What problem does it solve?
This Skill automates the tedious, error-prone process of publishing AI-generated test cases into MeterSphere, creating or reusing test plans, and optionally writing back verification results so QA teams can move from case generation to execution faster.
Core Features & Use Cases
- Bulk import and module creation: Group cases by module, create nested child modules, and tag imports with "AI 用例生成".
- Test plan management: Find-or-create a plan under AI workflow classification and associate imported cases idempotently.
- Verification result backwrite: Map verification_cases to plan cases using requirement bridges and auto-mark Pass/Failure/Prepare based on configurable confidence thresholds.
- Smoke-test safety and reporting: Consume smoke_test_report to downgrade execution when P0 defects exist and produce comprehensive ms_sync_report.json, ms_case_mapping.json, and ms_plan_info.json.
- Operational tooling: Uses a helper script to perform MeterSphere API actions and supports environment variable configuration for credentials and defaults.
Quick Start
Use metersphere-sync to import final_cases.json, create or reuse a test plan named "plan_name", and produce ms_sync_report.json.
