An intelligent Openclaw Skills utility that clones GitHub repositories and utilizes DeepSeek AI to perform deep code quality and security audits.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-code-analyzer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install github-code-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The GitHub Code Analyzer is a robust tool designed to bring automated repository auditing to the Openclaw Skills ecosystem. By integrating directly with git and DeepSeek's advanced large language models, it allows developers to gain immediate visibility into the health of any public codebase. The skill focuses on identifying structural patterns, hidden bugs, and potential security vulnerabilities that manual reviews might miss.
This skill is particularly valuable for developers who need to vet open-source dependencies or perform rapid architectural reviews. By leveraging specialized models like deepseek-coder, the analyzer provides context-aware suggestions that go beyond simple linting, offering a sophisticated AI-driven perspective on project maintainability and performance.
To get started with this tool in your Openclaw Skills environment, ensure you have a git client installed and your DeepSeek API credentials configured.
# Run an analysis on a target repository
analyze https://github.com/owner/repo
# Specify a specialized model for deeper code logic analysis
analyze https://github.com/owner/repo --model deepseek-coder
The GitHub Code Analyzer organizes its findings into a clear, actionable format. The data processed includes:
| Data Point | Description |
|---|---|
| Project Structure | A visual map of the repository's folders and core files. |
| Quality Assessment | High-level metrics on code cleanliness and readability. |
| Bug Identification | A list of logical flaws or potential runtime errors found in samples. |
| Security Vulnerabilities | Highlights of insecure coding patterns or exposed risks. |
| Improvement Roadmap | Ranked suggestions for refactoring and architectural enhancement. |
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