type-validator

To enforce strict TypeScript typing, you can analyze your project sources to detect any usage, missing types, and unsafe casts. This process identifies incomplete interfaces and guides pragmatic fixes to reduce runtime errors.

You can align runtime validations with TypeScript types by integrating Zod schemas and type guards. This ensures that runtime checks match your static type definitions, preventing type mismatches during execution.

To minimize any usage and improve TypeScript code quality, analyze your codebase to locate instances of implicit or explicit any. You can then apply strict type definitions to replace them with safer, explicit interfaces.

No special tooling is required beyond standard Node and npm environments to run static type checking. The analysis operates directly on your TypeScript sources within typical MCP and Xiaozhi client repositories.

Static type checking alone cannot guarantee runtime safety because it does not validate external data shapes. To achieve runtime safety, you must integrate runtime validation tools like Zod schemas alongside your static type guards.