How do I install the Supabase Audit skill?

Run npx skillmds@latest add huifer/supabase-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 Supabase 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 Supabase 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 Supabase Audit free to use?

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

Who published Supabase Audit?

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

Supabase Audit by huifer — Agent Skill

Name: Supabase Audit
Author: huifer

Supabase Audit

Supabase cost optimization and audit expert. Monitors database performance, storage, bandwidth, Edge Functions, Auth MAU, and provides optimization recommendations. Trigger when user mentions Supabase costs, database optimization, or Supabase audit.

huifer 1d7e5ad 13 files · 28.9 KB Updated Sep 17, 2026

File contents

Supabase Cost Optimization Expert

Cost Components

Component	Free Tier	Billing Metric
Database	500MB	Storage size
Storage	1GB	Storage + Egress
Auth	50,000 MAU	Monthly Active Users
Edge Functions	500K invocations	Invocations
Realtime	200 concurrent	Connections
Bandwidth	5GB	Egress

Common Anti-Patterns

Anti-Pattern	Problem	Reference
Slow queries	High CPU time	`references/slow-queries.md`
Missing indexes	Sequential scans	`references/index-optimization.md`
Missing FK indexes	Slow joins	`references/missing-foreign-key-index.md`
Table bloat	Dead tuples	`references/table-bloat.md`
Connection issues	Too many connections	`references/connection-pooling.md`
Inefficient joins	Cartesian products	`references/inefficient-join.md`
Correlated subqueries	N+1 pattern	`references/slow-subquery.md`
Deep pagination	OFFSET performance	`references/inefficient-pagination.md`

Audit Workflow

Step 1: Check Database Size

SELECT pg_database_size(current_database());
SELECT pg_size_pretty(pg_database_size(current_database()));

Step 2: Identify Expensive Queries

Use pg_stat_statements to find slow queries. See references/slow-queries.md for detailed analysis.

Step 3: Check Index Usage

Analyze sequential scans vs index scans. See references/index-optimization.md for optimization strategies.

Step 4: Monitor Table Bloat

Check dead tuple ratio and vacuum status. See references/table-bloat.md for cleanup procedures.

Step 5: Verify Connection Pooling

Ensure proper connection management. See references/connection-pooling.md for configuration.

Benchmark Reference

Optimization	Before	After	Improvement
Add index	500ms	5ms	99%
Clean bloat	500MB	300MB	40%
Use pooling	60 conn	200+ conn	233%
Fix join	5000ms	50ms	99%
Cursor pagination	100ms	5ms	95%

Output Format

## Supabase Cost Audit Report

### 1. Current Usage
- Database size: X MB / 500 MB (X%)
- Storage: X GB / 1 GB (X%)
- Bandwidth: X GB / 5 GB (X%)
- Auth MAU: X / 50,000 (X%)

### 2. Anti-Patterns Detected
| Query | Anti-Pattern | Reference | Fix |
|-------|--------------|-----------|-----|
| ... | ... | ... | ... |

### 3. Recommendations (by priority)
1. [P0] Fix: <anti-pattern> → Expected improvement: XX%
   Reference: references/<file>.md

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

---name: supabase-auditdescription: Supabase cost optimization and audit expert. Monitors database performance, storage, bandwidth, Edge Functions, Auth MAU, and provides optimization recommendations. Trigger when user mentions Supabase costs, database optimization, or Supabase audit.---# Supabase Cost Optimization Expert## Cost Components| Component | Free Tier | Billing Metric ||-----------|-----------|----------------|| Database | 500MB | Storage size || Storage | 1GB | Storage + Egress || Auth | 50,000 MAU | Monthly Active Users || Edge Functions | 500K invocations | Invocations || Realtime | 200 concurrent | Connections || Bandwidth | 5GB | Egress |## Common Anti-Patterns| Anti-Pattern | Problem | Reference ||--------------|---------|-----------|| Slow queries | High CPU time | `references/slow-queries.md` || Missing indexes | Sequential scans | `references/index-optimization.md` || Missing FK indexes | Slow joins | `references/missing-foreign-key-index.md` || Table bloat | Dead tuples | `references/table-bloat.md` || Connection issues | Too many connections | `references/connection-pooling.md` || Inefficient joins | Cartesian products | `references/inefficient-join.md` || Correlated subqueries | N+1 pattern | `references/slow-subquery.md` || Deep pagination | OFFSET performance | `references/inefficient-pagination.md` |## Audit Workflow### Step 1: Check Database Size```sqlSELECT pg_database_size(current_database());SELECT pg_size_pretty(pg_database_size(current_database()));```### Step 2: Identify Expensive QueriesUse `pg_stat_statements` to find slow queries.See `references/slow-queries.md` for detailed analysis.### Step 3: Check Index UsageAnalyze sequential scans vs index scans.See `references/index-optimization.md` for optimization strategies.### Step 4: Monitor Table BloatCheck dead tuple ratio and vacuum status.See `references/table-bloat.md` for cleanup procedures.### Step 5: Verify Connection PoolingEnsure proper connection management.See `references/connection-pooling.md` for configuration.## Benchmark Reference| Optimization | Before | After | Improvement ||--------------|--------|-------|-------------|| Add index | 500ms | 5ms | 99% || Clean bloat | 500MB | 300MB | 40% || Use pooling | 60 conn | 200+ conn | 233% || Fix join | 5000ms | 50ms | 99% || Cursor pagination | 100ms | 5ms | 95% |## Output Format```## Supabase Cost Audit Report### 1. Current Usage- Database size: X MB / 500 MB (X%)- Storage: X GB / 1 GB (X%)- Bandwidth: X GB / 5 GB (X%)- Auth MAU: X / 50,000 (X%)### 2. Anti-Patterns Detected| Query | Anti-Pattern | Reference | Fix ||-------|--------------|-----------|-----|| ... | ... | ... | ... |### 3. Recommendations (by priority)1. [P0] Fix: <anti-pattern> → Expected improvement: XX% Reference: references/<file>.md### 4. Cost Projection- Current: $X/month- After optimization: $X/month- Savings: $X/month (XX%)```

Frequently asked questions