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Sync auto-gpt5-implementation.yml from .github repo
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.github/workflows/auto-gpt5-implementation.yml

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name: "Advanced Code Analysis Action"
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# REQUIREMENTS:
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# - A GitHub Personal Access Token with Copilot access must be created and stored as a repository secret named COPILOT_TOKEN
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# - The default GITHUB_TOKEN does not have Copilot access and cannot be used
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# - To create the token: GitHub Settings -> Developer settings -> Personal access tokens -> Generate new token
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# - The token needs the 'copilot' scope enabled
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# OPTIONAL TOKENS:
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# - COPILOT_TOKEN: Enables Copilot CLI-based LLM review steps (if present)
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# - SEMGREP_APP_TOKEN: Enables Semgrep findings upload to Semgrep App (if present)
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on:
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push:
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cat /tmp/gpt5-analysis.md
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continue-on-error: true
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<<<<<<< HEAD
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- name: Initialize CodeQL
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uses: github/codeql-action/init@v3
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with:
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- name: Autobuild
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uses: github/codeql-action/autobuild@v3
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=======
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- name: GPT-5 Advanced Code Analysis
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continue-on-error: true
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- name: Copilot LLM Code Review (optional)
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if: ${{ secrets.COPILOT_TOKEN != '' }}
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uses: austenstone/copilot-cli-action@v2
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with:
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copilot-token: ${{ secrets.COPILOT_TOKEN }}
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prompt: |
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Perform a comprehensive code analysis of this repository using GPT-5's advanced capabilities:
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1. **Code Quality & Architecture**
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- Analyze overall code structure and organization
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- Identify architectural patterns and anti-patterns
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- Suggest improvements for maintainability and scalability
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2. **Security Analysis**
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- Detect potential security vulnerabilities
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- Identify unsafe coding patterns
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- Recommend security best practices
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3. **Performance Optimization**
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- Identify performance bottlenecks
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- Suggest optimization opportunities
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- Recommend efficient algorithms and data structures
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4. **Best Practices**
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- Verify adherence to language-specific best practices
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- Check for proper error handling
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- Ensure code follows SOLID principles
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5. **Documentation & Maintainability**
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- Assess code documentation quality
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- Identify areas needing better comments
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- Suggest improvements for code readability
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Provide specific, actionable recommendations with file names and line numbers where applicable.
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Perform a comprehensive code analysis of this repository:
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1. Code quality and architecture
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2. Security risks and unsafe patterns
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3. Performance bottlenecks and optimizations
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4. Best practices and error handling
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5. Documentation and maintainability
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Provide actionable recommendations with file names and line numbers where applicable.
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continue-on-error: true
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- name: GPT-5 Test Coverage Analysis
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- name: Copilot LLM Test Coverage Review (optional)
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if: ${{ secrets.COPILOT_TOKEN != '' }}
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uses: austenstone/copilot-cli-action@v2
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with:
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copilot-token: ${{ secrets.COPILOT_TOKEN }}
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prompt: |
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Analyze the test coverage and testing strategy:
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1. Identify files that lack adequate test coverage
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2. Suggest missing test cases for critical functionality
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Analyze the repository's testing strategy:
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1. Identify critical paths without tests
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2. Suggest missing unit/integration/E2E cases
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3. Recommend improvements to existing tests
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4. Identify edge cases that should be tested
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5. Suggest integration and end-to-end test scenarios
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Focus on critical paths and business logic.
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>>>>>>> main
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Focus on business logic and risk areas.
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continue-on-error: true
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- name: Advanced Code Analysis with CodeQL

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