技能 pypict-skill
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pypict-skill

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Generate Pairwise Test Cases

This skill helps you generate comprehensive pairwise test cases using combinatorial testing techniques. It enables efficient test coverage by identifying the minimum number of test combinations needed to expose defects.

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測試它

正在使用「pypict-skill」。 Generate pairwise test cases for username and password fields with values: username (valid, invalid, empty) and password (valid, invalid, empty)

預期結果:

  • Test 1: username=valid, password=valid
  • Test 2: username=valid, password=invalid
  • Test 3: username=invalid, password=valid
  • Test 4: username=empty, password=empty

正在使用「pypict-skill」。 Create test matrix for browser testing: Chrome, Firefox, Safari with OS: Windows, Mac, Linux

預期結果:

  • Test 1: Chrome on Windows
  • Test 2: Chrome on Mac
  • Test 3: Firefox on Linux
  • Test 4: Safari on Windows
  • Test 5: Firefox on Mac
  • Test 6: Safari on Linux

安全審計

安全
v1 • 2/24/2026

All static findings are false positives. The skill contains only documentation for pairwise test generation (PICT). URLs at lines 4 and 22 are documentation references, not executable network code. The 'weak cryptographic algorithm' alerts are false positives - 'pict' refers to pairwise independent combinatorial testing, not cryptography. No security risks identified.

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審計者: claude

品質評分

38
架構
95
可維護性
87
內容
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安全
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規範符合性

你能建構什麼

QA Engineer Creating Test Plans

QA engineers can use this skill to generate efficient test case combinations for multi-parameter features, reducing test execution time while maintaining coverage.

Developer Writing Unit Tests

Developers can apply pairwise testing to create focused test suites that cover parameter interactions without exhaustive combination testing.

Test Lead Planning Coverage Strategy

Test leads can leverage this skill to plan combinatorial testing strategies and communicate coverage optimization techniques to their teams.

試試這些提示

Basic Pairwise Test Generation 
Help me generate pairwise test cases for a login form with fields: username, password, remember_me, and language. Show me the test combinations.
Multi-Parameter Configuration Testing 
I need pairwise test cases for an API configuration with these parameters: protocol (http, https), auth (none, basic, oauth), format (json, xml), and cache (true, false). Generate the minimum test set.
Constraint-Based Test Generation 
Generate pairwise tests for a shopping cart with: product_type (book, electronics, clothing), shipping (standard, express, overnight), and gift_wrap (yes, no). Apply constraint: electronics cannot have gift_wrap. Show the valid combinations.
Edge Case Coverage Analysis 
Analyze this scenario and identify which pairwise combinations would likely catch the most defects: user registration with fields for email, phone, country, age_group, and subscription_type. What is your recommended test set?

最佳實務

  • Start with identifying all parameters and their valid values before generating combinations
  • Apply constraints early to eliminate invalid combinations from the start
  • Focus on parameter pairs that are most likely to interact and cause defects
  • Use the minimum pairwise set rather than exhaustive combinations to save time

避免

  • Do not generate all possible combinations - use pairwise to reduce test count
  • Do not skip constraint definition when parameters have dependencies
  • Do not assume all parameter values are equally important - prioritize critical values

常見問題

What is pairwise testing?
Pairwise testing is a combinatorial testing method that tests all possible pairs of input parameters. It provides good coverage while using far fewer test cases than testing all combinations.
Do I need to install any tools?
This skill provides guidance patterns. For actual test generation, you may want to use Microsoft PICT or similar pairwise testing tools. The skill teaches you how to structure tests and apply constraints.
How does pairwise testing save time?
If you have 10 parameters with 10 values each, exhaustive testing requires 10 billion tests. Pairwise testing reduces this to approximately 100-200 tests while still catching most defects from parameter interactions.
When should I use pairwise testing?
Use pairwise testing when you have multiple parameters that could interact in unexpected ways, such as configuration settings, form inputs, or API options. It is most effective when defects are caused by parameter combinations rather than single parameters.
What are constraints in pairwise testing?
Constraints define rules about which parameter combinations are valid. For example, if you have product_type and gift_wrap, you might add a constraint that says electronics cannot be gift wrapped.
Can pairwise testing guarantee 100% coverage?
No. Pairwise testing covers all 2-way parameter combinations but may miss issues that only appear with 3 or more specific parameters together. For high-risk systems, you may need higher-order combinatorial testing.

開發者詳情

作者

sickn33

授權

MIT

儲存庫

https://github.com/sickn33/antigravity-awesome-skills/tree/main/web-app/public/skills/pypict-skill

引用

main

檔案結構

📄 SKILL.md