Skills and MCP tagged “evaluation”

repo-intake-and-plan lllllllama skill Scans a repository through its README and project files, then builds a small reproduction plan. Use it before running experiments. Claude Code CX Codex Cursor +1 474,500installs llm-evaluation Seth Hobson skill A skill for evaluating LLM applications: automated metrics, human feedback, LLM-as-judge and benchmarking. Useful when comparing models or catching regressions before deploy. Claude Code CX Codex Cursor 12,755installs eval-driven-dev official github skill Builds end-to-end evaluations for Python applications that call an LLM, from criteria and test data to scored runs. Use it for QA, benchmarks, and investigating wrong responses. GitHub Copilot 3,900installs arize-dataset official arize skill This skill manages Arize datasets and examples through ax. Use it for test sets, evaluation examples, and dataset exports. GitHub Copilot 1,100installs setup Alireza Rezvani skill Sets up an autoresearch experiment by collecting its target file, evaluation command, metric, and optimization direction. Use it before starting an optimization loop. Claude Code 1,480installs eval Alireza Rezvani skill Evaluates and ranks agent results from an AgentHub session using test metrics or an LLM judge. Helps select the winning branch. Claude Code 1,408installs arize-ax official Arize AI plugin The plugin adds Arize AX skills for tracing, evaluating, and tuning LLM applications. Use it to inspect traces, run experiments, and optimize prompts. GitHub Copilot ★ 40,369repo stars