# Test Plan File Format Test plans (`test-plan-{agent}.yaml`) capture the full interview output for reuse. See `assets/test-plan-template.yaml` for the complete schema. ## Key Sections | Section | Purpose | |---------|---------| | `metadata` | Agent name, ID, org alias, timestamps | | `credentials` | Path to `~/.sfagent/` credentials.env or `use_env: true` | | `agent_metadata` | Topics, actions, type — populated by `agent_discovery.py` | | `scenarios` | List of YAML scenario files + pattern filters | | `partition` | Strategy (`by_category`/`by_count`/`sequential`) + worker count | | `session_variables` | Context variables injected into every session | | `execution` | Timeout, retry, verbose, rich output settings | ## Re-Running from a Saved Plan When a user provides a test plan file, skip the interview entirely: ``` 1. Load test-plan-{agent}.yaml 2. Validate credentials: credential_manager.py validate --org-alias {org} --eca-name {eca} 3. If invalid → ask user to update credentials only (skip other interview steps) 4. Load scenario files from plan 5. Apply partition strategy from plan 6. Execute (team or sequential based on worker_count) ``` This enables rapid re-runs after fixing agent issues — the user just says "re-run" and the skill picks up the saved plan.