Assess GitHub repo health and classify maintenance risk quickly.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.digitalgremlin/github-repo-intelligence-mcp" MCP server from askskill: Run: claude mcp add --transport http 'io-github-digitalgremlin-github-repo-intelligence-mcp' 'https://joeslade--github-repo-intelligence-mcp.apify.actor/mcp'
Please assess this GitHub repository and return a verdict (maintained, slowing, at-risk, or abandoned). Also explain recent activity, commit trends, and potential risks: https://github.com/example/project
A maintenance verdict with supporting evidence to help decide whether to keep or replace the dependency.
Please provide a maintenance verdict for each of these three GitHub repositories and compare their maintenance stability and long-term viability: [Repo A URL] [Repo B URL] [Repo C URL]
A verdict for each repository plus a comparison to identify the more reliable option.
I plan to adopt this open-source component in a product. Determine whether its GitHub repository is well maintained and summarize any slowdown, maintainer loss, or abandonment risks: https://github.com/example/library
A maintainability verdict and risk summary suitable for technology selection and pre-adoption review.
Analyze public GitHub repos and PRs for risks, findings, and merge readiness.
Monitor multiple GitHub repositories, PRs, issues, deployments, and health in one dashboard.
Analyze GitHub pull requests, diffs, and review status for faster collaboration.
Analyze repository structure, dependencies, and git history to understand projects faster.
Bring GitHub repositories into AI context for search, file access, and analysis.
Fetch and filter GitHub pull request details for review and team coordination.