skills.rest
sunLeee
sunLeeeCOMMUNITY
Explore all skills by this author →
GitHub

check-config-validation

Validate YAML syntax and Pydantic schema conformance across dev, prod, and test environments.

Updated Mar 19, 2026
Search Tags:#pydantic#validation#schema#yaml#config#omegaconf
One-click install
npx skills add https://github.com/sunLeee/optimization --skill check-config-validation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: check-config-validation
Source: https://github.com/sunLeee/optimization/tree/main/.claude/skills/quality/check/check-config-validation
Command: npx skills add https://github.com/sunLeee/optimization --skill check-config-validation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill validates configuration files to prevent runtime errors by ensuring YAML syntax is correct, schemas are followed, and environment-specific settings remain consistent.

Core Features & Use Cases

  • YAML syntax validation to catch indentation, duplicate keys, and encoding issues.
  • Pydantic schema validation to ensure structure and types align with defined configs.
  • Environment consistency checks across dev, prod, and test to detect drift and anti-patterns.
  • Anti-pattern detection for hard-coded values and sensitive data exposure to improve maintainability.

Quick Start

Provide the path to a config file or directory and the skill will report YAML validity, schema conformance, and environment consistency.

Frequently Asked Questions about check-config-validation

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

FAQPage Schema
How do I validate YAML config files for syntax errors and schema conformance?▼

Validate YAML config files by parsing syntax to catch indentation and duplicate keys, then applying Pydantic schema validation to ensure structure and types align, preventing runtime configuration errors.

What is the best way to check for configuration drift across dev, prod, and test environments?▼

Check configuration drift across dev, prod, and test by verifying environment consistency, detecting anti-patterns, and identifying hard-coded values to ensure reliable deployments.

Can I use Pydantic and OmegaConf together for YAML configuration validation?▼

Yes, you can use Pydantic and OmegaConf together for YAML configuration validation to enforce schema conformance, apply convention-config rules, and ensure type safety across your configuration files.

How do I detect anti-patterns and hard-coded sensitive data in my config files?▼

Detect anti-patterns and hard-coded sensitive data by applying environment consistency checks and schema validation to your config files, preventing sensitive data exposure and improving maintainability.

Does this config validation approach work without external dependencies?▼

Yes, this config validation approach works without external dependencies, using built-in YAML parsing, Pydantic schema validation, and OmegaConf integration to validate configuration files directly.

Related Skills

Explore More Software Engineering Skills→
Renzo-TognellaRenzo-Tognella

Pydantic & Data Modeling

Define and validate Pydantic data models for Python schemas.

Community
Intermediate
romankovsvromankovsv

deployment-patterns

Automate Python deployment workflows with CI/CD pipelines and containerization patterns.

Community
Advanced
yunseo-kimyunseo-kim
1

gitlab-ci-patterns

Generate GitLab CI/CD pipeline patterns for build, test, and deploy stages.

Community
Intermediate
IbIFACE-TechIbIFACE-Tech

tool-integration

Create and manage custom tools and external APIs for AI agents.

Official
Advanced