stack-detection

To verify a project's technology stack components before a security audit, you can use shell-based detection signatures to check the file system for framework-specific configurations. This prevents applying irrelevant rules by confirming actual file evidence.

Stack detection prevents irrelevant recommendations during automated code reviews by validating the existence of specific technology stack components using standard Unix shell utilities. This standardized decision flow skips inapplicable rules, reducing noise from incorrect suggestions.

Yes, you can use standard Unix shell utilities like grep, find, and test to detect frameworks like Next.js. The skill applies shell-based detection signatures to verify the file system presence of framework-specific configurations within the project directory.

The best way to avoid false assumptions during architectural assessments is to implement evidence-based scoping. By verifying the actual file system presence of specific technology stack components, you ensure analysis is based on file evidence rather than global defaults.

Yes, stack detection works without additional dependencies because it requires only standard Unix shell utilities like grep, find, and test. It operates by validating file system presence of framework-specific configurations without needing external components.

Your code review suggests server-side API rules for a static site due to false assumptions about the technology stack. Using shell-based stack detection verifies if an API directory actually exists, providing automated guardrails to skip irrelevant rules for static sites.