What AI says about llm-sast-scanner
The llm-sast-scanner is a general-purpose static application security testing (SAST) skill designed for use with LLM-based code agents (e.g., Claude Code, OpenAI Codex) to perform structured source-to-sink taint analysis across 34 vulnerability classes. It guides the AI through an evidence-based workflow: load vulnerability references, map sources, trace taint, verify findings with a Judge step, and report actionable results with file paths, line numbers, and remediation. It supports Java, Python, JavaScript/TypeScript, PHP, and .NET with language-specific detection rules, and can be installed by cloning the repository into the relevant AI agent's skills folder or downloaded manually.
AI named llm-sast-scanner from August 2026 to September 2026.
Questions and answers
- AI picks most
- We need to scan our code for insecure usage of LLM libraries. What's the best static analysis tool that understands AI security risks?AI picks Semgrep most
Excerpts where llm-sast-scanner appeared in the AI's answer
Google AI ModeAug 17, 2026, Google AI Mode Community projects like llm-sast-scanner provide specific AST and taint workflows focused explicitly on mapping dangerous multi-turn or agentic tool definitions
llm-sast-scanner in AI’s own words
Competitors
CodeQL, NVIDIA Garak, and Semgrep appeared in every answer that named llm-sast-scanner.
Sources AI cites
AI cited github.com in these answers, after semgrep.dev.
github.com/sunweb3sec/llm-sast-scanner 13%Other sites 87%
