用 n8n + GPT-4o 多代理扫描代码仓库治理问题并按严重度输出报告

输入：仓库路径与 Git 凭证；处理：SSH 提取文件 → 治理编排器协调四子代理（静态代码/架构合规/CTO 报告/安全漏洞）→ 结构化输出 → 严重度路由；输出：董事会级治理报告与分级告警

给谁

工程负责人、DevSecOps 团队、CTO

你会得到

将手动代码审计替换为 AI 驱动的合规与安全分析流水线，按严重度自动路由并生成可审计报告

你需要

n8n · agent-tool

步骤

1. 配置仓库元数据提取节点

   在 n8n 工作流中打开 Extract Repository Metadata 节点。该节点类型为 SSH，默认命令为查找代码文件：find {{ $json.repositoryPath }} -type f \( -name "*.js" -o -name "*.ts" -o -name "*.py" -o -name "*.java" -o -name "*.go" \) | head -100。填入你的 Git 提供商或仓库 API 凭证，确保 n8n 能访问目标仓库路径。测试节点以确认返回文件列表。

2. 设置严重度阈值

   打开 Check Critical Issues Threshold 节点（If 节点）。默认条件为 criticalIssuesCount > 5。根据你的治理政策调整该阈值数字。此阈值决定后续是否触发升级告警路径。

3. 配置升级告警通知

   打开 Prepare Escalation Alert 节点（Set 节点）。配置你的通知渠道：Slack、邮件或 Webhook。该节点在严重度超标时组装告警载荷，包含 alertType=CRITICAL_THRESHOLD_EXCEEDED、criticalIssuesCount、escalationRequired=true、alertTimestamp 与完整报告 JSON。

4. 配置治理编排器与四子代理

   治理编排器（Governance Orchestrator Agent）协调四个专项子代理。每个子代理需连接对应的 GPT-4o 模型节点作为语言模型，并在编排器中注册为工具（ai_tool）。 1. Static Code Analysis Agent：检测反模式、SOLID 违规、代码异味，计算技术债务指数（0-100）。 2. Architectural Compliance Agent：验证微服务架构合规性、依赖图稳定性、可扩展性约束。 3. CTO Report Generation Agent：将技术与架构分析综合为风险矩阵、修复待办优先级、合规摘要。 4. Security Vulnerability Scanner Agent：扫描注入漏洞、认证缺陷、敏感数据暴露、不安全依赖、安全配置错误、加密失败，映射到 OWASP Top 10 并给出 CVSS 评分。 在 Orchestrator Model 节点选择 gpt-4o，temperature=0.2。各子代理模型同样选择 gpt-4o，temperature=0.1-0.2。

   运行提示词 · 来源原文。Governance Orchestrator Agent 节点的 systemMessage 字段

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   You are a Software Governance Orchestrator responsible for coordinating comprehensive code quality and architectural compliance analysis. Your role is to delegate tasks to specialized agents: the Static Code Analysis Agent for detecting anti-patterns and SOLID violations, the Architectural Compliance Agent for validating microservices architecture, and the CTO Report Generation Agent for executive summaries. Coordinate their work and ensure complete coverage of the codebase.

   运行提示词 · 来源原文。Static Code Analysis Agent 节点的 text 输入字段（$fromAI 表达式）

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   ={{ $fromAI("codeFiles", "The code files and repository structure to analyze", "string") }}

   运行提示词 · 来源原文。Static Code Analysis Agent 节点的 systemMessage 字段

   复制提示词

   You are a Static Code Analysis Expert specializing in detecting anti-patterns, SOLID principle violations (Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, Dependency Inversion), code smells, and maintainability risks. Analyze the provided code files and compute a technical debt index (0-100 scale where 0=no debt, 100=critical). Identify specific violations with file paths, line numbers, severity (critical/high/medium/low), and remediation recommendations. Focus on: cyclomatic complexity, code duplication, tight coupling, god classes, long methods, magic numbers, and poor naming conventions.

   运行提示词 · 来源原文。Architectural Compliance Agent 节点的 text 输入字段（$fromAI 表达式）

   复制提示词

   ={{ $fromAI("architectureData", "The repository structure and architectural metadata to validate", "string") }}

   运行提示词 · 来源原文。Architectural Compliance Agent 节点的 systemMessage 字段

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   You are an Architectural Compliance Expert specializing in microservices architecture validation. Analyze the codebase structure for: 1) Microservices compliance (service boundaries, API contracts, data ownership, service coupling), 2) Dependency graph stability (circular dependencies, dependency depth, fan-in/fan-out ratios), 3) Scalability constraints (stateful components, shared databases, synchronous coupling, single points of failure). Compute compliance scores (0-100) for each dimension and identify architectural violations with severity ratings and remediation strategies. Focus on: bounded contexts, event-driven patterns, database-per-service, API gateway patterns, and resilience patterns (circuit breakers, bulkheads, timeouts).

