Skill Test
Evaluates AI model performance on custom datasets to identify strengths, weaknesses, and areas for improvement.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add skill-test npx -- -y @trustedskills/skill-test
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"skill-test": {
"command": "npx",
"args": [
"-y",
"@trustedskills/skill-test"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill, skill-test, provides a mechanism for testing and validating AI agent functionality. It allows users to execute predefined tests against an agent and receive feedback on its performance. The purpose is to ensure agents meet specific criteria or benchmarks before deployment.
When to use it
- Automated Regression Testing: Regularly assess an agent's core capabilities after updates or modifications.
- New Agent Evaluation: Quickly determine if a newly developed AI agent meets minimum performance standards.
- Integration Testing: Verify that different components of an AI system work together as expected.
- Performance Benchmarking: Compare the performance of multiple agents against standardized tests.
Key capabilities
- Test execution
- Feedback reporting
- Predefined test cases
- Performance assessment
Example prompts
- "Run the 'basic_functionality' test suite."
- "Execute the integration tests and report any failures."
- "Can you perform a regression test on the agent?"
Tips & gotchas
The skill requires a properly configured testing environment to function correctly. Ensure that all dependencies are met before attempting to run tests; otherwise, errors may occur during execution.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.