codeql-audit

name	codeql-audit
description	Build a CodeQL database and run dataflow-backed query-suite analysis via the mantis_codeql MCP server

Use codeql_create_database then codeql_analyze (mantis_codeql MCP server) when you need dataflow-aware SAST beyond what regex/pattern tools (semgrep, ast-grep) can prove -- CodeQL's query suites trace actual source-to-sink data flow through the codebase.

Workflow:

1. codeql_create_database({ source_root, language, database_path }) once per target/language. This is slow (can take minutes on large repos); don't repeat it unless the source changed.
2. codeql_analyze({ database_path, query_suite }). Default query_suite is "security-extended"; use "security-and-quality" only if the user wants broader quality findings too.
3. Treat every SARIF result as a candidate with a dataflow-backed path, which is stronger recall evidence than a plain grep match -- but it is still not a confirmed finding. CodeQL's own dataflow models can miss framework-specific sanitization; verify the path manually before validating.
4. If codeql reports available: false, fall back to semgrep_scan and program-analysis's source_sink_scan/ast_grep_scan for recall, and tell the user CodeQL-grade dataflow coverage wasn't available for this run.