Openclaw Skills Workflow DAG Validator finds DAG cycles, missing dependencies, and parameter mismatches before bad workflows ship.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install workflow-dag-validator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install workflow-dag-validator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Workflow DAG Validator?
Workflow DAG Validator is an Openclaw Skills command-line tool for analyzing Airflow and Argo Workflows DAGs before deployment. It builds a dependency graph from your workflow definition, then checks for cycles, missing upstream links, orphaned tasks, and parameter inconsistencies across branches.
For data engineers and platform teams, Openclaw Skills turns manual DAG inspection into a repeatable validation step. That means fewer silent task failures, fewer endless runs, and faster reviews for complex, multi-team pipelines.
Workflow DAG Validator Use Cases
- Validate Airflow DAGs before merge or release
- Inspect Argo Workflows for circular dependencies and dead ends
- Catch orphaned tasks and missing upstream dependencies
- Verify parameter names and argument consistency across parallel branches
- Generate an HTML dependency graph with highlighted errors
- Reduce debugging time for stuck or silently failing pipelines
- Add Openclaw Skills to pre-deployment or CI validation flows
How Workflow DAG Validator Works
- Point the validator at a DAG source file using the validate command.
- Parse the workflow definition and build a task dependency graph.
- Analyze the graph for cycles, missing dependencies, orphaned nodes, and parameter mismatches.
- Generate an HTML report that highlights errors in the dependency visualization.
- Review the findings and, in Pro, apply one-click fixes for common dependency issues.
Workflow DAG Validator Setup
- Ensure bash and curl are available, since they are required binaries in the skill metadata.
- Point the validator at your Airflow or Argo workflow file.
- Run validation and open the generated HTML report.
# Validate a DAG and generate an HTML report
bash workflow-dag-validator validate --file airflow_dag.py --report html
Replace airflow_dag.py with the path to your actual DAG file.
Workflow DAG Validator Data Schema & Taxonomy
Input artifacts
| Item | Description |
|---|---|
| DAG source file | Airflow Python DAG file or Argo workflow definition passed with --file |
| Report format | HTML report generated with --report html |
Validation model
| Layer | Structure | Purpose |
|---|---|---|
| Nodes | Tasks, steps, or sub-DAGs | Represent executable workflow units |
| Edges | Upstream/downstream dependencies | Model execution order and branching |
| Parameters | Task arguments and branch inputs | Check consistency across parallel paths |
Findings taxonomy
- Cycle: circular dependency or hidden loop in the DAG
- Missing dependency: a task references an upstream node that does not exist or is not connected
- Orphaned node: a task has no valid upstream path
- Parameter mismatch: inconsistent argument names or values across branches
- Structural issue: general graph integrity problem detected during analysis
Output artifacts
- HTML dependency report with highlighted issues
- Visual graph view for tracing task relationships
- Issue summaries that identify the affected nodes and dependency paths
Metadata taxonomy
workflowdagairflowargoautomation
Workflow DAG Validator Advanced Features
- Detects cycles and circular references in complex workflow graphs
- Flags missing dependencies and orphaned tasks before deployment
- Checks parameter consistency across parallel branches
- Produces a visual dependency graph with error highlights
- Pro tier supports deep structural analysis for 500+ node DAGs
- Pro tier supports bulk validation for multi-team workflow repos
- Pro tier adds one-click auto-fix for common dependency issues
- Fits cleanly into Openclaw Skills CLI-driven review and validation loops
SKILL.md
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