memory-audit

Detect contradictions and stale data in stored memories.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/pokibao/claude-skills-ai-quality --skill memory-audit-pokibao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory-audit
Source: https://github.com/pokibao/claude-skills-ai-quality/tree/main/memory-audit
Command: npx skills add https://github.com/pokibao/claude-skills-ai-quality --skill memory-audit-pokibao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill detects contradictions and outdated information in stored memories, enabling continuous knowledge refinement to maintain accuracy.

Core Features & Use Cases

  • Memory Consistency Checks: Search and verify stored memories for contradictions and outdated entries.
  • Automatic Pruning: Remove stale or invalid memories based on recency and confidence criteria.
  • Knowledge Refinement: Extract high-level rules from scattered memories to improve core assumptions.
  • Use Case: During idle time, the system automatically audits memories to prevent conflicting information in ongoing projects.

Quick Start

Use the memory-audit skill to scan stored memories for contradictions and outdated entries.

Frequently Asked Questions about memory-audit

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

FAQPage Schema
How do I detect contradictions in my AI knowledge base?

Detect contradictions in a knowledge base by applying pattern search and conflict arbitration to stored memories. This process identifies conflicting information and outdated entries to maintain data consistency and integrity for AI context management.

What is the best way to automate memory analysis and stale data removal?

Automate memory analysis by running scheduled audits that scan stored memories for contradictions and outdated entries. Automatic pruning then removes stale or invalid data based on recency and confidence criteria to ensure information accuracy.

How does knowledge refinement work for AI context management?

Knowledge refinement for AI context management works by extracting high-level rules from scattered memories. This improves core assumptions and continuously refines data quality during idle system time.

Can I use automated memory audits for ongoing projects?

Automated memory audits are highly effective for ongoing projects. The system performs memory consistency checks during idle time to prevent conflicting information from accumulating and disrupting project continuity.

Why does my AI assistant provide conflicting information from stored memories?

AI assistants provide conflicting information when stored memories contain stale data and unresolved contradictions. Applying conflict arbitration and automatic pruning resolves these inconsistencies and restores information integrity.

Do I need any dependencies to run memory consistency checks?

No external dependencies are required to run memory consistency checks. The skill operates independently using its internal scripts to apply pattern search and conflict arbitration directly to your stored data.