AGENT SKILL

mysql

Execute read-only SQL queries against multiple MySQL databases. Use when: (1) querying MySQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.

License 许可
Apache-2.0
最近更新
2026-05-29
Stars
★ 1
Forks
0

01 前言 Front Matter

name
mysql
license
Apache-2.0
metadata
{ "author": "sanjay3290", "version": "1.0" }
description
Execute read-only SQL queries against multiple MySQL databases. Use when: (1) querying MySQL databases, (2) exploring database schemas/tables, (3) running SELECT queries for data analysis, (4) checking database contents. Supports multiple database connections with descriptions for intelligent auto-selection. Blocks all write operations (INSERT, UPDATE, DELETE, DROP, etc.) for safety.

02 资源文件 4

03 SKILL.md 正文

MySQL Read-Only Query Skill

Execute safe, read-only queries against configured MySQL databases.

Requirements

  • Python 3.8+
  • mysql-connector-python: pip install -r requirements.txt

Setup

Create connections.json in the skill directory or ~/.config/claude/mysql-connections.json.

Security: Set file permissions to 600 since it contains credentials:

chmod 600 connections.json
{
  "databases": [
    {
      "name": "production",
      "description": "Main app database - users, orders, transactions",
      "host": "db.example.com",
      "port": 3306,
      "database": "app_prod",
      "user": "readonly_user",
      "password": "your-password",
      "ssl_disabled": false
    }
  ]
}

Config Fields

Field Required Description
name Yes Identifier for the database (case-insensitive)
description Yes What data this database contains (used for auto-selection)
host Yes Database hostname
port No Port number (default: 3306)
database Yes Database name
user Yes Username
password Yes Password
ssl_disabled No Set to true to disable SSL (default: false)
ssl_ca No Path to CA certificate file
ssl_cert No Path to client certificate file
ssl_key No Path to client private key file

Usage

List configured databases

python3 scripts/query.py --list

Query a database

python3 scripts/query.py --db production --query "SELECT * FROM users LIMIT 10"

List tables

python3 scripts/query.py --db production --tables

Show schema

python3 scripts/query.py --db production --schema

Limit results

python3 scripts/query.py --db production --query "SELECT * FROM orders" --limit 100

Database Selection

Match user intent to database description:

User asks about Look for description containing
users, accounts users, accounts, customers
orders, sales orders, transactions, sales
analytics, metrics analytics, metrics, reports
logs, events logs, events, audit

If unclear, run --list and ask user which database.

Safety Features

  • Read-only session: Connection uses MySQL SET SESSION TRANSACTION READ ONLY (primary protection)
  • Query validation: Only SELECT, SHOW, DESCRIBE, EXPLAIN, WITH queries allowed
  • Single statement: Multiple statements per query rejected
  • SSL support: Configurable SSL with CA, client cert, and key support
  • Query timeout: 30-second max_execution_time enforced (MySQL 5.7.8+)
  • Memory protection: Max 10,000 rows per query to prevent OOM
  • Column width cap: 100 char max per column for readable output
  • Credential sanitization: Error messages don't leak passwords

Troubleshooting

Error Solution
Config not found Create connections.json in skill directory
Authentication failed Check username/password in config
Connection timeout Verify host/port, check firewall/VPN
SSL error Try "ssl_disabled": true for local databases
Permission warning Run chmod 600 connections.json
max_execution_time not supported Upgrade to MySQL 5.7.8+ or MariaDB 10.1.1+

Exit Codes

  • 0: Success
  • 1: Error (config missing, auth failed, invalid query, database error)

Workflow

  1. Run --list to show available databases
  2. Match user intent to database description
  3. Run --tables or --schema to explore structure
  4. Execute query with appropriate LIMIT

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