LLM Evaluation
LLM evaluation and testing patterns including prompt testing, hallucination detection, benchmark creation, and quality metrics. Use when testing LLM applications, validating prompt quality, implementing…
Overview
MD Skills lists LLM Evaluation as an agent skill in Testing & QA. The source repository is applied-artificial-intelligence/claude-code-toolkit. The source listing includes a SKILL.md file. Open the original instructions to review what the skill asks the agent to do before installing it.
Getting started
Open the source file and follow the project’s installation instructions for your agent.
Skill instructions
Sources and documentation
- https://www.mdskills.ai/skills/llm-evaluation
- https://github.com/applied-artificial-intelligence/claude-code-toolkit/tree/main/skills/llm-evaluation
Related MCP servers and skills
- RAG ImplementationAgent skill
- Plain LanguageAgent skill
- Scqa FrameworkAgent skill
- Pyramid PrincipleAgent skill
- Project SetupAgent skill
- AEGIS Governance — six-gate decision evaluation with hash-chained audit trails (stdio via PyPI + hosted Streamable HTTP)MCP server