skills.rest
HermeticOrmus
HermeticOrmusCOMMUNITY
Explore all skills by this author →
Website𝕏@dbodartmGitHub

llm-evaluation

Evaluates LLM outputs using automated metrics, human feedback, and LLM-as-Judge techniques.

89|14|Updated Nov 15, 2025
Search Tags:#testing#performance#llm#benchmarking#metrics#evaluation#ai quality
One-click install
npx skills add https://github.com/HermeticOrmus/LibreUIUX-Claude-Code --skill llm-evaluation-hermeticormus
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: llm-evaluation
Source: https://github.com/HermeticOrmus/LibreUIUX-Claude-Code/tree/main/plugins/llm-application-dev/skills/llm-evaluation
Command: npx skills add https://github.com/HermeticOrmus/LibreUIUX-Claude-Code --skill llm-evaluation-hermeticormus

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) and scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of systematically measuring and improving the performance of Large Language Models (LLMs) in various applications.

Core Features & Use Cases

  • Automated Metrics: Implements standard metrics like BLEU, ROUGE, BERTScore, Accuracy, Precision, Recall, F1, MRR, and NDCG for quantitative evaluation.
  • Human Evaluation: Provides frameworks for collecting and analyzing human judgments on dimensions like accuracy, coherence, relevance, fluency, safety, and helpfulness.
  • LLM-as-Judge: Enables using powerful LLMs to evaluate outputs from other models, either pointwise or pairwise.
  • A/B Testing & Regression: Includes tools for statistical analysis of A/B tests and detection of performance regressions.
  • Use Case: When deploying a new chatbot, use this Skill to run automated metrics against a benchmark dataset, conduct human evaluations on a sample of conversations, and perform A/B tests on different prompt strategies to ensure quality and identify regressions before release.

Quick Start

Use the llm-evaluation skill to evaluate your model's accuracy and BLEU score against a set of test cases.

Frequently Asked Questions about llm-evaluation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I measure LLM performance using automated metrics?▼

Measure LLM performance using automated metrics like BLEU, ROUGE, BERTScore, and F1 to quantitatively evaluate model accuracy and text generation quality against benchmark datasets.

What is the LLM-as-Judge approach for evaluating AI quality?▼

LLM-as-Judge is an evaluation strategy where powerful LLMs assess outputs from other models pointwise or pairwise, providing automated quality judgments to scale AI application testing.

How do I run A/B tests to detect LLM performance regressions?▼

Run A/B tests on different prompt strategies and use statistical analysis tools to detect performance regressions, ensuring chatbot quality and measuring significant changes before deployment.

Can I collect human feedback to evaluate chatbot coherence and fluency?▼

Collect human feedback using provided evaluation frameworks to analyze judgments on dimensions like coherence, relevance, fluency, and safety, supplementing automated NLP metrics with qualitative reviews.

Do I need NLP libraries to benchmark LLM applications?▼

Benchmarking LLM applications requires NLP libraries for calculating metrics and statistical analysis tools, alongside potential LLM interaction capabilities to execute LLM-as-Judge evaluation scenarios.

When should I use regression testing for LLM applications?▼

Use regression testing for LLM applications when deploying updates or changing prompt strategies, running automated metrics against benchmark datasets to identify performance drops before release.

Related Skills

Explore More Software Engineering Skills→
amurataamurata
6

llm-evaluation

Evaluate LLM applications using automated metrics, human feedback, and benchmarking.

Community
Advanced
shafibabarshafibabar
1

go-performance-test

Compare Go benchmark results against committed baselines using benchstat.

Community
Advanced
wx-chevalierwx-chevalier
10

skill-creator

Create, test, and optimize AI skills with SKILL.md and evaluation workflows.

Community
Advanced
ethan-rioethan-rio

arize-annotation

Manage human annotation workflows for Arize LLM observability projects.

Community
Intermediate