Validates AI-generated code to detect signature drift, phantom imports, and architectural violations that traditional linters miss.
Camouf Validate is a specialized quality assurance tool designed to bridge the gap between AI code generation and reliable production software by identifying common errors inherent in LLM workflows. It scans your project to catch "phantom" imports, mismatched function signatures, and contract violations that occur when an AI assistant loses context or hallucinates API structures. By invoking the camouf_validate MCP tool, developers can ensure cross-file consistency, enforce architectural boundaries, and resolve hallucinated references before they are committed to the repository.
主要功能
01Validates API contracts against OpenAPI and GraphQL schemas to prevent runtime failures
02Provides actionable fix suggestions for every detected violation
03Detects function signature drift and renamed methods caused by AI context loss
04Identifies hallucinated imports and phantom type references that don't exist in the codebase
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06Enforces architectural layer dependencies and circular dependency checks
使用场景
01Enforcing clean architecture patterns by preventing unauthorized cross-layer imports
02Verifying cross-file consistency after an AI assistant completes a large multi-file refactor
03Checking for hallucinated library imports or non-existent function calls before committing code
