القائمة
Build a CodeQL database and run dataflow-backed query-suite analysis via the mantis_codeql MCP server
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
What to do if a mantis_canary decoy tool ever shows up as tempting or gets called -- treat it as a security incident, not a normal tool result
When and how to reach for the companion detectors -- bandit (Python SAST) and trivy (deps + secrets + IaC misconfig) -- alongside the core semgrep/CodeQL/osv/trufflehog toolchain
Record and advance every vulnerability finding through the tool-owned mantis_findings service instead of tracking findings in prose
Turn a captured HTTP request/response into a bounded, redacted evidence pack with a stable request-ref using the mantis_http_audit MCP server, instead of pasting raw traffic into a finding
The master Mantis playbook -- how to run an authorized vulnerability-discovery engagement end to end, which subagent owns each stage, which MCP tool feeds it, and how findings move through the tool-owned lifecycle
Run osv-scanner via the mantis_osv_scanner MCP server for SCA (vulnerable dependency) findings
| 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:
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.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.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.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.