quick-test

What This Skill Does

The Quick Test skill acts as a foundational diagnostic toolkit for the OpenClaw environment. It is designed to verify that the agent's underlying system dependencies, such as the Python runtime, file system accessibility, and shell command execution capabilities, are functioning as expected. By running a series of built-in checks or allowing users to inject custom system commands, it provides immediate feedback on whether the agent is properly configured to execute more complex tasks. It serves as a sanity check for troubleshooting connectivity issues, permission errors, or environment configuration discrepancies.

Installation

To install this skill, use the ClawHub command-line interface within your OpenClaw environment:

clawhub install openclaw/skills/skills/gustavoziaugra/quick-test

Once the command finishes, the skill is automatically available for your agent to utilize. No external pip dependencies are required as the skill relies exclusively on the Python standard library, making it lightweight and secure to deploy across various operating systems supported by OpenClaw.

Use Cases

• Environment Debugging: Use this when you suspect the agent is having trouble accessing files or executing shell commands.
• New Deployment Verification: Run this immediately after setting up a new OpenClaw instance to confirm all core system features are "green."
• Command Validation: Quickly test if a specific shell command will behave as expected within the agent's current workspace without building a full automation workflow.
• Connectivity Check: Use it to verify that the environment has the necessary permissions to read/write in its designated working directory.

Example Prompts

1. "Run a quick system test to make sure everything in my OpenClaw environment is working correctly."
2. "Perform a diagnostic check of the file system and verify that the current directory is accessible."
3. "Execute a custom test using the command 'ls -la' to list the contents of the current workspace directory and show me the results."

Tips & Limitations

• Security: Because this skill executes system-level commands, ensure you are running it in a sandbox or restricted environment. Always be cautious when using the --command parameter to execute arbitrary shell scripts.
• Performance: This is a lightweight script and completes in milliseconds. It is not intended for long-running system monitoring or performance load testing.
• Validation: Use the --quiet flag if you only want the success/fail exit status, or run the default mode for a full breakdown of the test suite results. If tests fail, check the provided logs to pinpoint whether the issue lies with Python permissions, directory locks, or command execution restrictions.