brain-audit-cycle

Audit and refresh Hermes brain skills, memories, and health indicators.

Updated Sep 1, 2021
One-click install
npx skills add https://github.com/unclehowell/unclehowell --skill brain-audit-cycle
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: brain-audit-cycle
Source: https://github.com/unclehowell/unclehowell/tree/main/skills/brain-audit-cycle
Command: npx skills add https://github.com/unclehowell/unclehowell --skill brain-audit-cycle

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic audit of the Hermes brain ecosystem to ensure skills stay fresh, memories stay accurate, and services remain healthy through routine checks and updates.

Core Features & Use Cases

  • Dual-layer skill health validation: verify leaf SKILL.md entries and umbrella categories containing sub-skills, identify gaps, and prepare patches.
  • Memory quality review and archival: assess core memories and context for accuracy, and archive outdated learnings to appropriate locations.
  • Patch, version, and sync workflow: automate version bumps, patch descriptions, and synchronize changes to persistent storage and the repository.

Quick Start

Run the Brain Audit Cycle to perform a full health check and apply patches to skills, memories, and services.

Frequently Asked Questions about brain-audit-cycle

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

FAQPage Schema
How do I automate skill health checks and memory maintenance for my AI system?

You can automate skill health checks and memory maintenance using a cron-driven audit cycle that validates leaf SKILL.md entries, reviews memory archives, and applies version patches to keep content durable.

What is a dual-layer skill audit and when do I need to run one?

A dual-layer skill audit verifies both individual leaf SKILL.md entries and umbrella categories containing sub-skills to identify content gaps. Run it during routine maintenance to ensure ecosystem health and accuracy.

How do I archive outdated AI memories and keep context accurate?

To archive outdated memories, a memory quality review assesses core memories and context for accuracy, then moves outdated learnings to appropriate persistent storage locations.

Does the brain audit cycle require external dependencies or components?

The brain audit cycle requires no external dependencies or components. It relies on internal advanced reasoning to execute patch workflows and synchronize updates directly to the repository.

What is the best way to patch and version bump multiple skills at once?

The best way to patch and version bump multiple skills is using an automated patch and sync workflow that handles version increments, updates descriptions, and synchronizes changes to persistent storage.

Why does my skill content degrade over time and how do I prevent it?

Skill content degrades when routine maintenance is skipped, leading to stale memories and gaps. Prevent this by running on-demand audits and applying patch workflows to ensure durable, up-to-date content.