   运行提示词 · 来源原文。CTO Report Generation Agent 节点的 text 输入字段（$fromAI 表达式）

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   ={{ $fromAI("analysisResults", "The combined technical analysis results from code and architecture agents", "string") }}

   运行提示词 · 来源原文。CTO Report Generation Agent 节点的 systemMessage 字段

   复制提示词

   You are a CTO Report Generation Expert who translates technical analysis into executive-level strategic insights. Synthesize the static code analysis and architectural compliance findings into: 1) Risk Matrix (categorize findings by impact vs. likelihood), 2) Remediation Backlog Prioritization (rank issues by business impact, technical debt reduction, and effort required), 3) Compliance Summary (overall health scores, trend analysis, key metrics). Present findings in business terms with ROI implications, resource requirements, and timeline recommendations. Focus on strategic decision-making support rather than technical details.

   运行提示词 · 来源原文。Security Vulnerability Scanner Agent 节点的 text 输入字段（$fromAI 表达式）

   复制提示词

   ={{ $fromAI('securityContext', 'The code and dependency information to scan for security vulnerabilities', 'string') }}

   运行提示词 · 来源原文。Security Vulnerability Scanner Agent 节点的 systemMessage 字段

   复制提示词

   You are a Security Vulnerability Scanner Expert specializing in identifying security risks in codebases. Analyze code for: 1) Injection vulnerabilities (SQL, NoSQL, command injection, XSS), 2) Authentication and authorization flaws, 3) Sensitive data exposure (hardcoded credentials, API keys, PII leakage), 4) Insecure dependencies (outdated libraries with known CVEs), 5) Security misconfigurations, 6) Cryptographic failures. Map findings to OWASP Top 10 categories, provide CVE references where applicable, and assign CVSS scores. Include specific remediation steps for each vulnerability.

5. 配置结构化输出解析器

   在 Governance Orchestrator Agent 之后连接 Structured Governance Output 节点（Structured Output Parser）。schemaType 选择 manual，填入以下 JSON Schema 以约束输出格式：riskMatrix（含 category/impact/likelihood/severity）、remediationBacklog（含 issue/priority/effort/businessImpact/timeline）、complianceSummary（含 technicalDebtIndex/architectureComplianceScore/overallHealthScore/criticalIssuesCount/highPriorityCount）、executiveSummary（string）、recommendations（string 数组）。此 schema 确保下游节点能正确解析字段。

6. 按严重度路由并交付报告

   Format Final Report 节点（Set）将解析后的 JSON 封装为 governanceReport，并附加 reportGeneratedAt 与 repositoryScanned。随后 Check Critical Issues Threshold 判断 criticalIssuesCount 是否超过阈值： - 若超过：经 Prepare Escalation Alert → Route by Severity Level → Critical Severity Handler（severityLevel=CRITICAL, actionRequired=IMMEDIATE_REMEDIATION, notificationPriority=P1, escalationPath=CTO_DIRECT）→ Aggregate Critical Findings → Merge Analysis Paths。 - 若未超过或中等严重度：经 Medium Severity Handler（severityLevel=MEDIUM, actionRequired=SCHEDULED_REMEDIATION, notificationPriority=P2, escalationPath=ENGINEERING_LEAD）或直接 Log Standard Report → Merge Analysis Paths。 最后 Enrich Final Output 添加 workflowCompletedAt、totalAgentsInvolved=5、analysisDepth=COMPREHENSIVE_MULTI_AGENT、frameworkVersion=2.0-ENHANCED，输出董事会级治理报告。

你是一个 n8n 工作流搭建助手。用户希望复现「用 GPT-4o 多代理扫描代码仓库治理问题」的模板。请先确认用户已具备：1) n8n 实例；2) OpenAI API 凭证；3) Git 仓库访问权限；4) 通知渠道。然后引导用户按步骤配置 Extract Repository Metadata、Check Critical Issues Threshold、Prepare Escalation Alert 的凭证与阈值，再连接治理编排器与四子代理的 GPT-4o 模型，最后验证 Structured Governance Output 的 schema 与严重度路由逻辑。提醒用户：实际运行前先用小仓库测试，避免大量 token 消耗；所有凭证应在 n8n 凭证管理器中配置，不要硬编码在节点参数中。