semgrep-rule-creator

You can automate the creation of Semgrep rules by generating rule scaffolds alongside test files and documentation structures. This workflow supports test-first design to accurately detect security vulnerabilities and specific code patterns across multiple languages.

The best way to write Semgrep tests is to adopt a test-first design that validates your static analysis rules against vulnerable and safe code samples. This ensures precise detections and reduces false positives before deploying rules to production.

Yes, you can use taint-mode Semgrep rules for Python projects. The rule creation workflow supports taint-mode analysis across multiple languages, enabling you to track data flow from sources to sinks to identify complex code vulnerabilities.

Yes, this Semgrep rule generator supports pattern-based approaches alongside taint-mode. It provides guidance to iterate toward precise detections, helping you match exact code syntax and structural patterns for static analysis testing.

To organize a repository of Semgrep rules, you should utilize structured directories such as scripts, references, and assets alongside your SKILL.md frontmatter. This setup enables organized rule management and production-grade static analysis workflows.