speckit.checker

To run static analysis across a multi-language repository, use a tool that auto-detects project files like package.json, pyproject.toml, go.mod, and Cargo.toml to execute configured linters and security scanners. It aggregates findings into a single prioritized report.

The best way to consolidate linting, type checking, and vulnerability scan results is to use a unified static analysis tool that deduplicates findings, assigns priorities like P1 for security and P2 for type errors, and generates reports with exit codes for CI gating.

Yes, you can automatically detect and run linters for Node, Python, Go, and Rust by scanning for supported configuration files. The tool identifies relevant configs and executes corresponding linters like ESLint, Ruff, golangci-lint, and clippy.

Yes, unified static analysis prioritizes security vulnerabilities over linting and style issues by assigning severity levels. Security findings are marked P1, type errors are P2, and lint or style issues are categorized from P3 to P5 for triage.

You can aggregate noisy outputs from multiple linters and security scanners by using a tool that deduplicates findings across ESLint, Ruff, npm audit, and cargo audit. It consolidates results into a unified, prioritized report with actionable fixes.