agentic-actions-auditor

To check GitHub Actions workflows for AI prompt injection risks, scan your CI/CD pipeline configurations to detect dangerous sandbox settings, wildcard user allowlists, and attacker-controlled data flow paths reaching AI prompts.

Static analysis for CI/CD pipeline security is the process of scanning workflow files to identify dangerous configurations and attack vectors, such as unsafe sandbox settings and wildcard allowlists, before merging AI agent integrations.

Yes, this security audit works with AI coding agents like Claude Code Action and Gemini CLI by evaluating workflow files and cross-file references to ensure external contributors cannot trigger arbitrary code execution or secret exfiltration.

You prevent unauthorized access in AI-driven CI/CD pipelines by analyzing workflow configurations for attacker-controlled input intermediaries, such as environment variables or direct expression injection, that could compromise AI agent deployment.

Common attack vectors in GitHub Actions AI agent integrations include dangerous sandbox settings, wildcard user allowlists, and data flow paths where attacker-controlled input reaches AI prompts via environment variable intermediaries or direct expression injection.

You need to audit workflow files before merging AI coding agents to identify potential security risks, ensuring external contributors cannot manipulate data flow paths to execute arbitrary code or exfiltrate secrets.