agentscout

What This Skill Does

AgentScout is an advanced automation skill designed to bridge the gap between GitHub open-source discovery and viral social media content creation. It functions as an automated content factory for AI agents. By integrating with the GitHub API, AgentScout continuously monitors, fetches, and evaluates trending AI Agent repositories.

Once potential projects are identified, the skill employs an LLM-driven scoring engine that evaluates candidates across four critical dimensions: technical novelty, real-world practicality, suitability for visual-centric social platforms, and developer ease-of-use. After filtering for the highest-performing projects, AgentScout generates a comprehensive package of content, including technical analysis, step-by-step installation tutorials, engagement-focused copywriting tailored for Xiaohongshu, and a suite of professional visual assets. This empowers developers and tech enthusiasts to share cutting-edge AI breakthroughs with a wider audience effortlessly.

Installation

To install AgentScout, ensure your OpenClaw environment is configured and run the following command in your terminal:

clawhub install openclaw/skills/skills/auxito/agentscout

After installation, navigate to the skill's base directory, install the required Python dependencies with pip install -r requirements.txt, and configure your .env file with a valid GITHUB_TOKEN and LLM_API_KEY to enable the discovery and generation pipeline.

Use Cases

• Technical Influencers: Rapidly build a content calendar for tech-focused Xiaohongshu accounts by letting AgentScout handle the research and image design.
• Open Source Maintainers: Gain visibility by letting the tool analyze and present your project for viral potential.
• Trend Researchers: Automatically curate a daily list of top-performing AI Agent frameworks to keep up with the fast-moving industry.

Example Prompts

1. "AgentScout, find the top 3 trending AI agent projects on GitHub today and draft a Xiaohongshu post for the best one."
2. "I found a cool repo at [URL], can you analyze its architecture and create a 9-slide tutorial image set for it?"
3. "Show me the latest high-scoring AI agent projects from this week and generate a catchy caption for the #AIAutomation trend."

Tips & Limitations

• Quality Control: While the generation is automated, always review the post.md content for tone accuracy before publishing to your social media channels.
• API Limits: Ensure your GITHUB_TOKEN has sufficient rate limits if you plan to monitor many repositories simultaneously.
• Visual Assets: The generated images use HTML/CSS templates; you can customize the templates in the output/templates/ folder to match your personal brand aesthetic.