Evaluation strategies and quality gates for LLM systems. LLM-as-judge implementation, prompt regression testing, structural and semantic validation pipelines, production monitoring, guardrails, and metrics that actually work. Use when building evals, setting up CI quality gates, testing prompts, measuring output quality, detecting regressions, or adding safety guardrails to AI applications.
How to install eval-and-quality-gates?
crouton-labs/crouton-kit/eval-and-quality-gates
$npx -y skills add crouton-labs/crouton-kit --skill eval-and-quality-gatesInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/crouton-labs/crouton-kit" --skill "crouton-labs/crouton-kit/eval-and-quality-gates"` 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/crouton-labs/crouton-kit" that are relevant to the current task. Run `npx skills add "https://github.com/crouton-labs/crouton-kit"` and select the relevant skills, then follow their instructions.
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