Agent Skills: PostgreSQL Read-Only Query Skill

Execute read-only SQL queries against multiple PostgreSQL databases. Use when: (1) querying PostgreSQL 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.

UncategorizedID: sanjay3290/ai-skills/postgres

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skills/postgres/SKILL.md

Skill Metadata

Name
postgres
Description
"Execute read-only SQL queries against multiple PostgreSQL databases. Use when: (1) querying PostgreSQL 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."

PostgreSQL Read-Only Query Skill

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

Requirements

  • Python 3.8+
  • psycopg2-binary: pip install -r requirements.txt

Setup

Create connections.json in the skill directory or ~/.config/claude/postgres-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": 5432,
      "database": "app_prod",
      "user": "readonly_user",
      "password": "your-password",
      "sslmode": "require"
    }
  ]
}

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: 5432) | | database | Yes | Database name | | user | Yes | Username | | password | Yes | Password | | sslmode | No | SSL mode: disable, allow, prefer (default), require, verify-ca, verify-full |

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 PostgreSQL readonly=True mode (primary protection)
  • Query validation: Only SELECT, SHOW, EXPLAIN, WITH queries allowed
  • Single statement: Multiple statements per query rejected
  • SSL support: Configurable SSL mode for encrypted connections
  • Query timeout: 30-second statement timeout enforced
  • 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 "sslmode": "disable" for local databases | | Permission warning | Run chmod 600 connections.json |

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