python-dependency-vetting

Name: python-dependency-vetting
Availability: InStock
Author: Prem

Analyze Python dependencies for license compliance, vulnerabilities, and maintenance status.

Updated Aug 27, 2026

Search Tags:#security #vulnerability #python #license #package #dependency #vetting

Ready to run

npx skills add https://github.com/PremModhaOfficial/sdk-pipeline --skill python-dependency-vetting

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-dependency-vetting
Source: https://github.com/PremModhaOfficial/sdk-pipeline/tree/main/skills/python-dependency-vetting
Command: npx skills add https://github.com/PremModhaOfficial/sdk-pipeline --skill python-dependency-vetting

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the vetting process for Python dependencies, preventing licensing issues, vulnerabilities, and maintenance risks before integration.

Core Features & Use Cases

Dependency analysis: Checks license compliance, vulnerability tiers, package size, and recent activity.
Risk assessment: Identifies typosquatting, native code, and adoption metrics to evaluate dependency safety.
Use Case: When adding or updating a dependency in pyproject.toml, automatically verify it against security advisories, license allowlists, and maintenance signals to ensure a robust dependency set.

Quick Start

Use the dependency vetting skill to analyze the library httpx for compliance with security and licensing standards.

Frequently Asked Questions about python-dependency-vetting

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

FAQPage Schema

How do I check Python dependencies for security vulnerabilities and license compliance?▼

To check Python dependencies for security vulnerabilities and license compliance, you can analyze your project packages against security advisories, license allowlists, and maintenance signals to prevent integration risks.

What is Python dependency vetting and when do I need it?▼

Python dependency vetting is the process of analyzing project packages for license compliance, vulnerabilities, package size, and maintenance status. You need it when adding or updating dependencies to ensure a robust dependency set.

Can I automatically verify a new package in pyproject.toml for typosquatting and maintenance risks?▼

Yes, you can automatically verify packages in pyproject.toml for typosquatting, native code, adoption metrics, and recent activity to evaluate dependency safety and prevent maintenance risks before integration.

What's the best way to assess Python package size and adoption metrics for SDK development?▼

The best way to assess Python package size and adoption metrics for SDK development is to perform automated dependency analysis that checks recent activity, package size, and adoption metrics to evaluate dependency safety.

Does Python dependency vetting check for native code and recent package activity?▼

Yes, Python dependency vetting checks for native code and recent package activity. It evaluates dependency safety by identifying native code, recent activity, typosquatting, and adoption metrics during the risk assessment process.

How do I analyze a specific Python library like httpx for security and licensing standards?▼

To analyze a Python library like httpx for security and licensing standards, use dependency vetting to automatically verify the package against security advisories, license allowlists, and maintenance signals.