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LLM Quality Evaluation(LLM质量评测)

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144,126,000installs
Updated Aug 2026

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Description

LLM 应用质量评测与回归测试实操手册——从"感觉不错"到"可度量可门禁":评测全景与指标体系(正确性/相关性/忠实度/幻觉率/鲁棒性/效率)、评测集构建(黄金数据集/对抗样本/领域评测集/规模估算)、RAG 系统评测(RAGAS 四指标:忠实度/答案相关性/上下文精度/上下文召回)、幻觉检测与度量(事实性幻觉/提示幻觉/上下文矛盾分类与检测方法)、Prompt 回归测试(用例管理/回归门禁/漂移检测/版本对比)、模型对比选型(评测矩阵/成本质量权衡/多模型 A-B/上线决策)、评测流水线与报告(自动化评测/评分聚合/报告模板/上线门禁)。附零依赖本地工具一键查指标、建评测集清单、看 RAG 指标、出对比矩阵、生成评测报告模板。面向 AI 工程师、测试、产品与质量负责人——与 AI 安全红队测试(测安全)互补,本技能测质量。

Install LLM Quality Evaluation(LLM质量评测)

Run this in your OpenClaw agent to add LLM Quality Evaluation(LLM质量评测) from the ClawHub registry.

terminal
$openclaw skills install ai-llm-evaluation

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

危险50/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is LLM Quality Evaluation(LLM质量评测) safe to install?

LLM Quality Evaluation(LLM质量评测) has a SkillsReview security score of 50/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does LLM Quality Evaluation(LLM质量评测) cost?

LLM Quality Evaluation(LLM质量评测) is free to install for OpenClaw via ClawHub.

What are the best alternatives to LLM Quality Evaluation(LLM质量评测)?

You can compare LLM Quality Evaluation(LLM质量评测) side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install LLM Quality Evaluation(LLM质量评测)?

Install LLM Quality Evaluation(LLM质量评测) from ClawHub at clawhub.ai/skills/ai-llm-evaluation, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6120.00 / 5.00
Installs144,126,000
Last UpdateAug 27, 2026
Actively maintained (0d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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