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Merge pull request #40 from shps951023/test/ai-review-check
docs: add AI security review notice to README
2 parents 2cd412e + 30b2201 commit 4076cf8

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.github/copilot-code-review.md

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You are a rigorous senior code reviewer tasked with preventing security vulnerabilities in code submissions.
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Your assessment must be based on the code diffs of each commit.
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- Language: English
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- Focus on .NET security policy and best practices
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- Flag any potential SQL injection, XSS, path traversal, insecure deserialization, or other OWASP Top 10 risks
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- Check for hardcoded secrets, credentials, or sensitive data exposure in application source code
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- Verify proper input validation and output encoding
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- Ensure secure file I/O patterns (no arbitrary file access)
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IMPORTANT: Do NOT flag the following as security issues:
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- Using ${{ secrets.* }} in GitHub Actions workflows (this is the correct way to use secrets in CI)
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- Changes to CI/CD configuration files (.yml/.yaml under .github/workflows/) unless they contain actual hardcoded credentials
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- Changes to documentation files (.md) unless they expose sensitive information

.github/workflows/ci.yml

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permissions:
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contents: read
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pull-requests: write
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pull-requests: read
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jobs:
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build:
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name: test-results
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path: '**/test-results.trx'
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ai-pr-review:
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ai-security-scan:
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if: github.event_name == 'pull_request'
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runs-on: ubuntu-latest
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needs: build
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permissions:
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contents: read
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pull-requests: write
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: AI PR Review
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uses: github/copilot-code-review-action@v1
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with:
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model: gpt-4o
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custom_instructions: |
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You are a rigorous senior code reviewer tasked with preventing security vulnerabilities in code submissions.
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Your assessment must be based on the code diffs of each commit.
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- Language: English
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- Focus on .NET security policy and best practices
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- Flag any potential SQL injection, XSS, path traversal, insecure deserialization, or other OWASP Top 10 risks
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- Check for hardcoded secrets, credentials, or sensitive data exposure
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- Verify proper input validation and output encoding
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- Ensure secure file I/O patterns (no arbitrary file access)
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fetch-depth: 0
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- name: Get PR diff
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id: diff
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run: |
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DIFF=$(git diff origin/${{ github.base_ref }}...HEAD -- '*.cs' '*.csproj' || true)
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if [ -z "$DIFF" ]; then
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echo "No code changes detected."
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echo "skip=true" >> $GITHUB_OUTPUT
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else
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# Save diff to file to avoid shell escaping issues
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echo "$DIFF" > /tmp/pr_diff.txt
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echo "skip=false" >> $GITHUB_OUTPUT
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fi
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- name: AI Security Review
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if: steps.diff.outputs.skip != 'true'
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env:
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AZURE_OPENAI_API_KEY: ${{ secrets.AZURE_OPENAI_API_KEY }}
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AZURE_OPENAI_ENDPOINT: ${{ secrets.AZURE_OPENAI_ENDPOINT }}
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AZURE_OPENAI_DEPLOYMENT: ${{ secrets.AZURE_OPENAI_DEPLOYMENT }}
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run: |
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DIFF=$(cat /tmp/pr_diff.txt)
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# Truncate diff if too large (max ~12000 chars to fit in context)
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if [ ${#DIFF} -gt 12000 ]; then
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DIFF="${DIFF:0:12000}... [truncated]"
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fi
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INSTRUCTIONS=$(cat .github/copilot-code-review.md 2>/dev/null || echo "Review for security issues.")
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API_VERSION="2025-01-01-preview"
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URL="${AZURE_OPENAI_ENDPOINT%/}/openai/deployments/${AZURE_OPENAI_DEPLOYMENT}/chat/completions?api-version=${API_VERSION}"
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# Build JSON payload safely using jq
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PAYLOAD=$(jq -n \
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--arg instructions "$INSTRUCTIONS" \
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--arg diff "$DIFF" \
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'{
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messages: [
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{ role: "system", content: $instructions },
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{ role: "user", content: ("Review this code diff for security vulnerabilities in APPLICATION SOURCE CODE ONLY. Respond ONLY with a JSON object (no markdown, no code blocks): {\"passed\": true/false, \"issues\": [\"description1\", \"description2\"]}. Set passed=true if no security issues found in application code, passed=false only for real security concerns like SQL injection, XSS, path traversal, hardcoded credentials in source code, etc. Do NOT flag CI/CD workflow configuration or documentation changes as issues.\n\nDiff:\n" + $diff) }
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],
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temperature: 0.1
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}')
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RESPONSE=$(curl -s "$URL" \
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-H "Content-Type: application/json" \
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-H "api-key: $AZURE_OPENAI_API_KEY" \
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-d "$PAYLOAD")
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# Extract content
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CONTENT=$(echo "$RESPONSE" | jq -r '.choices[0].message.content // empty')
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if [ -z "$CONTENT" ]; then
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echo "::error::Failed to get AI review response"
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echo "$RESPONSE" | jq .
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exit 1
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fi
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echo "=== AI Security Review Result ==="
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echo "$CONTENT"
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echo "================================="
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# Parse JSON from response: strip markdown code blocks, then parse with jq
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CLEAN_CONTENT=$(echo "$CONTENT" | sed '/^```/d')
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# Use 'if .passed then "true" else "false" end' to handle boolean false correctly
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PASSED=$(echo "$CLEAN_CONTENT" | jq -r 'if .passed == true then "true" elif .passed == false then "false" else "unknown" end' 2>/dev/null)
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if [ "$PASSED" = "false" ]; then
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echo ""
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echo "::error::AI Security Review FAILED - security issues detected"
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echo "$CLEAN_CONTENT" | jq -r '.issues[]?' 2>/dev/null | while read -r issue; do
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echo "::warning::$issue"
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done
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exit 1
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elif [ "$PASSED" = "true" ]; then
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echo ""
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echo "✅ AI Security Review PASSED - no security issues found"
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else
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echo "::warning::Could not parse AI review result, treating as FAIL for safety"
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exit 1
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fi
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- name: Skip notice
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if: steps.diff.outputs.skip == 'true'
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run: echo "✅ No code changes to review"

.gitignore

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## NuGet
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*.nupkg
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## Wiki
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MiniPdf.wiki/

README.md

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A minimal, zero-dependency .NET library for generating PDF documents from text and Excel (.xlsx) files.
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> **Security**: All PRs are automatically reviewed by Copilot AI and Azure AI security scan for vulnerabilities.
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## Features
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- **Text-to-PDF** — Create PDF documents with positioned or auto-wrapped text

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