Golf Data Skill for Muse

Prerequisites: Python 3.10+ and `pip install sports-skills` (the bundled CLI). No API keys, no accounts — data comes from ESPN public endpoints. Locate the skill "golf-data" in the repository. Install "Golf Data Skill for Muse" for me. A golf-data interface for PGA Tour, LPGA, and DP World Tour: current tournament leaderboards, hole-by-hole scorecards, full season schedules, golfer profiles and season overviews, and tour news — via the sports-skills CLI on ESPN public endpoints, with golf-aware usage rules (tour parameter always, player IDs never guessed). Repository: https://github.com/machina-sports/sports-skills 1. Fetch the SKILL.md file (and its references/api-reference.md) for the skill "golf-data" from the repository into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and any bundled files for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "golf-data". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. run `pip install sports-skills` if the CLI is missing, then ask about a leaderboard, schedule, or golfer). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. If anything looks off, stop and ask me.