Test
Simulates user interactions and validates feature functionality across different scenarios to identify bugs and ensure quality.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add test npx -- -y @trustedskills/test
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"test": {
"command": "npx",
"args": [
"-y",
"@trustedskills/test"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The test skill provides a way to verify and validate AI agent functionality, ensuring that the agent behaves as expected under various conditions. It allows users to run predefined checks or custom test cases to confirm correctness, reliability, and performance of an AI agent's responses.
When to use it
- Before deploying an AI agent in production to ensure it meets quality standards.
- After making changes to an agent’s logic or training data to verify that the updates haven’t introduced errors.
- To compare the performance of different AI agents or versions of the same agent.
- As part of a continuous integration pipeline for automated testing and validation.
Key capabilities
- Run predefined test cases against an AI agent.
- Validate responses based on expected outcomes.
- Support for custom test scripts or scenarios.
- Integration with monitoring tools for performance tracking.
Example prompts
- "Run all unit tests for the AI agent."
- "Test the response to 'What is 2+2?' and ensure it returns '4'."
- "Validate that the agent correctly handles ambiguous user queries in a test scenario."
Tips & gotchas
- Ensure your test cases cover edge cases and unexpected inputs.
- Test results may vary depending on the AI model's training data and configuration.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🏢 Official
Published by the company or team that built the technology.