testpoint-deduplicator

Name: testpoint-deduplicator
Availability: InStock
Author: liwanlei

Deduplicate test points by semantic similarity and output Markdown tables.

63|14|Updated Apr 27, 2026

Search Tags:#quality assurance #deduplication #semantic similarity #markdown output #test case design #testpoints #workflow processing

Ready to run

npx skills add https://github.com/liwanlei/AITestCraft --skill testpoint-deduplicator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: testpoint-deduplicator
Source: https://github.com/liwanlei/AITestCraft/tree/main/skills/testpoint-deduplicator
Command: npx skills add https://github.com/liwanlei/AITestCraft --skill testpoint-deduplicator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

解决测试点列表中语义相近或内容重复的问题，避免重复用例与资源浪费，提升测试设计的有效性与一致性。

Core Features & Use Cases

语义重复识别：基于场景、行为、断言目标与语义相似度定位重复测试点。
合并去重输出：输出“去重后的测试点”与“重复项映射”，便于审查与追溯。
优先级保留：在去重后结果表中保留模块、类型、测试点描述与优先级字段，便于后续流程直接使用。

Quick Start

将你的测试点表格内容作为输入传给 testpoint-deduplicator，并直接获得去重后的测试点列表及重复项对照表。

Frequently Asked Questions about testpoint-deduplicator

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

FAQPage Schema

How do I deduplicate test points in a test design workflow?▼

To deduplicate test points, submit your test point list to detect semantic duplicates based on matching scenarios, behaviors, assertion targets, and similarity. The tool outputs a deduplicated Markdown table and a duplicate mapping for review.

What is semantic duplicate detection for test cases?▼

Semantic duplicate detection identifies repeated coverage statements and actions in test design by evaluating semantic similarity. It merges redundant entries while preserving priority, module, and description fields for consistent test design.

How can I merge similar test cases without losing priority and module data?▼

You can merge similar test cases by processing the list through semantic similarity matching. The deduplicated output retains module, type, test point description, and priority fields, ensuring traceability for subsequent testing procedures.

What is the best way to identify duplicate assertions in a test point list?▼

The best way to identify duplicate assertions is evaluating assertion targets and semantic similarity across test points. This approach merges duplicates according to matching scenarios and outputs a clear duplicate mapping table.

Does the deduplication output support Markdown format for test point tracking?▼

Yes, the deduplication output supports Markdown format. The tool generates Markdown tables for both the deduplicated test points and the duplicate mappings, facilitating direct review and integration into your documentation.