AI-Powered Frame Security Scan: Code Vulnerability Detection

AI-Powered Frame Security Scan: Code Vulnerability Detection

The AI-Powered Frame Security Scan is a specialized tool designed to identify security vulnerabilities in source code across multiple programming languages (Python, JavaScript/TypeScript, Java, C#, C/C++). Through the integration of the open-source Frame CLI and its MCP server, this capability facilitates comprehensive code scanning to discover, triage, and rectify security issues, ensuring robust protection against vulnerabilities. The tool is suited for users who need to perform security scans in their local shell environment, review taint or injection findings, and apply verified fixes within their codebases.

What this skill does

• Installs and sets up Frame CLI for scanning source code for vulnerabilities.
• Performs security scans on code repositories or specific files upon user request.
• Analyzes scan results to identify issues such as taint or injection vulnerabilities.
• Generates and verifies fixes for detected vulnerabilities, with user consent before making any changes.
• Allows re-scanning after fixes to ensure security vulnerabilities have been resolved.

Who it is for

This skill is tailored for developers and teams utilizing AI coding agents, such as Claude Code, Cursor, and Codex, seeking to enhance their code security and integrity through automated vulnerability detection and resolution.

Use cases

• Enhancing security protocols during development by identifying code vulnerabilities early in the software lifecycle.
• Assisting developers in verifying and applying security fixes without the need for extensive manual intervention.
• Facilitating educational and authorized research in code security practices.

Technical details

• Utilizes the Frame CLI for command-line based code analysis.
• Incorporates MCP server tools such as `scan`, `verify`, `fix`, and `solve` for streamlined processing.
• Installs via PyPI, leveraging the `frame-security` package for configuration and setup.
• The process includes user confirmation steps before sending code to a network endpoint or applying in-place modifications.

For authorised security testing, defensive research and educational use only.

Source & Licence

This package is built on open-source work published by lambdasec (lambdasec/skills) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.