Drive AI application evaluations using the EvalSurfer skill-first workflow. Use when creating AI eval rubrics, reviewing RAG outputs, checking agent tool use, assessing safety, or calculating operational metrics like latency, TTFT, inter-token latency, throughput (tokens per second), P99 tail latency, cost, cost per million tokens, token efficiency, failure rate, and latency under load.
How to install eval-surfer?
di37/evalsurfer/eval-surfer
$npx -y skills add di37/evalsurfer --skill eval-surferInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/di37/evalsurfer" --skill "di37/evalsurfer/eval-surfer"` 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/di37/evalsurfer" that are relevant to the current task. Run `npx skills add "https://github.com/di37/evalsurfer"` and select the relevant skills, then follow their instructions.
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