Agent
Verify that PR review comments were substantively addressed in code, not just checkbox-resolved. Used as a sub-agent by connector-review or standalone.
12 tagged metadata, measured the same way as everything else here.
Browse within: data-catalog 7data-profiling 6datadiscovery 6dataquality 6metadata-management 6Multimodal 5caching 5data 5pipelines 5python 5
Agent
Verify that PR review comments were substantively addressed in code, not just checkbox-resolved. Used as a sub-agent by connector-review or standalone.
Agent
Review TypeScript/React code changes against OpenMetadata frontend patterns and CI checkstyle rules — ESLint, Prettier, import organization, license headers, i18n sync, Playwright lint, and component architecture.
Agent
Review Java code changes against OpenMetadata backend patterns and Kafka-grade quality standards — method size limits, IntelliJ-level inspections, immutability, granular error handling, and human-readable code.
Agent Claude Code
Analyze DataHub smoke and integration test files for quality, standards compliance, and anti-patterns. Reports findings with severity levels and file:line references. Context: A PR adds new smoke tests for the incidents feature. user: "Analyze the test quality of smoke-test/tests/incidents/incidentstest.py" assistant…
Agent Claude Code
Use this agent when you need to create GitHub issues for the project. The agent will collaborate with planner and python-dev agents to properly scope and describe the issue, then format it according to project standards before seeking user confirmation.\n\nExamples:\n- \n Context: The user wants to create a GitHub…
Agent Claude Code
Use this agent when the user presents a complex, multi-step task that requires clarification, decomposition, or planning before execution. This includes:\n\n \nContext: User requests a large feature implementation that spans multiple components.\nuser: "I need to add support for PostgreSQL as a metadata store…
Agent Claude Code
Use this agent when you need to write, refactor, or review Python code that requires expert-level quality, maintainability, and adherence to best practices. This includes:\n\n- Writing new Python modules, classes, or functions from scratch\n- Refactoring existing code to improve design, performance, or…