What happens if a verification step fails?

The skill provides a detailed breakdown of failures (like dangling links or missing YAML fields) and can automatically draft or apply fixes if given edit permissions.

Can I use this for non-Zettelkasten notes?

Yes, the skill is highly configurable via ops/config.yaml and derivation-manifest.md, allowing it to adapt to different domain vocabularies and folder structures.

What is the 'cold-read' prediction test?

It is a unique quality check where the AI reads only the title and description to predict the note's content; if the prediction matches the actual note, the description is deemed high-quality and descriptive.

Does this require an MCP server?

While it can use MCP servers for vector search, it also supports local CLI fallbacks and standard file system tools for most verification tasks.

Note Verification & Quality Gate

Name: Note Verification & Quality Gate
Author: micsapp

bymicsapp

0•

内容管理

Verifies digital notes for schema compliance, link integrity, and description quality using predictive testing and health checks.

This skill acts as a comprehensive quality control mechanism for digital knowledge bases, second brains, and Zettelkasten systems managed via Claude Code. It implements a rigorous multi-step verification process including a 'cold-read' prediction test to ensure descriptions are meaningful, automated schema validation against templates, and deep health checks for broken links and topic map integration. By enforcing structural and semantic integrity, it ensures that your knowledge graph remains discoverable, well-connected, and high-quality for long-term use.

主要功能

01Semantic retrieval testing via vector search to confirm note findability

02Cold-read prediction test to evaluate description accuracy and semantic clarity

03Topic map integration checks to prevent orphaned notes and ensure categorization

040 GitHub stars

05Comprehensive wiki-link resolution and dangling link detection

06Automated YAML schema validation against custom templates and field constraints

使用场景

01Performing periodic maintenance to identify and fix broken links across a knowledge base

02Running a quality gate immediately after creating a new permanent note in a vault

03Auditing research collections for content staleness and organizational gaps

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills verify

For use in Claude.ai and ChatGPT