validate-config

Validate Claude AI configuration files for integrity and consistency.

11|1|Updated Aug 6, 2025
One-click install
npx skills add https://github.com/thkt/dotclaude --skill validate-config-thkt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: validate-config
Source: https://github.com/thkt/dotclaude/tree/main/.ja/skills/validate-config
Command: npx skills add https://github.com/thkt/dotclaude --skill validate-config-thkt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill ensures that your Claude AI configuration files are consistent and correctly formatted, preventing potential errors and improving AI performance.

Core Features & Use Cases

  • Configuration Validation: Checks for missing files, incorrect references, and invalid model values within your Claude AI setup.
  • Error Detection: Identifies issues like missing skill directories, invalid agent configurations, and incorrect schema prefixes.
  • Use Case: Before deploying a new set of custom agents, run this Skill to catch any misconfigurations that could lead to runtime errors or unexpected AI behavior.

Quick Start

Run the validate-config skill to check your current Claude AI configuration.

Frequently Asked Questions about validate-config

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

FAQPage Schema
How do I validate Claude AI configuration files for missing references?

To validate Claude AI configuration files, this skill checks skill and agent references, detects missing directories, and ensures schema prefixes are correctly formatted.

What does configuration integrity checking do for custom agents?

Configuration integrity checking for custom agents detects isolated agents, verifies valid model values, and ensures adherence to defined conventions to prevent runtime errors.

Can I automatically fix invalid schema prefixes in Claude configuration?

Yes, you can fix invalid schema prefixes by running the validation skill with the optional --fix argument, which suggests corrections for identified configuration errors.

When do I need to run error checking on my AI configuration?

You need to run error checking on your AI configuration before deploying a new set of custom agents to catch misconfigurations that could lead to runtime errors or unexpected AI behavior.

Why does my Claude AI agent configuration fail at runtime?

Your Claude AI agent configuration might fail at runtime due to incorrect references, invalid model values, or isolated agents, which you can identify by running a configuration validation check.