Leaderboard/Security/llm-sast-scanner
Last commit on August 22, 2026·Created on March 29, 2026

SunWeb3Sec/llm-sast-scanner

A structured approach to detecting vulnerabilities across 34 distinct security classes.
Combined rank
#635
across all skills
In Security
#24
category rank
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TL;DR

This skill provides AI agents with a systematic framework for Static Application Security Testing (SAST). It enables the analysis of source code across web, API, authentication, mobile, and logic layers to identify security bugs.

By utilizing source-to-sink taint tracking and class-specific detection heuristics, it helps application security engineers produce actionable findings that include severity ratings and precise code locations.

WHO IT'S FOR
Application Security Engineers
automate vulnerability detection across 34 classes
AI agent / automation builders
integrate security auditing into AI agents
Security Auditors
perform audits using taint tracking heuristics
Backend / infrastructure engineers
review security for APIs and server-side logic
Repository contents

1 skill file

Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.

Use this skill

Follow the documented setup, then try a first task.

I’m using

Git installation for Claude Code

Installs: Installs the llm-sast-scanner skill. · Claude Code

  1. In a terminal, clone the documented repository and copy its llm-sast-scanner skill directory into Claude Code's skills folder.

    git clone https://github.com/anthropic-lab/llm-sast-scanner.git
    cp -r llm-sast-scanner/llm-sast-scanner/ ~/.claude/skills/
README.md · Checked Sep 18, 2026llm-sast-scanner/SKILL.md · Checked Sep 18, 2026

Give it something to do.

Suggested first task

Run a quick source-code security scan

Uses llm-sast-scanner

  • Target source-code file or directory to substitute for <target file or directory>
  • Language and framework, if known
Use the llm-sast-scanner skill to perform a quick security scan of <target file or directory>. Determine the language and framework, trace relevant attacker-controlled sources to potential sinks, verify each finding to reduce false positives, and report severity, affected file and line number, and remediation guidance. Treat <target file or directory> as a placeholder for the code I provide.
README.md · Checked Sep 18, 2026llm-sast-scanner/SKILL.md · Checked Sep 18, 2026