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 golf-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/golf-data)<a href="https://agentmods.dev/skills/machina-sports/sports-skills/golf-data"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/golf-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/golf-data"><img src="https://agentmods.dev/badge/skills/machina-sports/sports-skills/golf-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 | $0.00181 | $0.01931 |
| Opus 5.5 | $0.00072 | $0.00772 |
| Sonnet 5.5 | $0.00036 | $0.00386 |
| Haiku 4.5 | $0.00018 | $0.00193 |
Grade A, and why
golf-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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Golf Data (PGA / LPGA / DP World Tour)
Before writing queries, consult references/api-reference.md for endpoints, player IDs, and score formats.
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 golf get_leaderboard --tour=pga
sports-skills golf get_schedule --tour=pga --year=2026
sports-skills golf get_news --tour=pga
CRITICAL: Before Any Query
CRITICAL: Before calling any data endpoint, verify:
- The
tourparameter is specified (pga,lpga, oreur) — there is no default tour. - Player IDs are obtained from
get_leaderboardresults or ESPN golf URLs — never guessed.
Important: Golf is Not a Team Sport
- Tournaments, not games: Each event is a multi-day tournament (typically 4 rounds, Thu–Sun).
- Individual athletes: The leaderboard has 72–147 individual golfers, not 2 teams.
- Score relative to par: Scores are strings like "-17", "E" (even), "+2" — not point totals.
- One event per week: Unlike team sports, golf has one tournament per week per tour.
- No standings endpoint: FedEx Cup standings are not available via this API.
The tour Parameter
Most commands require --tour=pga, --tour=lpga, or --tour=eur:
- PGA: PGA Tour (men's professional golf)
- LPGA: LPGA Tour (women's professional golf)
- EUR: DP World Tour (formerly European Tour)
If the user doesn't specify, default to pga. If they say "women's golf" or "LPGA", use lpga. If they mention the European Tour or DP World Tour, use eur.
Commands
| Command | Description |
|---|---|
get_leaderboard |
Tournament leaderboard with all golfer scores (current, or event_id / date) |
get_schedule |
Full season tournament schedule |
get_player_info |
Individual golfer profile |
get_player_overview |
Detailed overview with season stats, rankings, recent results |
get_scorecard |
Hole-by-hole scorecard for a golfer (current, or event_id / date) |
get_news |
Golf news articles |
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 79a159e9f2b8
- 1mo ago Changed 47f4765b70dc
- 2mo ago First seen · 150 lines · 181 tokens per session scan A 22f65e7d3a58
golf-data is a skill published in the GitHub repository machina-sports/sports-skills (264 stars, last pushed yesterday), licensed MIT. It adds 181 tokens to every session and 1,931 once invoked, about $0.0007 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.
golf-data compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| golf-datamachina-sports/sports-skills | Skill | 264 | yesterday | MIT | A | 181 | 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 |