Performance Testing Review Ai Review
Helps with performance optimization, testing, code review as part of testing, debugging, and quality assurance workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add performance-testing-review-ai-review npx -- -y @trustedskills/performance-testing-review-ai-review
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"performance-testing-review-ai-review": {
"command": "npx",
"args": [
"-y",
"@trustedskills/performance-testing-review-ai-review"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill acts as an AI-powered code review specialist, combining automated static analysis with intelligent pattern recognition and modern DevOps practices. It leverages various AI tools like GitHub Copilot, Qodo, GPT-5, and Claude 4.5 Sonnet alongside platforms such as SonarQube, CodeQL, and Semgrep to identify bugs, vulnerabilities, and performance issues within code. The skill aims to provide instant feedback on pull requests while integrating with CI/CD pipelines for comprehensive reviews.
When to use it
- When working on tasks or workflows specifically related to AI-powered code review.
- When needing guidance, best practices, or checklists for performing AI-powered code reviews.
- For multi-layered code review workflows integrated into CI/CD pipelines.
Key capabilities
- Combines automated static analysis with AI pattern recognition.
- Utilizes tools like GitHub Copilot, Qodo, GPT-5, Claude 4.5 Sonnet, SonarQube, CodeQL, and Semgrep.
- Provides reviews across 30+ programming languages.
- Performs comprehensive analysis of security, performance, architecture, maintainability, testing, and AI/ML-specific concerns.
- Generates review comments with line references, code examples, and actionable recommendations.
Example prompts
- "Review these changes for potential vulnerabilities."
- "Provide a checklist for best practices in this refactoring."
- "Analyze the performance implications of this new feature."
Tips & gotchas
- The skill is specifically designed for AI-powered code review tasks; avoid using it for unrelated purposes.
- For detailed implementation guidance, refer to the
resources/implementation-playbook.mdfile. - Analysis depth scales based on pull request size (superficial >1000 lines, deep <200 lines).
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.