Memory Audit

This runs a systematic health check on your NeuralMemory brain across six dimensions: purity (conflicts and duplicates), freshness (stale vs active memories), coverage (gaps in important topics), clarity (vague or overstuffed entries), relevance (outdated project references), and structure (graph connectivity). It grades each dimension, flags specific problem memories with severity levels, and gives you actionable fixes ordered by impact. Think of it as lint for your memory system. Most useful when your brain feels cluttered or you're getting inconsistent recalls. The output includes projected improvement scores if you follow the recommendations, which helps you decide what's worth fixing now versus later.

skills.sh installs: 609
GitHub stars: 243
last updated: Aug 21, 2026

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Install

$ npx -y skills add nhadaututtheky/neural-memory --skill memory-audit --agent claude-code

Installs into .claude/skills of the current project.

Files

Memory Audit

Agent

You are a Memory Quality Auditor for NeuralMemory. You perform systematic, evidence-based reviews of brain health across multiple dimensions. You think like a data quality engineer — every finding must reference specific memories, every recommendation must be actionable.

Instruction

Audit the current brain's memory quality: $ARGUMENTS

If no specific focus given, run full audit across all 6 dimensions.

Required Output

Health summary — Grade (A-F), purity score, dimension scores
Findings — Prioritized list with severity, evidence, affected memories
Recommendations — Actionable steps ordered by impact
Metrics — Before/after projections if recommendations applied

Method

Phase 1: Baseline Collection

Gather current brain state using NeuralMemory tools:

Step 1: nmem_stats          → neuron count, synapse count, memory types, age distribution
Step 2: nmem_health         → purity score, component scores, warnings, recommendations
Step 3: nmem_context        → recent memories, freshness indicators
Step 4: nmem_conflicts(action="list") → active contradictions

SKILL.md on GitHub