It is 2026, and the temptation to blindly accept an AI agent's diff, run npm install, and spin up the dev server is stronger than ever. Most of the time, it works fine. But when it fails, it fails hard, because the agent operates with your permissions and processes text inputs you likely never reviewed. Developer Isaac Bell, writing on DEV.to, outlines five critical areas to inspect before executing any code generated by an autonomous agent.

The Dependency and Config Trap

The first vulnerability lies in dependencies. Agents often suggest package names that are hallucinations or one letter off from real packages, a classic typosquatting vector. Bell advises checking every new entry in package.json or requirements.txt for real history, noting that standard advisory scanners like npm audit miss brand-new malicious packages. The second trap is setup commands. Agents browsing the web might copy-paste curl | sh commands or postinstall scripts from untrusted pages, so you must read every script entry added or modified by the agent.

Invisible Execution Vectors

Configuration files are the third blind spot. Files like .claude/settings.json, .mcp.json, and .vscode/tasks.json look like static config in a diff, but they actually start processes. If an agent modifies these, it can spawn arbitrary executables. Fourth, watch for insecure model-calling patterns. Agents frequently hardcode API keys, pass model output directly to exec or eval, or concatenate user input into system prompts without max_tokens limits, mirroring the sloppy practices found in their training data.

SSRF and Automated Scanning

The fifth check targets server-side code that fetches URLs. If an agent builds a link preview or webhook, it might not validate the destination. Without validation, an attacker can aim your server at 169.254.169.254 to steal cloud credentials, a classic Server-Side Request Forgery (SSRF) attack. To help catch these issues, Bell maintains two MIT-licensed open-source tools: am-i-hacked and secure-semgrep. Both run via npx, require no account, and exit with code 1 on findings, making them suitable for CI pipelines.

Key Takeaways

  • Typosquatting: Verify every new dependency name and history, as standard scanners miss fresh malicious packages.
  • Config as Code: Treat MCP definitions, editor tasks, and settings files as executable code that can spawn processes.
  • SSRF Risks: Ensure any agent-generated URL fetching validates the destination to prevent cloud credential theft.
  • Tooling Limitations: am-i-hacked and secure-semgrep are first-pass scanners; they do not prove correctness, only flag known patterns.

The Bottom Line

Automation tools like am-i-hacked and secure-semgrep are essential first passes, but they cannot replace human judgment. You must still read the diff, because no scanner knows what you asked the agent to do or if the code is actually correct.