在脚本和自动化工作流中使用 Cursor CLI，完成代码分析、生成与重构等任务。

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工作原理

在非交互式脚本与自动化场景下使用打印模式（-p, --print）。

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脚本中的文件修改

将 --print 和 --force 搭配使用，在脚本中直接修改文件： 
# 在打印模式下启用文件修改
cursor-agent -p --force "Refactor this code to use modern ES6+ syntax"

# 未加 --force 时，只会给出变更建议，不会实际应用
cursor-agent -p "Add JSDoc comments to this file"  # 不会修改文件

# 批量处理并实际写入文件变更
find src/ -name "*.js" | while read file; do
  cursor-agent -p --force "Add comprehensive JSDoc comments to $file"
done
--force 标志允许代理在无需确认的情况下直接更改文件

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设置

完整的设置说明请参阅 Installation 和 Authentication。 
# 安装 Cursor CLI
curl https://cursor.com/install -fsS | bash

# 为脚本设置 API 密钥
export CURSOR_API_KEY=your_api_key_here
cursor-agent -p "Analyze this code"

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示例脚本

根据不同脚本需求选择不同的输出格式。详见 输出格式。

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搜索代码库

使用 --output-format text 获取可读性更好的响应： 
#!/bin/bash
# Simple codebase question

cursor-agent -p --output-format text "What does this codebase do?"

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自动化代码评审

使用 --output-format json 进行结构化分析： 
#!/bin/bash
# simple-code-review.sh - Basic code review script

echo "Starting code review..."

# Review recent changes
cursor-agent -p --force --output-format text \
  "Review the recent code changes and provide feedback on:
  - Code quality and readability  
  - Potential bugs or issues
  - Security considerations
  - Best practices compliance

  Provide specific suggestions for improvement and write to review.txt"

if [ $? -eq 0 ]; then
  echo "✅ Code review completed successfully"
else
  echo "❌ Code review failed"
  exit 1
fi

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实时进度跟踪

使用 --output-format stream-json 进行实时进度跟踪： 
#!/bin/bash
# stream-progress.sh - Track progress in real-time

echo "🚀 Starting stream processing..."

# Track progress in real-time
accumulated_text=""
tool_count=0
start_time=$(date +%s)

cursor-agent -p --force --output-format stream-json \
  "Analyze this project structure and create a summary report in analysis.txt" | \
  while IFS= read -r line; do
    
    type=$(echo "$line" | jq -r '.type // empty')
    subtype=$(echo "$line" | jq -r '.subtype // empty')
    
    case "$type" in
      "system")
        if [ "$subtype" = "init" ]; then
          model=$(echo "$line" | jq -r '.model // "unknown"')
          echo "🤖 Using model: $model"
        fi
        ;;
        
      "assistant")
        # Accumulate streaming text deltas
        content=$(echo "$line" | jq -r '.message.content[0].text // empty')
        accumulated_text="$accumulated_text$content"
        
        # Show live progress
        printf "\r📝 Generating: %d chars" ${#accumulated_text}
        ;;
        
      "tool_call")
        if [ "$subtype" = "started" ]; then
          tool_count=$((tool_count + 1))
          
          # Extract tool information
          if echo "$line" | jq -e '.tool_call.writeToolCall' > /dev/null 2>&1; then
            path=$(echo "$line" | jq -r '.tool_call.writeToolCall.args.path // "unknown"')
            echo -e "\n🔧 Tool #$tool_count: Creating $path"
          elif echo "$line" | jq -e '.tool_call.readToolCall' > /dev/null 2>&1; then
            path=$(echo "$line" | jq -r '.tool_call.readToolCall.args.path // "unknown"')
            echo -e "\n📖 Tool #$tool_count: Reading $path"
          fi
          
        elif [ "$subtype" = "completed" ]; then
          # Extract and show tool results
          if echo "$line" | jq -e '.tool_call.writeToolCall.result.success' > /dev/null 2>&1; then
            lines=$(echo "$line" | jq -r '.tool_call.writeToolCall.result.success.linesCreated // 0')
            size=$(echo "$line" | jq -r '.tool_call.writeToolCall.result.success.fileSize // 0')
            echo "   ✅ Created $lines lines ($size bytes)"
          elif echo "$line" | jq -e '.tool_call.readToolCall.result.success' > /dev/null 2>&1; then
            lines=$(echo "$line" | jq -r '.tool_call.readToolCall.result.success.totalLines // 0')
            echo "   ✅ Read $lines lines"
          fi
        fi
        ;;
        
      "result")
        duration=$(echo "$line" | jq -r '.duration_ms // 0')
        end_time=$(date +%s)
        total_time=$((end_time - start_time))
        
        echo -e "\n\n🎯 Completed in ${duration}ms (${total_time}s total)"
        echo "📊 Final stats: $tool_count tools, ${#accumulated_text} chars generated"
        ;;
    esac
  done