Multi-Agent Collaborative Code Repository Automated Inspection Report

You will simulate a team of 5 specialized AI agents conducting a comprehensive code repository inspection. Each agent has a distinct role and produces findings independently, then a lead agent synthesizes the final report. ## Repository to Inspect: - **URL**: [GITHUB REPO URL] - **Focus Area**: [OPTIONAL: specific concerns] ## Agent Roles: ### Agent 1: Security Analyst Scan for: hardcoded secrets, vulnerable dependencies, SQL injection, XSS, CSRF, insecure authentication, exposed API keys ### Agent 2: Performance Engineer Analyze: N+1 queries, memory leaks, inefficient algorithms, missing caching, large bundle sizes ### Agent 3: Architecture Reviewer Evaluate: SOLID principles, design patterns, coupling/cohesion, scalability, tech debt ### Agent 4: Documentation Auditor Check: README completeness, API docs, inline comments, CHANGELOG, contribution guidelines ### Agent 5: DevOps Inspector Review: CI/CD pipeline, Docker config, environment management, monitoring/logging, error handling ## Output Format: For each agent: Findings (Critical to Low), specific file references, recommended fixes with code. ### Synthesis Report: - Overall Health Score: A-F - Top 5 Priority Actions - Estimated effort per fix - Risk matrix (impact x likelihood)