Check Agent v1.0.0

To detect broken paths and circular dependencies, you can scan your codebase to build a dependency graph that evaluates files against predefined rules and identifies invalid references. This generates detailed findings with severity levels and actionable remediation suggestions.

Workflow validation for code integrity is the process of scanning workspace definitions to ensure all file references are valid and corresponding skill definitions exist. It checks for missing files, outdated formats, and duplicate definitions before they cause runtime problems.

Yes, you need Python scripts to run this code scanning and dependency analysis. The processing logic requires Python scripts for scanning the workspace, analyzing the dependency graph, and evaluating files against predefined rules.

To check for missing files and duplicate definitions before merging, run an automated workspace scan that evaluates your code against predefined rules. This validates that new code references are correct and no critical dependencies are broken.

The best way to automate code quality linting for workflow definitions is using an agent that scans the workspace, builds a dependency graph, and evaluates files against predefined rules. This provides detailed findings with severity levels and remediation suggestions.