Clone to Claude
Last commit on April 4, 2026·Created on March 29, 2026
SunWeb3Sec/llm-sast-scanner
“Analyzes code for vulnerabilities, then double-checks its own findings.”
Combined rank
#366
across all skills
In Security
#19
category rank
Stars
273
0.0% in last 7d
Forks
32
0.0% in last 7d
Watchers
4
0.0% in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
Description
This skill performs static application security testing across 34 vulnerability classes, using source-to-sink taint tracking to find injection flaws, auth gaps, data exposure, and more. It includes a judge step that revalidates every finding, reducing false positives before reporting. It helps security engineers, developers, and auditors review code with systematic coverage.
WHO IT'S FOR
AI Security Engineers
equip AI coding agents with SAST capabilities
Application Security Analysts
augment manual code review with AI-driven scanning
DevSecOps Teams
automate vulnerability scanning in AI-powered pipelines
Security-Conscious Developers
request AI-guided security code review
30 Days of GitHub Stars
+7 stars↑ 1.9% monthly change
Jul 7Jul 14Jul 21Jul 28Aug 5
Compatibility & Install1 Skill · 2 Compatible agents · 3 categories · 3 install paths
Compatible agents
❯Claude Code❯Codex
Categories
SecuritySoftware EngineeringCode Quality
Install viaRepository instructions Repository instructions
Repository instructions
Clone to Codex
Manual Copy
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