Query PostgreSQL databases with read-only safety guarantees
Executes safe, read-only PostgreSQL queries across multiple configured connections with layered write protection.
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Why it matters
Execute SELECT queries against PostgreSQL databases with defense-in-depth read-only protections that prevent accidental writes, deletes, or schema changes while exploring data across multiple configured connections.
Outcomes
What it gets done
List and explore tables, schemas, and database structure across configured connections
Execute validated SELECT queries with automatic row and column limits to prevent memory issues
Match user intent to the right database using natural-language descriptions
Enforce read-only mode through connection settings, query validation, and statement filtering
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-postgres-readonly-queries | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
PostgreSQL Read-Only Query Skill
Executes safe, read-only PostgreSQL queries via scripts/query.py, layering a readonly session, SELECT-only validation, a 30-second timeout, and a 10,000-row cap on top of a connections.json config. Use it when PostgreSQL access must stay strictly read-only. It is not a substitute for a genuinely read-only database role, backups, or production change controls.
What it does
Executes safe, read-only queries against configured PostgreSQL databases, exploring schemas, tables, and data across multiple configured connections with defense-in-depth protection against accidental INSERT/UPDATE/DELETE or DDL.
When to use - and when NOT to
Reach for it any time a query needs to run against a real database but the person or agent running it shouldn't be able to change anything, intentionally or not. Its own protections are explicitly secondary, not primary: they reduce accidental writes but cannot override database-server policy, triggers, extensions, or an over-privileged account, so a database role with genuinely read-only permissions still has to be the real control. Query results can contain personal, confidential, or regulated data - confirm the intended database and avoid exporting or sharing results without explicit authorization. The script is not a replacement for backups, auditing, access reviews, or production change controls.
Inputs and outputs
Requires Python 3.8+ and psycopg2-binary (pip install -r requirements.txt). Setup creates a connections.json file in the skill directory or ~/.config/claude/postgres-connections.json, permissioned to 600 since it holds credentials:
chmod 600 connections.json
with database entries shaped like:
{
"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"
}
]
}
Required fields are name, description, host, database, user, and password; port defaults to 5432 and sslmode defaults to prefer (options: disable, allow, prefer, require, verify-ca, verify-full). Usage runs through scripts/query.py: --list shows configured databases, --db <name> --query "<SQL>" runs a query, --db <name> --tables lists tables, --db <name> --schema shows the schema, and --limit <n> caps result rows. Exit codes are 0 for success and 1 for any error (missing config, failed auth, invalid query, database error).
Integrations
Database selection matches user intent to each connection's description field - questions about users or accounts look for descriptions mentioning users/accounts/customers, orders or sales look for orders/transactions/sales, analytics or metrics look for analytics/metrics/reports, and logs or events look for logs/events/audit; if it's unclear, run --list and ask the user which database to use. Layered safety features: the connection itself runs in PostgreSQL readonly=True mode as the primary protection, query validation only allows SELECT/SHOW/EXPLAIN/WITH statements, multiple statements per query are rejected, SSL mode is configurable for encrypted connections, a 30-second statement timeout is enforced, results are capped at 10,000 rows to prevent out-of-memory errors, columns are capped at 100 characters for readable output, and error messages are sanitized so they never leak passwords. Common troubleshooting: a missing config means creating connections.json in the skill directory; authentication failures mean checking the username/password; connection timeouts mean verifying host/port and firewall/VPN; SSL errors on a local database can be worked around with "sslmode": "disable"; and a permission warning means running chmod 600 connections.json again. The intended workflow: run --list to see available databases, match user intent to a database description, run --tables or --schema to explore structure, then execute the query with an appropriate --limit.
Who it's for
Someone juggling several databases on file at once, where naming the right one by hand every time would get tedious - the description field on each connection entry does that matching automatically, and error messages are scrubbed of credentials before they ever reach the screen.
FAQ
Common questions
Discussion
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