Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
GHIN Golf Tracker
Analyzes local GHIN golf JSON data to report handicap trends, scoring patterns, course stats, and yearly performance without external connections.
skill openclawclawhub Free
Analyzes local GHIN golf JSON data to report handicap trends, scoring patterns, course stats, and yearly performance without external connections.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, scripts/ghin_stats.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.3.0
Provenance
- Publisher
- pfrederiksen
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
GHIN Golf Tracker
OpenClaw skill for analyzing GHIN (Golf Handicap and Information Network) golf statistics and handicap tracking.
Description
This skill provides comprehensive analysis of golf statistics from GHIN data including handicap trends, scoring patterns, course performance, and historical breakdowns. The skill reads pre-collected GHIN data from a JSON file and computes detailed statistics in both human-readable and machine-readable formats. Key Features: Current handicap index with trend analysis (improving/declining/stable) Lifetime totals including round counts and scoring extremes Best 5 differentials with course and date information Most played courses with round counts and average scores Year-by-year performance breakdown Scoring averages by par (3/4/5) when available Performance statistics (GIR%, fairways%, putts) when available Handicap range analysis with dates
System Access
File System: READ: Single GHIN data JSON file (path provided as command-line argument) Network Access: None Subprocess/Shell: None
What It Does NOT Do
This skill is designed for data analysis only and explicitly does NOT: No network access: Does not connect to GHIN.com or any external services No web scraping: Does not perform browser automation or web requests No subprocess execution: Does not run external commands or shell scripts No file writes: Does not create, modify, or delete any files No credential handling: Does not store, read, or manage login credentials No data collection: Does not gather GHIN data from external sources Data Collection: GHIN does not offer a public API for score history. Data collection requires separate browser automation tooling (not included in this skill). See the README for guidance on how to populate the data file.
Scripts
scripts/ghin_stats.py - Main analysis script (Python 3.8+ required)
Basic Analysis
python3 scripts/ghin_stats.py /path/to/ghin-data.json
JSON Output
python3 scripts/ghin_stats.py /path/to/ghin-data.json --format json
Expected Data Format
The script expects a JSON file with the following structure: { "handicap_index": 18.0, "lifetime_rounds": 83, "handicap_history": [ {"date": "2026-02-02", "index": 18.0}, {"date": "2026-01-15", "index": 17.8} ], "stats": { "par3_avg": 4.06, "par4_avg": 4.94, "par5_avg": 5.73, "gir_pct": 50, "fairways_pct": 65, "putts_avg": 31.2 }, "scores": [ { "date": "2026-02-01", "score": "82A", "course": "Las Vegas Golf Club", "cr_slope": "68.0/117", "differential": 13.5 } ] }
Example Output (Text Format)
GHIN Golf Statistics Report ============================== Current Handicap: 18.0 Trend (last 5): ↗️ Improving LIFETIME TOTALS --------------- Total Rounds: 83 Best Score: 72 Worst Score: 95 BEST DIFFERENTIALS ----------------- 1. 8.2 - Pebble Beach Golf Links (2025-08-15) 2. 9.1 - Augusta National Golf Club (2025-09-22) 3. 10.4 - St. Andrews Old Course (2025-07-10) MOST PLAYED COURSES ------------------- Las Vegas Golf Club: 12 rounds (avg 84.2) Phoenix Country Club: 8 rounds (avg 86.1) Scottsdale National: 6 rounds (avg 82.9) YEARLY BREAKDOWN ---------------- 2026: 8 rounds (avg 83.4) 2025: 42 rounds (avg 84.7) 2024: 33 rounds (avg 87.2)
Dependencies
Python 3.8+ Standard library only (json, sys, argparse, statistics, datetime, pathlib, collections, re)
Installation
This skill can be installed via ClawHub: clawhub install ghin-golf-tracker Or manually by cloning the repository and placing it in your OpenClaw skills directory.
Error Handling
The script provides specific error handling for: FileNotFoundError: When the specified JSON file doesn't exist json.JSONDecodeError: When the JSON file is malformed Graceful handling of missing or malformed data fields
Output Formats
Text (default): Human-readable formatted report JSON: Machine-readable structured data for further processing
Privacy & Security
All processing is done locally on the provided data file No external network connections are made No credentials or sensitive data are stored or transmitted Data is processed in memory only with no persistent storage
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts
- SKILL.md
- README.md
- scripts/ghin_stats.py