AgentV Eval Builder
Generates and maintains structured YAML evaluation files for testing AI agent performance and response accuracy.
The source repository doesn't declare a license. Check its terms before reusing the code.
Key features
- Schema-validated YAML generation for structured agent test cases
- Configuration of LLM judges for qualitative response assessment
- Support for multi-role conversation threading including system, user, assistant, and tool roles
- Sequential evaluator chaining for multi-stage testing workflows
- Integration of custom code-based evaluators for programmatic validation
Use cases
- Creating regression tests for agent workflows using real-world file inputs and expected outcomes
- Implementing automated quality gates that combine programmatic unit tests with LLM-based reasoning
- Benchmarking a new AI agent's performance against specific coding or reasoning tasks
FAQ
When should I use this skill?
Use this skill when you are developing Agentic AI and need to benchmark performance. It is ideal for creating new evaluation suites, adding specific test cases, or configuring custom LLM judges and code-based validators for your testing pipeline.
How does this skill improve my AI development workflow?
It automates the creation of schema-validated test files, reducing manual configuration errors. By supporting evaluator chaining and multi-role conversation threading, it allows you to build complex, reliable, and repeatable testing workflows for any LLM application.
What is the AgentV Eval Builder skill?
AgentV Eval Builder is a specialized tool for Claude Code designed to generate and maintain structured YAML evaluation files. It helps developers create rigorous test cases to measure AI agent performance, response accuracy, and behavior across various scenarios.
Does it support custom validation logic?
Yes. You can configure 'Code Evaluators'—scripts that validate agent outputs programmatically via JSON contracts—and 'LLM Judges' that use language models to perform qualitative assessments of the agent's responses.
What capabilities does AgentV Eval Builder provide?
The skill provides schema-validated YAML generation, support for system/user/assistant/tool roles, and the ability to integrate programmatic code evaluators or LLM-based judges. It also allows for sequential evaluator chaining to perform multi-stage validation.
Related skills
Lint Fixer
Identifies and resolves linting errors, formatting issues, and type discrepancies while maintaining code functionality.
Security Testing20,67612 ptsWheels Anti-Pattern Detector
Detects and automatically fixes common errors and anti-patterns in ColdFusion Wheels framework code before generation.
Security Testing20012 ptsCode Quality & Testing Framework
Enforces rigorous code quality standards and implements comprehensive multi-layer testing infrastructure to ensure production-grade software reliability.
Security Testing412 pts