stats

Analyze knowledge vault metrics including claims, connections, health, and growth.

Updated Jul 3, 2026

Search Tags:#metrics #health monitoring #system analysis #knowledge vault #growth tracking

Ready to run

npx skills add https://github.com/GiorgioRicciardiello/LabBrain --skill stats-giorgioricciardiello

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: stats
Source: https://github.com/GiorgioRicciardiello/LabBrain/tree/main/core/.claude/skills/stats
Command: npx skills add https://github.com/GiorgioRicciardiello/LabBrain --skill stats-giorgioricciardiello

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, uvicorn, chronicle_r, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive overview of your knowledge vault's statistics, helping you monitor its health, growth, and performance.

Core Features & Use Cases

Knowledge Graph Metrics: Show the number of claims, connections, and topic maps in your knowledge graph.
Health Metrics: Assess the integrity and compliance of your vault, including orphans, dangling links, and schema compliance.
Pipeline Metrics: Track the processing performance of your knowledge processing pipeline.
Growth Metrics: Monitor the growth of your knowledge vault over time, including new claims and connections.
System Metrics: Provide insights into the system's operational status, including self space, methodology notes, observations, tensions, and sessions.

Quick Start

To get started, simply run the command '/stats' to view the statistics of your knowledge vault.

Frequently Asked Questions about stats

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

FAQPage Schema

How do I monitor the health and growth of my knowledge vault?▼

Monitor knowledge vault health and growth by running the '/stats' command to analyze claims, connections, topic maps, and schema compliance. It assesses vault integrity by identifying orphans and dangling links while tracking processing pipeline performance.

What metrics are included in a knowledge graph analysis?▼

Knowledge graph analysis includes metrics for the number of claims, connections, and topic maps within your vault. It also provides health metrics assessing schema compliance, pipeline metrics for processing performance, and growth metrics tracking new claims over time.

How do I check my knowledge vault for orphaned claims and dangling links?▼

Check for orphaned claims and dangling links by executing the '/stats' command, which evaluates vault integrity and compliance. This health monitoring process identifies disconnected entries and schema violations to ensure your knowledge base remains structurally sound.

Do I need Python and uvicorn to run knowledge vault metrics scripts?▼

Yes, Python, uvicorn, and chronicle_r are required dependencies to execute the specific scripts for detailed metrics. The advanced internal design accesses vault files and configuration to process and present system analysis data accurately.

Can I track the processing performance of my knowledge processing pipeline?▼

Yes, you can track knowledge processing pipeline performance through the system metrics provided by the '/stats' command. It monitors operational status including self space, methodology notes, observations, tensions, and processing sessions over time.

What is the best way to view knowledge base statistics and system operational status?▼

The best way to view knowledge base statistics and system operational status is by running the '/stats' command. It instantly analyzes vault files to present comprehensive metrics covering graph structure, health compliance, and historical growth tracking.