safety-pyup

Name: safety-pyup
Availability: InStock
Author: DTMC-marketplace

Scan Python project dependencies for known security vulnerabilities using Safety and PyUp.

2|Updated Jan 15, 2026

Search Tags:#security #vulnerability #python #dependencies #compliance #cybersecurity

Ready to run

npx skills add https://github.com/DTMC-marketplace/governance --skill safety-pyup

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: safety-pyup
Source: https://github.com/DTMC-marketplace/governance/tree/main/skills/safety-pyup
Command: npx skills add https://github.com/DTMC-marketplace/governance --skill safety-pyup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you identify and mitigate security risks in your Python projects by checking for known vulnerabilities in your project's dependencies.

Core Features & Use Cases

Vulnerability Scanning: Scans Python project dependencies against known security databases.
Risk Identification: Highlights packages with critical, high, or medium severity vulnerabilities.
Compliance Support: Aids in meeting regulatory requirements like the EU AI Act's Art. 15 by ensuring the security posture of AI systems.
Use Case: Before deploying an AI application, use this Skill to scan its requirements.txt file to ensure no vulnerable libraries are included, preventing potential security breaches.

Quick Start

Use the safety-pyup skill to check the attached file 'requirements.txt' for security vulnerabilities.

Frequently Asked Questions about safety-pyup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I check Python dependencies for known security vulnerabilities?▼

To check Python dependencies for security vulnerabilities, scan your requirements.txt file against known security databases to identify vulnerable packages, assess severity levels, and suggest secure alternatives for risk mitigation.

Can I scan my Python project for vulnerabilities to meet EU AI Act compliance?▼

Yes, scanning Python dependencies supports compliance with regulatory requirements like the EU AI Act's Art. 15 by identifying vulnerable packages and ensuring the cybersecurity posture of AI systems meets security standards.

What is the best way to identify vulnerable packages in a requirements.txt file?▼

The best way to identify vulnerable packages in a requirements.txt file is to run a vulnerability scan that cross-references your dependencies against known security databases like Safety and PyUp to highlight critical, high, or medium severity risks.

Does Safety check for vulnerabilities in both medium and critical severity levels?▼

Yes, Safety checks for vulnerabilities across multiple severity levels, highlighting packages with critical, high, or medium severity vulnerabilities to help you prioritize risk mitigation and secure your Python dependencies effectively.

How do I secure Python dependencies before deploying an AI application?▼

To secure Python dependencies before deploying an AI application, scan your requirements.txt file to detect vulnerable libraries, assess their severity, and replace them with secure alternatives to prevent potential security breaches.

Why should I monitor cybersecurity risks in my Python project dependencies?▼

You should monitor cybersecurity risks in Python project dependencies because vulnerable libraries can lead to security breaches, and continuous monitoring helps maintain compliance and mitigate emerging threats to your AI systems.