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Lanqiao-LucaLanqiao-Luca/ai-java-workflow/skills/capability-evaluation/SKILL.md

capability-evaluation

Skill220 starsChanged 8 days agoMITView on GitHub

在固定任务与明确标签下对照能力策略,记录正确率、漏检、误报、脚本纠正与耗时;不把微型离线实验当真实模型或工程收益。

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SKILL.md

目的:将明确评估问题适配成同输入实验与可重算证据,交付限定结果和未测维度。

适用于:责任 Agent 已接收任务集合、策略、判定依据、环境与运行预算的有限对照实验。

能力对照评估

消费CE01–CE05,先固定任务/标签及基线意义,核同输入、初始判定与纠正阶段分开。按验证记录真实执行与未测项。

对仓库首批反证报告任务,可使用基准工具和固定案例。工具只比较报告结构判定;基线是明确故意简化的字段检查,不是模型、用户原实践或外部产品。

逐项保初始判断、标签、状态、计时、预设纠正次数;复算漏检/误报及分母。脚本还原不等人工返工,单次耗时不宣传提速;没有测量的模型成本、人工改码和业务效果保 NOT_MEASURED。

输出任务/策略/输入摘要、原始观察、汇总、限制和下一接收者。候选变化重建实验;不自动采私密数据、调用模型、对外发布或后台复跑。

返回:Skills。

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