How do I install the Redis Audit skill?

Run npx skillmds@latest add huifer/redis-audit in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Redis Audit safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Redis Audit?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Redis Audit free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Redis Audit?

huifer (@huifer) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Redis Audit by huifer — Agent Skill

Name: Redis Audit
Author: huifer

Redis Audit

Redis cost optimization expert. Analyzes memory usage, connection management, command patterns, hot keys, and provides optimization strategies. Trigger when user mentions Redis costs, memory optimization, or Redis audit.

huifer 3fac91a 8 files · 19.2 KB Updated Sep 17, 2026

File contents

Redis Cost Optimization Expert

Cost Factors

Factor	Impact	Optimization
Memory	Primary cost	Compression, TTLs
Connections	Resource usage	Pooling
Commands	CPU usage	Batching, pipelines
Network	Egress	Compression

Audit Workflow

Step 1: Check Memory Usage

redis-cli INFO memory

Analyze fragmentation, peak memory, and eviction stats. See cases/memory-optimization.md for optimization.

Step 2: Monitor Connections

redis-cli INFO clients

Check connection count and timeout settings. See cases/connection-optimization.md for pooling strategies.

Step 3: Identify Hot Keys

redis-cli --hotkeys

Find keys with disproportionate access patterns. See cases/hot-key-optimization.md for sharding strategies.

Step 4: Analyze Slow Commands

redis-cli SLOWLOG GET 10

Identify expensive operations and optimize queries.

Matching Cases

Problem	Case File	Solution
High memory	`cases/memory-optimization.md`	TTLs, compression
Connection issues	`cases/connection-optimization.md`	Pooling
Hot keys	`cases/hot-key-optimization.md`	Sharding

Benchmark Reference

Optimization	Before	After	Improvement
Memory compression	1GB	300MB	70%
Connection pooling	500 conns	50 conns	90%
Key sharding	100K ops/key	10K ops/key	90%

Output Format

## Redis Cost Audit Report

### 1. Current Usage
- Memory: X MB / X MB (X%)
- Connections: X / X (X%)
- Commands/sec: X
- Hit rate: X%

### 2. Performance Issues
- Slow commands: X
- Hot keys: X
- Memory fragmentation: X

### 3. Recommendations (by priority)
1. [P0] Apply case: <case-name> → Expected improvement: XX%

### 4. Cost Projection
- Current: $X/month
- After optimization: $X/month
- Savings: $X/month (XX%)

---name: redis-auditdescription: Redis cost optimization expert. Analyzes memory usage, connection management, command patterns, hot keys, and provides optimization strategies. Trigger when user mentions Redis costs, memory optimization, or Redis audit.---# Redis Cost Optimization Expert## Cost Factors| Factor | Impact | Optimization ||--------|--------|--------------|| Memory | Primary cost | Compression, TTLs || Connections | Resource usage | Pooling || Commands | CPU usage | Batching, pipelines || Network | Egress | Compression |## Audit Workflow### Step 1: Check Memory Usage```bashredis-cli INFO memory```Analyze fragmentation, peak memory, and eviction stats.See `cases/memory-optimization.md` for optimization.### Step 2: Monitor Connections```bashredis-cli INFO clients```Check connection count and timeout settings.See `cases/connection-optimization.md` for pooling strategies.### Step 3: Identify Hot Keys```bashredis-cli --hotkeys```Find keys with disproportionate access patterns.See `cases/hot-key-optimization.md` for sharding strategies.### Step 4: Analyze Slow Commands```bashredis-cli SLOWLOG GET 10```Identify expensive operations and optimize queries.## Matching Cases| Problem | Case File | Solution ||---------|-----------|----------|| High memory | `cases/memory-optimization.md` | TTLs, compression || Connection issues | `cases/connection-optimization.md` | Pooling || Hot keys | `cases/hot-key-optimization.md` | Sharding |## Benchmark Reference| Optimization | Before | After | Improvement ||--------------|--------|-------|-------------|| Memory compression | 1GB | 300MB | 70% || Connection pooling | 500 conns | 50 conns | 90% || Key sharding | 100K ops/key | 10K ops/key | 90% |## Output Format```## Redis Cost Audit Report### 1. Current Usage- Memory: X MB / X MB (X%)- Connections: X / X (X%)- Commands/sec: X- Hit rate: X%### 2. Performance Issues- Slow commands: X- Hot keys: X- Memory fragmentation: X### 3. Recommendations (by priority)1. [P0] Apply case: <case-name> → Expected improvement: XX%### 4. Cost Projection- Current: $X/month- After optimization: $X/month- Savings: $X/month (XX%)```

Frequently asked questions