Configure and execute AI evaluation workflows on the Coval platform.
npx skills add https://github.com/coval-ai/coval-external-skills --skill onboard-coval-ai
Please help me install this Agent Skill. Skill: onboard Source: https://github.com/coval-ai/coval-external-skills/tree/main/skills/onboarding/onboard Command: npx skills add https://github.com/coval-ai/coval-external-skills --skill onboard-coval-ai
This skill removes the complexity of setting up AI evaluation workflows by automating the installation, configuration, and execution of your first Coval evaluation run.
Run the onboard skill to start the guided setup process for your new AI agent evaluation.
High-intent search queries and answers about installing and using this skill.
AI evaluation workflow setup is automated by orchestrating end-to-end configuration within the Coval platform. It manages the creation of agents, personas, test sets, and metrics based on specific industry use cases, then executes the simulation runs automatically.
The Coval CLI is required to interface with the evaluation engine and execute simulation runs. The guided setup provides a step-by-step walkthrough for CLI installation and authentication to ensure your environment is configured correctly for automated resource creation.
Automated AI evaluation removes the complexity of testing by automatically generating personas, test sets, and metrics tailored to your use case. For a customer support agent, the system builds the entire test suite and launches the first simulation run automatically.
Yes, automated resource creation generates personas, test sets, and metrics based on your specific industry use case. This allows developers testing new agents to bypass manual evaluation structuring and launch a fully configured simulation run directly.
The best way to structure an AI evaluation is to use a guided setup that automates the creation of personas, test sets, and metrics. This ensures your workflow is correctly configured for your specific use case before executing the simulation run through the CLI.
coval-aiDerive simulation personas from backend payloads, UI screenshots, and user transcripts.
coval-aiAnalyze Coval accent testing reports to identify performance regressions across speaker personas.
J03Fr0stAutomate CI/CD pipeline setup with GitHub Actions and quality gates.
pathtoresiliencebvSpawn a cloud agent with computer use to validate UI changes.
