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plugin-validator

Validate plugin directories for structure, integrity, and documentation quality.

Updated Aug 23, 2026
Search Tags:#quality assurance#AI architecture#plugin validation#plugin testing#documentation quality#code integrity#markdownlint
One-click install
npx skills add https://github.com/RevTechStudio/rts-plugins --skill plugin-validator-revtechstudio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: plugin-validator
Source: https://github.com/RevTechStudio/rts-plugins/tree/main/rts-plugin-generator/skills/plugin-validator
Command: npx skills add https://github.com/RevTechStudio/rts-plugins --skill plugin-validator-revtechstudio

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures the high quality and reliability of AI plugins by performing comprehensive validation checks. It identifies structural issues, inconsistencies between elements, and documentation quality problems, preventing errors before deployment and guaranteeing a robust AI system.

Core Features & Use Cases

  • Structural Validation: Verifies directory structure, file naming conventions, and the correctness of frontmatter in all plugin files.
  • Integrity Checks: Confirms that commands correctly reference existing agents and skills, and detects critical issues like circular dependencies or architecture violations.
  • Documentation Quality: Assesses the quality of Markdown documentation, checking for required sections, proper formatting, and adherence to style guidelines (e.g., markdownlint).
  • Use Case: After developing a new AI plugin, use this skill to run a full validation report. It will flag missing files, incorrect references, architectural rule breaks, and even Markdown formatting errors, ensuring your plugin is ready for release.

Quick Start

Validate the entire 'database-design-plugin' located in the current directory and generate a quality report.

Frequently Asked Questions about plugin-validator

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

FAQPage Schema
How do I validate an AI plugin's structure and integrity before deployment?▼

Plugin validation checks directory structure, file naming, frontmatter correctness, and inter-element consistency. Run the validator on your plugin directory to generate a comprehensive report flagging structural issues, missing files, incorrect references, and architectural violations before release.

What does plugin validation check for in documentation quality?▼

Documentation quality validation assesses Markdown files for required sections, proper formatting, and adherence to style guidelines using markdownlint. It ensures README.md and SKILL.md files meet publishing standards and contain complete, well-structured information.

Can I detect circular dependencies and architecture rule violations in my plugin?▼

Yes, integrity checks confirm that commands correctly reference existing agents and skills, detecting critical issues like circular dependencies and architecture violations. The validator ensures your plugin follows established design patterns and dependency rules.

What files and directories does plugin validation cover?▼

The validator scans README.md, agents/, skills/*/SKILL.md, commands/, and optional .claudeignore files. It performs structural validation, required file existence checks, and front-matter parsing across all plugin components.

Why should I validate plugins before releasing them?▼

Validation prevents errors from reaching production by identifying structural issues, inconsistencies, documentation problems, and integrity violations early. A comprehensive validation report ensures robust AI system operation and catches issues that could cause plugin failures.

What output does the plugin validator generate?▼

The validator produces a comprehensive report with findings, recommended improvements, and a quality assessment. The report details all structural violations, missing references, documentation gaps, and Markdown formatting errors discovered during validation.

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