deps

Name: deps
Availability: InStock
Author: karimatayuta

Audit, update, and secure Python dependencies using uv and pyproject.toml.

Updated Feb 7, 2026

Search Tags:#security #python #uv #dependencies #audit #update #package-manager

Ready to run

npx skills add https://github.com/karimatayuta/graph-vector-rag --skill deps-karimatayuta

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deps
Source: https://github.com/karimatayuta/graph-vector-rag/tree/main/.claude/skills/deps
Command: npx skills add https://github.com/karimatayuta/graph-vector-rag --skill deps-karimatayuta

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Dependencies drift and outdated libraries slow development and introduce security risks.

Core Features & Use Cases

Audit installed packages and identify outdated versions
Update, add, or remove dependencies with safe, batched operations
Lock and verify dependency graphs to ensure reproducible builds

Quick Start

Run the dependency manager to audit, update, and pin dependencies for the project.

Frequently Asked Questions about deps

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

FAQPage Schema

How do I audit and update outdated Python dependencies using uv?▼

To audit and update Python dependencies with uv, you can list installed packages, identify outdated versions, and sync lock files. The tool provides commands for check, update, and lock operations to maintain project stability and security.

What is the best way to secure Python dependencies in a pyproject.toml project?▼

Securing Python dependencies in a pyproject.toml project involves auditing installed packages for outdated versions and applying safe, batched updates. Locking and verifying the dependency graph ensures reproducible builds and mitigates security risks from library drift.

Can I add or remove Python packages without breaking the dependency graph?▼

Yes, you can add or remove Python packages safely. The process includes guardrails that prompt you before upgrades and verify compatibility, ensuring dependency graph integrity and project stability are maintained during batched operations.

Does this dependency manager support batched operations for Python package updates?▼

Yes, the dependency manager supports safe, batched operations for updating, adding, or removing Python packages. It applies guardrails to prompt before upgrades and ensures compatibility to prevent breaking changes across your pyproject.toml configuration.

Why does dependency drift introduce security risks in Python projects?▼

Dependency drift introduces security risks because outdated libraries contain known vulnerabilities. Auditing installed packages, identifying outdated versions, and syncing lock files keeps Python dependencies fresh, ensuring reproducible builds and maintaining project stability.