reporead

What This Skill Does

RepoRead is a powerful AI-driven repository analysis engine designed to bridge the gap between complex source code and human-readable documentation. The skill leverages an MCP (Model Context Protocol) server or REST API to ingest public GitHub repositories and perform deep semantic analysis. By utilizing RepoRead, you can automatically generate comprehensive technical architecture diagrams, identify security vulnerabilities, create professional-grade README files, and produce LLM-optimized summaries of large codebases. It is an essential tool for developers and architects who need to onboard quickly into legacy projects, perform audits, or generate documentation for open-source repositories.

Installation

To integrate RepoRead into your workflow, first ensure you have your API key from reporead.com. The preferred method of installation is through the OpenClaw CLI: clawhub install openclaw/skills/skills/gdperkins/reporead. Once installed, configure your environment by exporting your API key: export REPOREAD_API_KEY="rrk_your_api_key_here". For enhanced functionality, add the provided configuration block to your MCP host settings (e.g., claude_desktop_config.json). This allows the skill to directly communicate with the RepoRead API to queue jobs, fetch results, and manage repository imports seamlessly. If you prefer to run it manually, ensure the helper scripts in the scripts/ directory are executable.

Use Cases

RepoRead excels in scenarios where code comprehension is the bottleneck. Use it to perform automated security audits on public repositories to flag potential issues before contributing. It is highly effective for technical onboarding, where a developer needs a high-level overview of a repo's architecture without manually traversing every folder. Furthermore, it is the perfect tool for maintainers to keep documentation up-to-date, as it can generate new README files or architectural diagrams based on the latest commit activity.

Example Prompts

1. "Analyze the repository at https://github.com/example/repo and generate a technical architecture summary and a list of potential security vulnerabilities."
2. "Create a professional README.md file for the repository with ID 12345, focusing on installation instructions and core features."
3. "Check the status of my repository analysis for project X and summarize the current findings into a concise report for my team."

Tips & Limitations

To get the most out of RepoRead, ensure that your repository has a clear structure and that you have sufficient token credits in your account, which can be monitored via get_token_balance(). Currently, the skill only supports public GitHub repositories. For very large codebases, the initial analysis may take several minutes; use the get_analysis_status tool to poll for progress rather than waiting for long-running processes to terminate. Always review security audit results manually, as AI-generated security reports should serve as a secondary check, not as a replacement for professional human security review.