| name | test-runner |
| version | 1.0.0 |
| description | Validate generated multi-agent systems: check SKILL.md syntax, verify openclaw.json config, run Lobster workflows against test data, verify result writes to data-ingestion service. |
| user-invocable | false |
| metadata | {"openclaw":{"requires":{"bins":["curl","jq"],"env":["DATA_INGESTION_BASE_URL"]}}} |
Test Runner Skill
End-to-end validation of generated multi-agent systems.
Test Phases
Phase 1: Static Validation
- Check YAML frontmatter exists and is valid
- Check required fields: name, description, version
- Check metadata.openclaw.requires.env includes DATA_INGESTION_* vars
- Check instructions section is non-empty
- Validate openclaw.json structure
- Validate Lobster workflow DAG
Phase 2: Schema Provisioning
Provision test org/agent schema via data-ingestion service.
Phase 3: Smoke Test Execution
Run each processing skill with mock/minimal input data.
Phase 4: Write Verification (CRITICAL)
Query result_metrics for test run. FAIL if zero rows written.
Phase 5: Cleanup
Delete test data using the data-ingestion delete endpoint.
Output a JSON report with pass/fail status for each phase.
