ai-prompt-eval-kit

Construct evaluation datasets and generate comparison reports for offline AI prompt testing.

3|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/junchenghuo/openclaw-biz-agent --skill ai-prompt-eval-kit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-prompt-eval-kit
Source: https://github.com/junchenghuo/openclaw-biz-agent/tree/main/ai/.agents/skills/ai-prompt-eval-kit
Command: npx skills add https://github.com/junchenghuo/openclaw-biz-agent --skill ai-prompt-eval-kit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill allows for the evaluation of AI prompt quality without relying on external paid services, enabling cost-effective and private prompt testing.

Core Features & Use Cases

  • Offline Evaluation: Assess prompt performance using locally defined datasets and metrics.
  • A/B Testing: Compare different prompt versions side-by-side to identify the most effective one.
  • Use Case: Before deploying a new AI feature, use this Skill to rigorously test various prompt phrasings against a curated set of examples to ensure optimal performance and safety.

Quick Start

Use the ai-prompt-eval-kit skill to build an offline evaluation dataset for the 'customer support' task.

Frequently Asked Questions about ai-prompt-eval-kit

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

FAQPage Schema
How do I evaluate AI prompts offline without external API calls?

Evaluate AI prompts offline by constructing local evaluation datasets and generating comparison reports. This approach enables cost-effective, private prompt testing by processing structured data locally without relying on external paid services.

What is the best way to A/B test different AI prompt versions locally?

A/B test AI prompts by comparing different prompt versions side-by-side against a curated set of examples. This generates comparison reports to identify the most effective phrasing, ensuring optimal performance and safety before deployment.

Can I assess prompt performance using locally defined datasets and metrics?

Yes, you can assess prompt performance using locally defined datasets and metrics. The offline evaluation process applies structured data generation to measure prompt quality against your curated examples without requiring external API calls.

Do I need external paid services to test AI prompt quality?

No, you do not need external paid services to test AI prompt quality. The offline evaluation kit allows rigorous prompt testing against curated examples locally, ensuring cost-effective and private prompt evaluation.

How do I build an offline evaluation dataset for a customer support task?

Build an offline evaluation dataset for the customer support task by processing local files and generating structured data. This curated set of examples is then used to rigorously test various prompt phrasings and assess performance.