langgraph-testing-evaluation
bylubu-labs· 10 skills
Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results.
How to install langgraph-testing-evaluation?
lubu-labs/langchain-agent-skills/langgraph-testing-evaluation
$npx -y skills add lubu-labs/langchain-agent-skills --skill langgraph-testing-evaluationInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/lubu-labs/langchain-agent-skills" --skill "lubu-labs/langchain-agent-skills/langgraph-testing-evaluation"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/lubu-labs/langchain-agent-skills" that are relevant to the current task. Run `npx skills add "https://github.com/lubu-labs/langchain-agent-skills"` and select the relevant skills, then follow their instructions.
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