What kind of personas can I simulate?

The skill includes presets for terminal novices, power users, corporate engineers in locked-down environments, and SREs focusing on automation.

Does this skill require specific documentation formats?

No, it uses web search and file reading tools to discover your existing READMEs, websites, and help commands just like a human tester would.

How does the skill handle bug reporting?

It automatically compiles all terminal output, system info, and reproduction steps into a structured format compatible with GitHub issue templates.

Can I test my tool on different operating systems?

Yes, the skill allows you to configure environment models for macOS, Linux, and Windows to identify platform-specific installation or execution issues.

What is the Unbiasedness Principle?

It is a core constraint that prevents the AI from using internal project knowledge, forcing it to rely only on documentation and terminal output to simulate a real user's experience.

Unbiased Beta Tester

Name: Unbiased Beta Tester
Author: wildcard

bywildcard

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보안 및 테스팅

Simulates realistic user personas to perform objective, documentation-driven exploratory testing for CLI tools.

소개

The Unbiased Beta Tester skill enables developers to validate CLI tools through the eyes of diverse user personas, ranging from terminal novices to power users. By enforcing 'controlled ignorance,' the skill ensures that testing is based strictly on public documentation and observable terminal output rather than internal project knowledge. This process helps identify critical UX friction points, installation hurdles, and documentation gaps before a product reaches real users.

주요 기능

State-machine driven test execution from discovery to final reporting.
23 GitHub stars
Automatic evidence collection of commands, outputs, logs, and system info.
Interactive Persona Builder for creating detailed tester profiles and backgrounds.
Environment Modeling to simulate specific OS, shell, and tool configurations.
Structured GitHub issue generation based on project-specific templates.

사용 사례

Identifying usability issues and error message clarity during pre-release QA.
Testing CLI cross-platform compatibility across different shells and operating systems.
Validating installation flows and quick-start guides for new users.

소개

주요 기능

State-machine driven test execution from discovery to final reporting.
23 GitHub stars
Automatic evidence collection of commands, outputs, logs, and system info.
Interactive Persona Builder for creating detailed tester profiles and backgrounds.
Environment Modeling to simulate specific OS, shell, and tool configurations.
Structured GitHub issue generation based on project-specific templates.

사용 사례

Identifying usability issues and error message clarity during pre-release QA.
Testing CLI cross-platform compatibility across different shells and operating systems.
Validating installation flows and quick-start guides for new users.