database-scout
Explore SQLite and PostgreSQL databases: list tables, inspect schemas (columns/types/constraints), preview data, generate Mermaid ER diagrams, and run safe read-only queries.
Install / Use
npx skills add zebbern/claude-code-guide --skill database-scoutInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Data & AnalyticsSupported Platforms
Our assessment of database-scout
database-scout scores 91/100 on our quality scale, 74th of 340 Data & Analytics skills we index (top 22%).
Its SKILL.md is 4.4 KB long, well organised into 20 sections with 5 code examples: a solid amount of guidance for an agent.
With 4,638 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 2 days ago, so database-scout is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
database-scout compared with similar skills
All 4 of these similar skills score higher than database-scout; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| database-scout (this skill)by zebbern | 91 | 4.6k | 2d ago | SKILL.md |
| claude-memby thedotmack | 100 | 94.8k | today | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 5d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 5d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 7d ago | SKILL.md |
Frequently asked questions
- How do I install database-scout?
- Run
npx skills add zebbern/claude-code-guide --skill database-scout. The install tabs above show the steps for each supported agent. - Which AI agents does database-scout work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is database-scout safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is database-scout still maintained?
- The repository was last updated 2 days ago, so database-scout is actively maintained.
Skill content
View source on GitHubname: database-scout description: "Explore SQLite and PostgreSQL databases: list tables, inspect schemas (columns/types/constraints), preview data, generate Mermaid ER diagrams, and run safe read-only queries. Triggered by requests to explore a database, view table structures, describe tables, generate diagrams, or query data, and by keywords like database exploration, schema, ER diagram, or SQL query." license: MIT
database-scout
Read-only exploration tool for SQLite / PostgreSQL databases — inspect table schemas, preview data, generate ER diagrams, and run safe queries.
Feature Overview
| Feature | Description | |---------|-------------| | List all tables | Show tables and views in the database, with row counts | | Inspect table schema | Column names, types, constraints (PK/FK/NOT NULL), indexes, defaults | | Data preview | View the first N rows of a table | | ER diagram generation | Output Mermaid erDiagram syntax, ready to render | | Safe read-only queries | Only SELECT/WITH/EXPLAIN allowed; write operations are blocked |
Security Mechanisms
- Connection-level read-only: SQLite opens with
?mode=roURI; PostgreSQL usesSET SESSION READ ONLY - SQL whitelist: Only statements starting with SELECT / WITH / EXPLAIN / PRAGMA / SHOW are allowed
- Dangerous keyword blocking: INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, and 30+ other keywords are blocked
- Multi-statement blocking: Semicolon-separated multiple SQL statements are rejected (prevents injection)
- Identifier escaping: Table names are double-quote escaped to prevent SQL injection
Quick Start
# List all tables in a SQLite database
python3 scripts/db_explorer.py --db-path data.db list-tables
# Inspect table schema
python3 scripts/db_explorer.py --db-path data.db describe users
# Preview data (default 20 rows)
python3 scripts/db_explorer.py --db-path data.db preview orders --limit 10
# Generate Mermaid ER diagram
python3 scripts/db_explorer.py --db-path data.db er-diagram
# Run a read-only query
python3 scripts/db_explorer.py --db-path data.db query "SELECT name, age FROM users WHERE age > 18 LIMIT 10"
PostgreSQL
# Connect to PostgreSQL
python3 scripts/db_explorer.py --db-type postgres --dsn "host=localhost dbname=mydb user=reader" list-tables
# Inspect table schema
python3 scripts/db_explorer.py --db-type postgres --dsn "host=localhost dbname=mydb user=reader" describe orders
Detailed Usage
Parameters
| Parameter | Required | Default | Description |
|-----------|----------|---------|-------------|
| --db-type | No | sqlite | Database type: sqlite or postgres |
| --db-path | Yes (for SQLite) | — | Path to the SQLite database file |
| --dsn | Yes (for PostgreSQL) | — | PostgreSQL connection string |
Subcommands
| Command | Description | Example |
|---------|-------------|---------|
| list-tables | List all tables/views | list-tables |
| describe <table> | Show detailed table schema | describe users |
| preview <table> [--limit N / -n N] | Preview the first N rows | preview orders --limit 5 |
| er-diagram | Generate Mermaid ER diagram | er-diagram |
| query "<sql>" | Run a read-only SQL query | query "SELECT count(*) FROM users" |
Output Examples
list-tables
[
{"name": "users", "type": "table", "row_count": 1500},
{"name": "orders", "type": "table", "row_count": 8200},
{"name": "user_stats", "type": "view", "row_count": 1500}
]
describe
{
"table": "orders",
"row_count": 8200,
"columns": [
{"cid": 0, "name": "id", "type": "INTEGER", "notnull": true, "default": null, "primary_key": true},
{"cid": 1, "name": "user_id", "type": "INTEGER", "notnull": true, "default": null, "primary_key": false},
{"cid": 2, "name": "amount", "type": "REAL", "notnull": false, "default": "0.0", "primary_key": false}
],
"foreign_keys": [
{"from": "user_id", "to_table": "users", "to_column": "id"}
],
"indexes": [
{"name": "idx_orders_user_id", "unique": false, "columns": ["user_id"]}
]
}
er-diagram (Mermaid)
erDiagram
users {
INTEGER id PK
TEXT name
TEXT email
INTEGER age
}
orders {
INTEGER id PK
INTEGER user_id FK
REAL amount
TEXT created_at
}
users ||--o{ orders : "user_id"
Dependencies
- Python 3.8+ (
sqlite3is a built-in module) - PostgreSQL support requires:
pip install psycopg2-binary
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
