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verify

Audits knowledge base files for structural, semantic, and link issues.

Updated Apr 26, 2026
Search Tags:#verify#frontmatter#knowledge-base#fidelity#content-quality#schema-validation#link-checks
One-click install
npx skills add https://github.com/kinnerkarmanish/mak --skill verify-kinnerkarmanish
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: verify
Source: https://github.com/kinnerkarmanish/mak/tree/main/library/skills/processing/verify
Command: npx skills add https://github.com/kinnerkarmanish/mak --skill verify-kinnerkarmanish

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Knowledge bases often suffer from structural inconsistencies, broken links, missing frontmatter, and drift between abstracts and full content, which undermines trust and slows research.

Core Features & Use Cases

  • Frontmatter and structure validation: ensures required fields exist and metadata is consistent across files.
  • Link integrity and schema checks: validates internal references and enforces type-specific schemas for content nodes.
  • Fidelity monitoring and drift detection: compares L0 abstracts to full content to surface semantic drift.
  • Non-blocking reporting: reports issues without blocking work to support safe quality governance.

Quick Start

Run /verify --scope all to audit the complete knowledge base and generate a comprehensive quality report.

Frequently Asked Questions about verify

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

FAQPage Schema
How do I automate knowledge-base quality checks for frontmatter and broken links?▼

You can validate YAML frontmatter and check internal link integrity by running an audit across individual files or entire knowledge-base nodes. The process identifies structural inconsistencies and schema violations, generating a comprehensive quality report without blocking your workflow.

What is abstract fidelity scoring and how does it detect semantic drift?▼

Abstract fidelity scoring is a mechanism that compares L0 abstracts against full content to detect semantic drift. It evaluates whether summaries diverge from the actual document body, ensuring your knowledge-base abstracts remain accurate and reliable for research.

Can I run schema validation and content quality audits on a large repository?▼

Yes, you can run schema validation on a large repository using optional sampling and scope controls. By setting the scope to all, the audit scales to process the full knowledge base while enforcing type-specific schemas and validating internal references.

What is the best way to enforce metadata consistency across knowledge-base files?▼

The best way to enforce metadata consistency is to apply frontmatter and structure validation across your knowledge base. This ensures required fields exist in every file and validates type-specific schemas to maintain governance and content reliability.

Does knowledge-base quality governance block work when broken links are found?▼

No, knowledge-base quality governance uses non-blocking reporting to surface broken links and structural issues. This approach allows you to identify and track schema violations and semantic drift safely without interrupting your active workflow.

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