A CLI-based utility from the Openclaw Skills collection that queries the GitHub API to fetch, filter, and summarize top-performing repositories.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-treding
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-treding 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?
The GitHub Trending skill is a lightweight yet highly actionable automation tool designed to help developers and AI agents monitor the global open-source ecosystem. By querying the GitHub Search API, this skill lets users discover rising projects, language trends, and popular developer tools without needing manual browsing or complex configurations.\n\nBy adding this utility to your collection of Openclaw Skills, you can automate tech-stack research, follow competitive codebases, and generate curated developer insights directly within your terminal or automated pipeline workflows.
GitHub Trending Use Cases
- Track rising repositories and emerging technologies within specific development ecosystems.\n- Feed curated lists of top-performing open-source projects into AI agents for automated research.\n- Automate weekly or monthly technical digests of trending codebases with custom cron scripts.\n- Identify high-impact libraries and frameworks based on real-time stars, forks, and language adoption.
How GitHub Trending Works
- The skill triggers a shell script parsing the user's custom timeframe and result count.\n2. It sends an unauthenticated or authenticated query to the GitHub Search API using curl.\n3. The raw JSON payload is processed locally via jq to extract repository metadata including stars, language, description, and forks.\n4. It formats the parsed output into a clean, human-readable terminal summary.
GitHub Trending Setup
System Prerequisites\nEnsure you have curl and jq installed on your machine. You can install them using Homebrew:\n\nbash\nbrew install curl jq\n\n\n### Running the Skill\nExecute the script directly from your terminal. By default, it retrieves the top 15 trending repositories of the current week:\n\nbash\nbash scripts/fetch-trending.sh\n\n\nTo customize the timeframe or result count limit:\n\nbash\n# Custom date range\nbash scripts/fetch-trending.sh "2026-05-15"\n\n# Custom date range with a specific result count limit (e.g., 10 repositories)\nbash scripts/fetch-trending.sh "7-days-ago" 10\n
GitHub Trending Data Schema & Taxonomy
The script processes GitHub's API response and outputs structured plaintext data for each trending repository containing the following fields:\n\n| Field | Description | Example |\n| :--- | :--- | :--- |\n| Rank | Position in the trending chart based on query filters | 1 |\n| Name | Full repository identifier (owner/repo-name) | facebook/react |\n| Description | Truncated summary of the project purpose | A declarative, efficient, and flexible JavaScript library... |\n| Language | Primary programming language used in the repository | JavaScript |\n| Stars | Total stars accumulated by the repository | ⭐ 210000 |\n| Forks | Total forks generated from the project | 🍴 45000 |\n| Link | Direct URL to the GitHub repository | https://github.com/facebook/react |\n\nAll metadata parsing happens locally, making it one of the cleanest Openclaw Skills for CLI extraction.
GitHub Trending Advanced Features
- Custom Date Parsing: Supports dynamic date expressions (e.g., "7-days-ago", "2026-05-15") for granular chronological analysis.\n- Authentication Support: Pass a
GH_TOKENenvironment variable to bypass rate-limiting and scale limits from 10 requests per minute up to 5,000 authenticated requests per hour.\n- AI Agent Integration: Easily piped into downstream Openclaw Skills or LLM contexts to automatically summarize development trends or feed semantic memory scripts.
SKILL.md
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