container-test

Validates Peeka CLI and TUI functionality within a Docker environment using Python-based automation tasks.

6|1|Updated Jan 3, 2026
One-click install
npx skills add https://github.com/peeka-project/peeka --skill container-test
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: container-test
Source: https://github.com/peeka-project/peeka/tree/main/.agents/skills/container-test
Command: npx skills add https://github.com/peeka-project/peeka --skill container-test

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires docker, python, textual, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of validating the end-to-end functionality of Peeka within a Docker container, ensuring compatibility and proper execution of the tool.

Core Features & Use Cases

  • Docker Container Testing: Allows testing Peeka features within a Docker environment, ensuring compatibility and robustness.
  • CLI & TUI Verification: Provides a system to verify CLI and TUI behaviors in Docker.
  • Multiple Python Versions Supported: Enables testing across various Python versions from 3.8 onwards.
  • Quick Start Reference: Offers a clear guide to run the container, execute tests, and interpret results.

Quick Start

Trigger the 'test in container' command to run the skill.

Frequently Asked Questions about container-test

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

FAQPage Schema
How do I test CLI and TUI behaviors in a Docker container?▼

To test CLI and TUI behaviors in a Docker container, you can trigger the 'test in container' command, which uses Python-based automation to verify functionality without altering the application code.

What is the best way to validate end-to-end functionality in a Docker environment?▼

Validating end-to-end functionality in a Docker environment involves running containerized tests that verify command-line and textual user interface operations, ensuring compatibility and robustness across different Python versions.

Does this Docker container testing approach support multiple Python versions?▼

Yes, this Docker container testing approach supports multiple Python versions, specifically enabling automated testing across various environments from Python 3.8 onwards to ensure broad compatibility.

How do I get started with running end-to-end tests in Docker?▼

To get started with running end-to-end tests in Docker, trigger the 'test in container' command, which executes the validation scripts and provides a clear guide to interpret the results.

Will container testing modify my application code during validation?▼

No, container testing will not modify your application code during validation, as the process is designed to verify operational instructions and behaviors non-invasively within the isolated Docker environment.