What problem does it solve? Validating Agentforce agents after publish is hard: topic routing, action invocation, guardrails, and context preservation all need structured testing, and failures require root-cause analysis before fixes can be applied. This Skill provides a dual-track testing workflow with coverage scoring and automated test-fix loops. ## Core Features & Use Cases - Dual-Track Test Execution: Run multi-turn conversation tests through the Agent Runtime API (Track A) or org-native sf agent test CLI Testing Center specs (Track B), with interactive preview as a quick manual path. - Test Spec Generation & Coverage Analysis: Generate YAML test specs from .agent files, analyze topic selection and action invocation coverage, and score results on a 100-point scale. - Agentic Fix Loop: Classify failures into categories (topic not matched, wrong action, guardrail failure, context loss), delegate fixes to sf-ai-agentscript, re-publish, and re-test up to 3 iterations. - Use Case: After publishing a customer support agent, run multi-turn scenarios to verify it preserves context across turns, escalates on frustration, and invokes the correct Flow actions—then automatically fix and re-test any failures. ## Quick Start Ask the AI to run agent tests for your published Agentforce agent in a target org and report coverage gaps and failures.