ai-eval-plan
仓库创建 2026年1月29日最近提交 13 小时前SkillHot 收录 20 天前
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把模糊质量目标变成可复现的回归门控测试
这个 Skill 做什么
为模型或提示设计可执行的评测计划、指标与基线
把模糊的“看起来不错”变成可复现的评测计划:定义任务、数据集、指标与基线,设计自动化+人工评测、pass bar 和回归闸门。在要评估 prompt、model 或 agent 性能、设置信号线或把改动纳入 CI/CD 前使用。特点是把定性目标量化,防止改动悄悄把质量拉下去。
▸ 展开 SKILL.md 英文原文
Design an evaluation plan for an LLM or AI feature before shipping it. Use when asked how to evaluate a prompt/model/agent, set up an eval harness, define quality metrics for an AI feature, or build a regression gate. Produces an eval plan — task definition, datasets, metrics & rubrics, baselines, automated + human evals, a pass bar, and a regression gate.
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帮我安装这个 skill:https://raw.githubusercontent.com/mohitagw15856/pm-claude-skills/main/skills/ai-eval-plan/SKILL.md或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/mohitagw15856/pm-claude-skills/main/skills/ai-eval-plan/SKILL.md"SKILL.MD 节选查看完整文件 ↗
# AI Eval Plan Skill You can't improve an AI feature you can't measure, and "it looks good in the demo" is not measurement. This skill produces an evaluation plan that turns a fuzzy quality goal into a repeatable, gated test — so a prompt change that quietly makes outputs worse can't ship. ## Required Inputs Ask for these only if they aren't already provided: - **The feature & task** — what the model does and what "good output" means to a user. - **Failure modes that matter** — what bad looks like (hallucination, wrong format, unsafe, off-tone, too slow). - **Available data** — any real examples, logs, or labelled cases; or note there are none yet. - **Who judges quality** — automated ch
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