Health Check

Automates health diagnostics and consistency verification for SweetClaude project environments.

6|3|Updated Apr 12, 2026
One-click install
npx skills add https://github.com/carson-sweet/sweetclaude --skill health-check-carson-sweet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Health Check
Source: https://github.com/carson-sweet/sweetclaude/tree/main/skills/_health
Command: npx skills add https://github.com/carson-sweet/sweetclaude --skill health-check-carson-sweet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill ensures your project remains consistent and healthy by automatically detecting configuration drift, version mismatches, and storage linting errors.

Core Features & Use Cases

  • Consistency Scanning: Validates project state against established SweetClaude framework requirements.
  • Storage Linting: Identifies and reports storage-related configuration issues using automated diagnostic tools.
  • Integrity Monitoring: Detects divergence between the project base and the source of truth to prevent session-state corruption.

Quick Start

Run the health check to verify your project configuration and identify any potential storage or integrity issues.

Frequently Asked Questions about Health Check

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

FAQPage Schema
How do I detect configuration drift and storage linting errors in my project?

To detect configuration drift and storage linting errors, run an automated health check that executes shell-based hooks and Python-driven linting to identify version mismatches and integrity issues within your project environment.

What is project consistency scanning and when do I need it?

Project consistency scanning validates your current project state against established framework requirements to prevent session-state corruption. You need consistency scanning when you suspect divergence between your project base and its source of truth.

How do I run an integrity check on my project state files?

To run an integrity check on project state files, execute the diagnostic scripts which require access to project-level state files and the plugin root directory to verify configuration consistency and report storage issues.

Can I use automated diagnostic scripts to monitor version mismatches?

Yes, you can use automated diagnostic scripts to monitor version mismatches by validating the project state against framework requirements and executing Python-driven linting to flag configuration inconsistencies.

What are the limitations of shell-based health diagnostics for project integrity?

The limitations of shell-based health diagnostics include requiring direct access to project-level state files and the specific plugin root directory, meaning the diagnostic scripts cannot execute properly without this environment setup.

Does the health check diagnostic work without the SweetCLAude plugin root directory?

No, the health check diagnostic does not work without the SweetCLAude plugin root directory because the automated diagnostic scripts require access to this specific root directory to execute shell-based hooks and Python-driven linting successfully.