agent 向けテキスト指示（skill / slash command / task プロンプト / CLAUDE.md 節 / コード生成プロンプト）を、バイアスを排した実行者に動かしてもらい、両面（実行者の自己申告 + 指示側メトリクス）で評価して反復改善する手法。改善が頭打ちになるまで回す。プロンプトや skill を新規作成・大幅改訂した直後、またはエージェントの挙動が期待通りにならない原因を指示側の曖昧さに求めたいときに使う。
How to install empirical-prompt-tuning?
myksyut/pev-harness/empirical-prompt-tuning
$npx -y skills add myksyut/pev-harness --skill empirical-prompt-tuningInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/myksyut/pev-harness" --skill "myksyut/pev-harness/empirical-prompt-tuning"` 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/myksyut/pev-harness" that are relevant to the current task. Run `npx skills add "https://github.com/myksyut/pev-harness"` and select the relevant skills, then follow their instructions.
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