Github

What it does

This skill enables AI agents to interact directly with GitHub repositories, allowing them to retrieve repository metadata, list files within specific directories, and read the contents of individual files. It serves as a foundational interface for automating code review workflows or gathering project documentation without manual intervention.

When to use it

• Automatically extracting license information and recent commit history from open-source projects.
• Retrieving specific source code files to analyze dependencies or identify potential security vulnerabilities.
• Gathering repository statistics such as star counts, fork numbers, and contributor lists for data aggregation.
• Fetching README documentation to summarize project functionality for internal knowledge bases.

Key capabilities

• Querying public GitHub repositories by owner and name.
• Listing directory structures and file names within a repository.
• Reading raw content from specific files identified by path.
• Accessing high-level repository metadata including description, language usage, and creation dates.

Example prompts

• "List all Python files in the src directory of the octocat/Hello-World repository."
• "Read the contents of the LICENSE file from the microsoft/vscode repository."
• "Summarize the README documentation for the huggingface/transformers library."

Tips & gotchas

This skill is limited to public repositories; private repositories require specific authentication tokens that this basic implementation may not handle. Ensure your AI agent has clear instructions on which repository owner and name to query, as the skill does not automatically infer context from vague requests.