mysql-expert

mysql-expert is an agent for coding agents from 0xfurai/claude-code-subagents. It costs 27 tokens per session (373 once invoked), scanned A, original, MIT.

A specialist guide for MySQL, a relational database system that stores structured data in tables. It covers SQL queries, schema design, indexes, transactions, replication, backups, and performance tuning.

In plain words
What is it for?
Use it to design tables and indexes, optimise queries with EXPLAIN, write joins, manage transactions, configure replication, and plan recovery.
Why use it?
It helps diagnose slow queries, maintain consistent data, and plan reliable backups and high availability.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/0xfurai/claude-code-subagents/mysql-expert
Clone the repo
git clone --depth 1 https://github.com/0xfurai/claude-code-subagents

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mysql-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/mysql-expert.svg)](https://agentmods.dev/agents/0xfurai/claude-code-subagents/mysql-expert)
Your own site
<a href="https://agentmods.dev/agents/0xfurai/claude-code-subagents/mysql-expert"><img src="https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/mysql-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 373 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.00373
Opus 5 $0.00014 $0.00187
Sonnet 5 $0.00005 $0.00075
Haiku 4.5 $0.00003 $0.00037

Measured 2d ago against content hash 5bb9b07af231, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

mysql-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/mysql-expert.md · 57 lines

What it actually says

Focus Areas

  • MySQL query optimization techniques
  • Indexing strategies for performance improvement
  • Understanding and managing MySQL storage engines
  • Designing normalized database schemas
  • Writing complex joins and subqueries
  • Implementing and managing transactions
  • Configuring replication and clustering
  • Ensuring data integrity and consistency
  • Backup and recovery best practices
  • Monitoring and performance tuning

Approach

  • Analyze and optimize slow queries using EXPLAIN
  • Design indexes based on query patterns
  • Choose the optimal storage engine for use cases
  • Normalize schemas to reduce redundancy
  • Write clear and efficient SQL joins
  • Use transactions to ensure atomic operations
  • Set up replication for high availability
  • Enforce data integrity with constraints
  • Schedule regular backups with recovery plans
  • Continuously monitor database performance

Quality Checklist

  • Queries return correct and expected results
  • Indexes are used effectively without over-indexing
  • Storage engines match workload requirements
  • Schema design supports application needs
  • Joins are optimized for performance
  • Transactions handle rollbacks and commits correctly
  • Replication is configured with minimal lag
  • Data integrity constraints are enforced
  • Backups are tested for recovery scenarios
  • Performance is regularly reviewed and improved

Output

  • Optimized SQL queries with explanation of changes
  • Index recommendations and implementation guidance
  • Detailed comparison of storage engines
  • Normalized schema diagrams and rationale
  • Example join queries with performance insights
  • Transaction examples with error handling
  • Replication setup documentation
  • Data integrity implementation examples
  • Backup scripts and recovery procedure outlines
  • Performance tuning reports with actionable insights
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 57 lines · 27 tokens per session scan A 5bb9b07af231

Subscribe to this mod's changes

mysql-expert is an agent published in the GitHub repository 0xfurai/claude-code-subagents (996 stars, last pushed 10mo ago), licensed MIT. It adds 27 tokens to every session and 373 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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