A lightweight, zero-dependency Python tool to scrape and track trending GitHub repositories by period and programming language.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-trending-stable
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install github-trending-stable using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is GitHub Trending Stable?
GitHub Trending Stable is a high-performance Openclaw Skills utility designed to fetch the most popular repositories on GitHub. It operates by scraping the GitHub trending page directly, meaning it requires no API keys or complex authentication tokens to function. This makes it an ideal solution for developers and AI agents that need to stay updated on emerging software trends without hitting rate limits.
The skill is built with stability and portability in mind, utilizing only the Python standard library. It provides clean, structured data regarding repository descriptions, total star counts, and the number of stars gained during the specified period (daily, weekly, or monthly). Whether you need a human-readable list or raw JSON for downstream processing, this skill delivers real-time insights into the global developer ecosystem.
GitHub Trending Stable Use Cases
- Tracking daily or weekly hot projects to stay ahead of industry trends.
- Filtering trending repositories by specific programming languages like Python, Rust, or TypeScript.
- Automating research tasks for AI agents to find popular open-source libraries.
- Generating periodic reports on GitHub activity for newsletters or internal dashboards.
How GitHub Trending Stable Works
- The user or AI agent triggers the script with desired parameters such as period (daily/weekly/monthly) and language.
- The script initiates an HTTP request to GitHub's trending URL using urllib.
- It parses the returned HTML content using a robust, native HTML parser to extract repository metadata.
- The tool calculates statistics based on the specified timeframe and applies any user-defined limits on the number of results.
- Finally, it outputs the formatted results to the console as either a stylized text list with emojis or a valid JSON object.
GitHub Trending Stable Setup
Since this tool relies exclusively on the Python standard library, no external package installation is required. Ensure you have Python 3.x installed.
# Navigate to the skill directory
cd github-trending-stable/
# Run with default settings (Weekly trending, top 15)
python scripts/github_trending.py weekly
# Filter by language and limit results
python scripts/github_trending.py daily --language python --limit 10
GitHub Trending Stable Data Schema & Taxonomy
The skill provides structured output. When the --json flag is used, it follows this schema:
| Field | Type | Description |
|---|---|---|
rank |
Integer | The current trending position (1-based index). |
full_name |
String | The owner and repository name (e.g., 'owner/repo'). |
url |
String | The direct URL to the GitHub repository. |
description |
String | A brief summary of the project. |
language |
String | The primary programming language used. |
stars_total |
String | The total number of stars the project has accumulated. |
stars_gained |
Integer | Stars earned specifically within the requested period. |
updated_at |
ISO8601 | Timestamp of the data fetch in UTC+8. |
GitHub Trending Stable Advanced Features
- Support for language aliases (e.g., using
pyfor Python orrsfor Rust) to speed up CLI interactions. - Headless operation: Works entirely via HTTP requests without needing a browser engine like Selenium or Playwright.
- JSON output mode: Enables seamless integration into larger Openclaw Skills automation pipelines.
- Cross-platform encoding support for Windows environments using the
PYTHONIOENCODINGflag.
SKILL.md
Loading
Related Openclaw Skills
Zotero Local Import
A specialized command-line utility for AI agents to bridge local file systems with the Zotero research manager across Windows, macOS, and Linux.
Content Monetization Assistant
An AI-powered strategist that helps creators assess content value, select monetization channels, and build actionable revenue models.
Yelp
A comprehensive tool for searching Yelp businesses, analyzing review trends, and auditing listing quality through official APIs and public data.
WeChat Article Spider
A specialized Python crawler designed to transform WeChat Official Account articles into clean Markdown files with locally preserved images.
Daily Journal
A privacy-centric, local-first daily journaling tool for tracking life events, moods, and gratitude without external dependencies.
Jarvis
Jarvis transforms your AI agent into a calm, high-leverage executive operator focused on sharp prioritization and proactive follow-through.
Featured*
