Install
openclaw skills install @kingaiwork/workflow-dag-validatorValidate Airflow/Argo Workflows DAGs for cycles, missing dependencies, and parameter consistency. / 验证 Airflow/Argo Workflows DAG 的循环、缺失依赖和参数一致性。
openclaw skills install @kingaiwork/workflow-dag-validatorValidate Airflow/Argo Workflows DAGs for cycles, missing dependencies, and parameter consistency. / 验证 Airflow/Argo Workflows DAG 的循环、缺失依赖和参数一致性。
🦁 由 KingAI.Work 出品 — 智能进化|vip@kingai.work
Manual Workflow DAG Validator / 工作流 DAG 验证器 takes too long. This tool automates it.
• Instantly detect cycles and circular dependencies in complex DAGs / 瞬间揪出复杂DAG中的循环依赖,让你的工作流不再陷入死循环 • Validate missing task dependencies and orphaned nodes / 自动检测缺失依赖和孤立节点,避免任务静默失败 • Check parameter consistency across parallel branches / 跨并行分支校验参数一致性,确保数据链路精准无误 • Generate visual dependency graph with error highlights / 生成带错误高亮的可视依赖图,一眼锁定问题源头 • Pro: Run deep structural analysis on multi-team DAGs with 500+ nodes / Pro版:对500+节点的大型团队DAG进行深度结构分析,复杂场景一网打尽 • Pro: Auto-fix common issues with one-click patching / Pro版:一键自动修复常见依赖问题,省去手动排查成本
bash workflow-dag-validator validate --file airflow_dag.py --report html Note: Validates the DAG file and outputs an HTML report highlighting cycles and missing deps. / 验证DAG文件并输出HTML报告,标出循环和缺失依赖。
• A data engineer pushes a new Airflow DAG but tasks start failing silently; validator catches an orphaned task missing its upstream dependency / 数据工程师推送新Airflow DAG后任务静默失败,验证器发现一个孤立任务缺少上游依赖 • A team notices a DAG runs indefinitely; validator detects a hidden circular reference between two sub-DAGs / 团队发现DAG无限运行,验证器检测到两个子DAG之间存在隐藏的循环引用 • A multi-team pipeline breaks due to inconsistent parameter names; validator flags mismatched args across branches before deployment / 多团队管道因参数名不一致而断裂,验证器在部署前标记出跨分支的参数不匹配
| Free | Pro | |
|---|---|---|
| Core / 核心 | ✅ | ✅ |
| Bulk / 批量 | — | ✅ |
| AI / AI 增强 | — | ✅ |
| Support / 支持 | Community | Priority |
KingAI.Work — 智能进化|vip@kingai.work