Exposes a run_suite tool to evaluate whether an AI agent is safe to operate internal web apps, scoring task completion and forbidden-action violations to gate CI/CD pipelines.
Enables AI assistants to run and analyze pytest tests for desktop applications through interactive commands. Supports test execution, filtering, result analysis, and debugging for comprehensive test automation workflows.
Enables AI assistants to run Vitest tests and analyze code coverage, supporting test-driven development workflows with tools for test execution and coverage analysis.
Enables LLM clients to generate standardized test cases, perform quality control with lint scoring, convert to Xray/Jira format, and compose test suites (Smoke/Regression/E2E) with coverage analysis.
Enables AI assistants to analyze Java and Web projects, automatically generate unit tests (JUnit) and end-to-end tests (Selenium), and execute them directly through Maven or NPM commands.