Automates Agentforce agent validation, coverage analysis, and autonomous fix loops for Salesforce AI agents.
This skill provides a robust framework for testing Salesforce Agentforce agents directly within Claude Code. It enables developers to execute automated tests via the sf CLI, generate comprehensive YAML test specifications, and perform deep analysis of topic and action coverage. By implementing a unique 'Agentic Fix Loop,' the skill can automatically detect failures—such as topic selection mismatches or action invocation errors—and coordinate with other Salesforce skills to repair the agent metadata, ensuring high-performance AI implementations that meet production standards.
Características Principales
01Comprehensive 100-point scoring system across five critical validation categories
02YAML-based test spec generation for standardized and repeatable agent testing
0332 GitHub stars
04Interactive simulated and live preview modes for debugging agent behavior
05Automated test execution with real-time coverage metrics for topics and actions
06Agentic Fix Loop for autonomous resolution of failing test cases
Casos de Uso
01Verifying agent routing accuracy and action logic before deploying to production
02Automating regression testing for complex Salesforce AI agent configurations
03Identifying and fixing gaps in topic descriptions to improve agent intent recognition
