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ensuring-prompt-quality

Validate prompt files against repository quality guidelines and generate issue reports.

1|Updated Dec 16, 2025
Search Tags:#automation#validation#yaml#quality#frontmatter#prompt
One-click install
npx skills add https://github.com/farmanlab/ai_agent_orchestra --skill ensuring-prompt-quality
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ensuring-prompt-quality
Source: https://github.com/farmanlab/ai_agent_orchestra/tree/main/.agents/skills/ensuring-prompt-quality
Command: npx skills add https://github.com/farmanlab/ai_agent_orchestra --skill ensuring-prompt-quality

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the quality review of prompt files across the .agents workspace, catching issues in naming, structure, triggers, and trainer guidelines to save reviewers time and ensure consistent, high-quality prompts.

Core Features & Use Cases

  • Frontmatter validation: Ensures name length (max 64 chars), lowercase/hyphen only, presence of required fields, and proper description with third-person perspective and triggers.
  • Structural checks: Verifies headings, table of contents inclusion for long files, and 500-line guidance for SKILL.md-like entries.
  • Content consistency: Detects duplications or conflicts across related files, ensures consistent terminology and style.
  • Automatic reporting: Generates a validation report with findings to guide improvements.
  • Use Case: After creating or editing rules, skills, agents, or commands in .agents/, run this Skill to ensure the entire prompt family adheres to guidelines before release.

Quick Start

Run the quality validator on the Ensuring Prompt Quality skill directory: use a command like "validate-prompt-quality .agents/skills/ensuring-prompt-quality" to produce a report of any issues and suggested fixes.

Frequently Asked Questions about ensuring-prompt-quality

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

FAQPage Schema
How do I validate prompt quality in my .agents workspace?▼

Prompt validation checks frontmatter metadata, structural formatting, naming conventions, and content consistency across Skills, Rules, Agents, and Commands. Run the validator on your .agents directory to generate a report identifying issues like invalid name length, missing required fields, or structural anti-patterns before release.

What does frontmatter validation check for prompt files?▼

Frontmatter validation ensures names are 64 characters or fewer with lowercase and hyphens only, verifies all required metadata fields are present, and confirms descriptions follow third-person perspective with clear trigger documentation. It catches naming and metadata completeness issues early.

Can I automate quality checks when creating or editing prompts?▼

Yes. The validator integrates into your workflow to catch issues during creation and editing scenarios. Run validation after modifying Skills, Rules, Agents, or Commands in .agents/ to verify the entire prompt family adheres to guidelines before release, eliminating manual review overhead.

What structural issues does prompt validation detect?▼

Structural checks verify heading hierarchy, confirm table of contents inclusion for longer files, and apply 500-line guidance for SKILL.md entries. Detection includes duplications, conflicts across related files, inconsistent terminology, and style deviations.

Why should I validate prompts before releasing them?▼

Validation catches naming ambiguities, missing metadata, structural inconsistencies, and anti-pattern violations that reviewers would identify manually. Automating this review saves time, ensures consistent quality across your prompt family, and prevents deployment of incomplete or malformed files.

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