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Skillsgithub-star-tracker

github-star-tracker

Coding & development

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Updated 10-15 20:10

About this skill

GitHub Star Tracker

Introduction

An update tracking and synchronization tool focused on GitHub starred projects. It automatically detects whether the projects you have starred have new versions, new releases, or important commit changes, and generates structured update reports.

Core Features: Provides an HTML visualization dashboard for quickly browsing all starred projects.

When to Use

This skill is triggered in the following scenarios:

  • The user needs totrack updates for GitHub starred projects
  • The user needs tomonitor version releases of dependency libraries
  • The user needs tocheck project activity and health
  • The user needs tomanage a large number of starred repositories
  • The user needs toquickly browse and filter starred projects
  • The user needs togenerate visualization reports for projects

Core Features

1. Update Tracking

  • Version Detection: Detects new releases and tags for projects
  • Activity Monitoring: Tracks recent commit activity
  • Change Summary: Uses AI to summarize version changes

2. Intelligent Analysis

  • Project Summary: Automatically generates descriptions of core project features
  • Value Assessment: Analyzes how well the project matches your areas of interest (high/medium/low)
  • Health Metrics: Project maintenance status, Stars growth trends

3. HTML Visualization Dashboard

  • Information-dense cards: Displays more projects on one screen
  • Color-coded status: Active/recently updated/long inactive at a glance
  • Filtering and search: Filter by status, value, and keywords
  • Expand details: Click a card to view more information

Dependencies

System Dependencies

Dependency Installation Method
Python 3.8+ macOS: brew install python3Linux: sudo apt-get install python3

Python Packages

Package Name Purpose Installation Command
requests HTTP requests, calls the GitHub API pip install requests
python-dotenv Loads configuration from the .env file pip install python-dotenv
openai AI summary generation (optional) pip install openai

Dependency Files

pip install -r assets/requirements.txt

Usage

1. Environment Preparation

Method 1: Use a .env configuration file (recommended)

# 1. 复制示例配置文件
cp .env.example .env

# 2. 编辑 .env 文件，填入你的 API 密钥
# GITHUB_PAT=ghp_xxxxxxxxxxxxxxxxx
# OPENAI_API_KEY=sk-xxxxxxxxxxxx

# 3. 安装依赖
pip install -r requirements.txt

Method 2: Environment variables

# 直接设置环境变量
export GITHUB_PAT="你的_github_pat_token"
export OPENAI_API_KEY="你的_openai_api_key"

How to Get a GitHub PAT

  1. Visit https://github.com/settings/tokens
  2. Click "Generate new token (classic)"
  3. Select permissions:
    • public_repo(access public repositories)
    • If you need to access private stars, check repo
  4. After generation, copy the token (it is shown only once!)

Token Effects：

  • No Token: 60 requests/hour rate limit
  • With Token: 5,000 requests/hour rate limit

2. Start the Dashboard (recommended)

# 导出数据并打开 Dashboard
python scripts/main.py --export --user 你的用户名 && open dashboard.html

First-Time Use Notes: If dashboard.html does not exist, the system will automatically use assets/dashboard.example.html Make a copy.

Dashboard features:

  • 📊 Overview: total projects, active this week, new releases
  • 🔍 Filter: filter by status (active/recently updated/long inactive) and value (high/medium)
  • 🔎 Search: search by project name, description, or tag
  • 📦 Card: show project name, description, language, tags, Stars, update time, and value assessment
  • 🖱️ Click a card: expand detailed information (creation time, Forks, Issues, reason for starring)
  • 🔗 Quick jump: click the GitHub icon to go directly to the project

3. First sync (establish baseline)

python scripts/main.py --init --user 你的用户名 --limit 50

The first run saves a snapshot of all Stars as the baseline for later comparison.

4. Check for updates

python scripts/main.py --check --user 你的用户名

Compare with the previous snapshot and generate an update report.

5. Generate a full report

python scripts/main.py --report --user 你的用户名 --days 7

Generate a full report containing project summaries and update status.

6. Run regularly (recommended)

# 每周检查一次
python scripts/main.py --check --user 你的用户名 --weekly

Configuration and customization

Configuration files

This skill uses the following configuration files:

File Purpose
assets/categories.yaml Category definitions and keyword rules
assets/tags.json Tag management and alias configuration
assets/.env.example Environment variable template

On first run, the configuration files are automatically copied to ~/.github-star-tracker/ directory.

Use cases

  • Developers: stay informed about version updates of dependency libraries
  • Tech enthusiasts: track the latest developments in AI/open source
  • Project managers: monitor the progress of competitors or related projects

Differences from other skills

Feature github-star-tracker repo-research
Focus Updates to starred projects In-depth research on a single repository
Output Dashboard + change summary Architecture analysis and code interpretation
Use case Daily subscription updates One-time in-depth research

Reference documentation