sast-skills
Transform your AI coding assistant into a SAST scanner to automatically detect vulnerabilities in code.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 1.1k
- Source
- skill-github
- Repository
- github.com/utkusen/sast-skills
Overview
sast-skills is a set of agent skills that turns your LLM coding assistant into a fully functional SAST scanner for identifying vulnerabilities in codebases. Supports IDEs such as Claude Code, Codex, Opencode, Cursor, and more. No third-party tools required. The skill set operates in three steps: 1. Codebase analysis; 2. Parallel vulnerability detection; 3. Report generation. Final reports are sorted by severity and include complete remediation guidance and dynamic testing instructions.
Capabilities
- ▪Codebase reconnaissance and architecture mapping
- ▪SQL injection detection
- ▪GraphQL injection detection
- ▪Cross-site scripting detection
- ▪Remote code execution detection
- ▪Server-side request forgery detection
Use cases
Setup
Copy your project into the `sast-files` folder, then open `sast-files` as a workspace in your AI coding assistant. ```bash cp -r /path/to/your/project sast-files/```
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How do I get started?
Copy your project into the `sast-files` folder, then open and run the vulnerability scan in your AI coding assistant.
Which IDEs are supported?
Supports IDEs such as Claude Code, Codex, Opencode, Cursor, and others.
Do I need third-party tools?
No, all functionality is integrated within the skill set.
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