postgres
Execute read-only SQL queries on multiple PostgreSQL databases. An AI Agent Skill to enhance work efficiency and automation.
npx skills add sanjay3290/ai-skills --skill postgresBefore / After Comparison
1 组AI agents were unable to directly query PostgreSQL databases, leading to difficulties in data retrieval. This required manual intervention or complex interfaces, resulting in low efficiency and limiting data analysis capabilities.
The Postgres skill enables AI agents to execute read-only SQL queries. This allows for quick retrieval of necessary data, supporting data analysis and report generation, thereby enhancing data utilization efficiency and decision-making speed.
description SKILL.md
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." license: Apache-2.0 metadata: author: sanjay3290 version: "1.0"
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=Truemode (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
- Run
--listto show available databases - Match user intent to database description
- Run
--tablesor--schemato explore structure - Execute query with appropriate LIMIT
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