library-checker

Validate Python dependencies against security policies and approved libraries.

2|Updated Mar 24, 2026

Search Tags:#security #python #validation #libraries #compliance #upgrade #dependency

Ready to run

npx skills add https://github.com/niltonfrederico/my-agents --skill library-checker

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: library-checker
Source: https://github.com/niltonfrederico/my-agents/tree/main/skills/library-checker
Command: npx skills add https://github.com/niltonfrederico/my-agents --skill library-checker

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Dependency management for Python projects is prone to security and licensing risks; library-checker validates dependencies against the juntossomosmais/allowed-libraries repository and internal security policies to ensure compliance and safer upgrades.

Core Features & Use Cases

Dependency Validation: Check approval status, security compliance, license compatibility, version compatibility, and upgrade options.
Security Analysis: Vulnerability assessment, policy adherence, risk scoring, and audit trails.
Integration Validation: Django/DRF ecosystem compatibility, STOMP messaging, database libraries, authentication libraries, and testing tools.
Upgrade Planning: Safe upgrade paths and breaking-change considerations.

Quick Start

Run the library-checker against your requirements.txt or Pipfile to generate a dependency compliance report.

Frequently Asked Questions about library-checker

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

FAQPage Schema

How do I validate Python dependencies for security compliance?▼

To validate Python dependencies for security compliance, run a check against your project files like requirements.txt or Pipfile to generate a report detailing approval status, vulnerability scores, and license compatibility.

What is a dependency compliance report in Python projects?▼

A dependency compliance report identifies whether your Python libraries meet internal security policies, featuring policy adherence checks, vulnerability assessments, risk scoring, and audit trails for safer upgrades.

Can I check Django and DRF ecosystem compatibility for my Python libraries?▼

Yes, you can check Django and DRF ecosystem compatibility by validating dependency files to ensure database libraries, authentication libraries, and testing tools adhere to security policies and version matrices.

How do I plan a safe upgrade path for vulnerable Python libraries?▼

Plan a safe upgrade path for vulnerable Python libraries by analyzing dependency files to enforce policy checks, evaluate breaking-change considerations, and recommend secure version matrices for your project.

Does dependency validation work with poetry.lock and microservices?▼

Dependency validation works across project files including poetry.lock and applies to scenarios like microservices and data pipelines to ensure version compatibility and policy adherence across distributed environments.