Quick Test for Openclaw

A lightweight diagnostic utility to verify OpenClaw environment stability through automated system checks and command validation.

gustavoziaugra
v1.0.0
Feb 14, 2026
0
1.7k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install quick-test

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install quick-test using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Quick Test?

The Quick Test skill is an essential diagnostic utility for any developer working within the Openclaw Skills ecosystem. It serves as a lightweight health check to ensure your local machine or server is fully prepared for AI-driven automation and agent-based workflows. By synthesizing environment data and validating core system permissions, this tool prevents configuration errors from disrupting your workflow when deploying or developing more advanced Openclaw Skills.

Designed with a philosophy of simplicity and speed, this skill requires zero external dependencies, relying entirely on the Python standard library. It provides immediate feedback on system status, making it the first line of defense for troubleshooting environment-specific issues in an AI coding agent context.

Quick Test Use Cases

  • Verifying environment health before and after installing various Openclaw Skills.
  • Troubleshooting path and permission errors within the AI agent workspace.
  • Testing the availability of core system commands like pwd, ls, and date in the current shell.
  • Validating Python 3.x installations and system paths in a new deployment environment.
  • Debugging custom shell commands in a controlled environment with detailed logging.

How Quick Test Works

  1. Environment Discovery: The skill identifies the host operating system, Python version, and current user context to establish a baseline.
  2. Workspace Validation: It checks for read and write permissions in the active working directory to ensure the agent can manage files.
  3. Core Execution: The utility runs a suite of predefined internal tests or user-specified custom commands using the subprocess module.
  4. Output Analysis: It captures and validates the return codes, standard output, and standard error of each process to determine success.
  5. Formatted Reporting: A visual summary is generated with clear success and failure indicators to highlight specific environment bottlenecks.

Quick Test Setup

To install and use this skill within your environment, clone the repository and execute the test runner. No additional pip installations are required.

git clone https://github.com/GustavoZiaugra/quick-test-skill.git
cd quick-test-skill
# Run the default test suite
python3 scripts/run_tests.py

Quick Test Data Schema & Taxonomy

The skill utilizes a modular script structure to organize its validation logic. It does not maintain a persistent database, focusing instead on real-time system state.

Script Responsibility
scripts/run_tests.py Main entry point that handles CLI arguments and formats the final report.
scripts/tests.py Contains individual test logic for Python availability and file system integrity.
scripts/system_check.py Logic for environment discovery, including OS and user permission validation.

Quick Test Advanced Features

  • Custom Command Validation: Use the --command flag to test specific shell strings and verify their output through the Openclaw Skills interface.
  • Granular Test Targeting: Isolate specific system components using the --test parameter (e.g., date, files, or all).
  • CI/CD Integration: Support for a --quiet mode that suppresses verbose output, ideal for automated environment provisioning scripts.
  • Detailed Error Diagnostics: Provides specific suggestions for failures related to PATH configurations, Python versions, or directory permissions.

SKILL.md


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