Code?

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

How do I install Cfb Data in Codex?

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

Can I use Cfb 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 cfb-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/cfb-data, .gemini/skills/cfb-data, .github/skills/cfb-data and .opencode/skills/cfb-data in your project.

What does Cfb Data need to run?

Going by SKILL.md and its folder, Cfb 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 Cfb 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 Cfb 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 Cfb Data use?

Cfb 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 Cfb Data use?

About 2.9k tokens (SKILL.md is roughly 12k 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 Cfb Data?

Skills that share tags, products or a category with Cfb 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 Meridian MMM Model Building (google/meridian, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cfb 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.

Install Cfb Data

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

College Football Data (CFB)

Setup

Quick Start

CRITICAL: Before Any Query

Choosing the Season

Important: College vs. Pro Differences

Commands

Official NCAA Backend

Examples

Commands that DO NOT exist — never call these

Error Handling

Troubleshooting

Files

Compare with similar skills

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