Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add machina-sports/sports-skills --skill cfb-datagit clone --depth 1 https://github.com/machina-sports/sports-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/machina-sports/sports-skills/cfb-data)<a href="https://agentmods.dev/skills/machina-sports/sports-skills/cfb-data"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/cfb-data/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/machina-sports/sports-skills/cfb-data"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/cfb-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00152 | $0.03155 |
| Opus 5.5 | $0.00061 | $0.01262 |
| Sonnet 5.5 | $0.00030 | $0.00631 |
| Haiku 4.5 | $0.00015 | $0.00315 |
Grade A, and why
cfb-data scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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:
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:
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:
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
groupparameter is set to the correct conference ID (seereferences/api-reference.md). - If only a team name is provided, use
get_teamsto 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
groupparameter to filter - Rankings replace leaders — college uses AP Top 25, Coaches Poll, and CFP rankings
- Ranked teams have a
rankfield (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) |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago Changed · +19 lines 432003077291
- 1mo ago Changed · +5 lines 144fe05f0171
- 2mo ago Changed · +4 lines f895ebbbd400
- 2mo ago First seen · 255 lines · 152 tokens per session scan A efc58e0c39b2
cfb-data is a skill published in the GitHub repository machina-sports/sports-skills (264 stars, last pushed yesterday), licensed MIT. It adds 152 tokens to every session and 3,155 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
cfb-data compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cfb-datamachina-sports/sports-skills | Skill | 264 | yesterday | MIT | A | 152 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |