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‎.github/workflows/ai-on-demand.yaml‎

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name: AI On-Demand Assistant
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on:
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issue_comment:
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types: [created]
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pull_request_review_comment:
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types: [created]
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pull_request_review:
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types: [submitted]
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issues:
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types: [opened]
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jobs:
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ai-response:
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# Only run if the app is mentioned and it's not the app itself commenting
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if: |
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(
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(github.event_name == 'issue_comment' && contains(github.event.comment.body, '@efp-dev-ops')) ||
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(github.event_name == 'pull_request_review_comment' && contains(github.event.comment.body, '@efp-dev-ops')) ||
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(github.event_name == 'pull_request_review' && contains(github.event.review.body, '@efp-dev-ops')) ||
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(github.event_name == 'issues' && contains(github.event.issue.body, '@efp-dev-ops'))
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) && (
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github.actor == '0xthrpw' ||
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github.actor == 'encrypteddegen' ||
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github.actor == 'caveman-eth' ||
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github.actor == 'brantlymillegan'
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)
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runs-on: ubuntu-latest
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permissions:
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contents: read
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issues: write
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pull-requests: write
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Generate Custom App Token
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id: generate-token
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uses: actions/create-github-app-token@v1
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with:
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app-id: ${{ secrets.APP_ID }}
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private-key: ${{ secrets.PRIVATE_KEY }}
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- name: Extract instruction from comment
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id: extract-instruction
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run: |
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# Get the comment body based on event type
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if [ "${{ github.event_name }}" = "issue_comment" ]; then
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COMMENT_BODY="${{ github.event.comment.body }}"
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elif [ "${{ github.event_name }}" = "pull_request_review_comment" ]; then
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COMMENT_BODY="${{ github.event.comment.body }}"
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elif [ "${{ github.event_name }}" = "pull_request_review" ]; then
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COMMENT_BODY="${{ github.event.review.body }}"
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elif [ "${{ github.event_name }}" = "issues" ]; then
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COMMENT_BODY="${{ github.event.issue.body }}"
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else
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COMMENT_BODY=""
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fi
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# Remove the @mention and get the instruction
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INSTRUCTION=$(echo "$COMMENT_BODY" | sed 's/@efp-dev-ops[[:space:]]*//' | sed 's/^[[:space:]]*//')
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# Set as output for next step
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echo "instruction<<EOF" >> $GITHUB_OUTPUT
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echo "$INSTRUCTION" >> $GITHUB_OUTPUT
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echo "EOF" >> $GITHUB_OUTPUT
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echo "Extracted instruction: $INSTRUCTION"
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- name: AI Response
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uses: anthropics/claude-code-action@v0
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with:
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# anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
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claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
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github_token: ${{ steps.generate-token.outputs.token }}
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direct_prompt: |
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You are an AI assistant for our development team. A team member has requested help with the following:
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**User Request:** ${{ steps.extract-instruction.outputs.instruction }}
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Please provide a helpful, accurate response. If the request involves code analysis, focus on the current repository context. If it's a general question, provide clear and actionable guidance.
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Keep your response concise but thorough, and format it nicely for GitHub comments.
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# - name: React to original comment
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# run: |
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# # Add a reaction to show the app "saw" the mention
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# if [ "${{ github.event_name }}" = "issue_comment" ] || [ "${{ github.event_name }}" = "pull_request_review_comment" ]; then
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# gh api repos/${{ github.repository }}/issues/comments/${{ github.event.comment.id }}/reactions \
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# --method POST \
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# --field content="+1"
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# elif [ "${{ github.event_name }}" = "pull_request_review" ]; then
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# gh api repos/${{ github.repository }}/pulls/${{ github.event.pull_request.number }}/reviews/${{ github.event.review.id }}/reactions \
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# --method POST \
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# --field content="+1"
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# elif [ "${{ github.event_name }}" = "issues" ]; then
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# gh api repos/${{ github.repository }}/issues/${{ github.event.issue.number }}/reactions \
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# --method POST \
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# --field content="+1"
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# fi
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env:
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GITHUB_TOKEN: ${{ steps.generate-token.outputs.token }}

‎.github/workflows/ai-review.yaml‎

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name: Custom AI Code Review
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on:
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pull_request:
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types: [opened, synchronize, reopened]
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# issue_comment:
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# types: [created]
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jobs:
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ai-review:
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runs-on: ubuntu-latest
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permissions:
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contents: read
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pull-requests: write
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issues: write
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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with:
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fetch-depth: 0 # Get full history for better context
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- name: Generate Custom App Token
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id: generate-token
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uses: actions/create-github-app-token@v1
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with:
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app-id: ${{ secrets.APP_ID }}
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private-key: ${{ secrets.PRIVATE_KEY }}
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# - name: AI Security Review
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# uses: anthropics/claude-code-action@v0
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# with:
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# # anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
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# claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
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# github_token: ${{ steps.generate-token.outputs.token }}
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# direct_prompt: |
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# You are the AI security reviewer for our organization.
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# Please analyze this pull request for:
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# 🛡️ **Security Vulnerabilities**
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# - SQL injection risks
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# - XSS vulnerabilities
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# - Authentication/authorization issues
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# - Input validation problems
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# 📋 **Compliance Check**
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# - Follows our security coding standards
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# - Proper error handling
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# - Secure configuration practices
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# Please provide specific, actionable feedback with line numbers where applicable.
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- name: AI Code Quality Review
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uses: anthropics/claude-code-action@v0
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with:
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# anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
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claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
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github_token: ${{ steps.generate-token.outputs.token }}
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direct_prompt: |
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You are the AI code quality reviewer for our organization.
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Please analyze this pull request for:
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## 🔍 Code Quality Assessment
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- Overall code quality rating (1-10)
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- Code maintainability and readability
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- Adherence to best practices
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- Performance considerations
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## 📚 Documentation Review
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- Comment quality and completeness
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- Function/method documentation
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- README updates if needed
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## 🎯 Specific Recommendations
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- Actionable improvements with priorities
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- Code refactoring suggestions
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- Testing recommendations
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Format your response as a professional code review.
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- name: Post Summary Comment
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run: |
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gh pr comment ${{ github.event.number }} --body "
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## 🤖 AI Code Review Complete
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Your custom AI assistant has completed the automated code review process.
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✅ Documentation review done
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Please review the detailed feedback above and address any high-priority items before merging.
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---
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*This automated review was performed by EFP-DEV-OPS*
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"
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env:
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GITHUB_TOKEN: ${{ steps.generate-token.outputs.token }}

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