sherlock

分类: 数据库与数据存储 | 上传者: michaelbromley | 下载: 0 | 版本: v1.0（最新）
Allows read-only access to SQL databases and Redis for querying and analysis using natural language
更新日志: Source: GitHub https://github.com/michaelbromley/sherlock
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SKILL.md

---
name: sherlock
description: Allows read-only access to SQL databases and Redis for querying and analysis using natural language
allowed-tools:
   - Bash(~/.claude/skills/sherlock/sherlock:*)
---

# Sherlock

Read-only database access for SQL and Redis. Binary: `~/.claude/skills/sherlock/sherlock`

## Ad Hoc Connections (`--url`)

Use `--url` (`-u`) to connect directly via a database URL without any config file setup. This is ideal when a project has a `DATABASE_URL` in its `.env` file.

```bash
sherlock -u "postgres://user:pass@localhost:5432/mydb" tables
sherlock -u "mysql://user:pass@localhost:3306/mydb" query "SELECT 1"
sherlock -u "redis://localhost:6379" info
```

- `--url` and `-c` are mutually exclusive — use one or the other
- Database type is auto-detected from the URL prefix (`postgres://`, `mysql://`, `sqlite://`, `redis://`)
- Schema caching and introspection work normally (cached under a synthetic name derived from the URL)
- Query logging is disabled for ad hoc connections

**When to use `--url` vs `-c`:** Use `--url` for quick one-off access, especially when the project already has a `DATABASE_URL`. Use `-c` for repeated access to the same database with config-managed credentials.

## SQL Commands

All SQL commands require `-c <connection>` or `-u <url>`. Output is JSON by default, use `-f markdown` for tables.

```bash
sherlock connections                    # List available connections
sherlock -c <conn> tables               # List tables
sherlock -c <conn> describe <table>     # Table schema
sherlock -c <conn> introspect           # Full schema (cached)
sherlock -c <conn> introspect --refresh # Refresh cached schema
sherlock -c <conn> query "SELECT ..."   # Execute read-only query
sherlock -c <conn> sample <table> -n 10 # Random sample rows
sherlock -c <conn> stats <table>        # Data profiling (nulls, distinct counts)
sherlock -c <conn> indexes <table>      # Table indexes
sherlock -c <conn> fk <table>           # Foreign key relationships
```

## Redis Commands

All Redis commands require `-c <connection>` pointing to a Redis connection.

```bash
sherlock -c <conn> info                 # Server info, memory, keyspace
sherlock -c <conn> info --section memory # Specific INFO section
sherlock -c <conn> keys "user:*"        # Scan for keys matching pattern
sherlock -c <conn> keys --limit 50      # Limit number of results
sherlock -c <conn> get <key>            # Get value (auto-detects type)
sherlock -c <conn> get <key> --limit 50 # Limit items for lists/sets/zsets
sherlock -c <conn> inspect <key>        # Key metadata (type, TTL, memory, encoding)
sherlock -c <conn> slowlog              # Recent slow queries
sherlock -c <conn> slowlog -n 20        # Last 20 slow log entries
sherlock -c <conn> command GET mykey    # Execute any read-only Redis command
```

## Constraints

- **Read-only**: SQL allows SELECT, SHOW, DESCRIBE, EXPLAIN, WITH only. Redis allows read commands only (GET, HGETALL, SCAN, etc.) — mutations (SET, DEL, HSET, etc.) are blocked.
- **Connection required**: Always specify `-c <connection>` or `-u <url>` (no default)
- **Type-aware**: SQL commands only work with SQL connections, Redis commands only work with Redis connections
- **Quoting**: PostgreSQL/SQLite use `"identifier"`, MySQL uses `` `identifier` ``

## SQL Workflow

1. Run `connections` to see available databases
2. Use `tables` or `introspect` to understand schema (introspect is cached per-connection)
3. Use `fk` to understand table relationships before writing JOINs
4. Use `sample` to see real data examples before writing queries
5. Write SQL based on user's question and schema
6. Execute with `query`, present results clearly

## Redis Workflow

1. Run `connections` to see available connections
2. Use `info` to understand the Redis instance (version, memory, keyspace)
3. Use `keys "pattern:*"` to find keys of interest
4. Use `get <key>` to retrieve values (auto-detects string/hash/list/set/zset)
5. Use `inspect <key>` for metadata (TTL, memory usage, encoding)
6. Use `command` for any other read-only operation

## Tips

- Always use LIMIT to avoid large result sets
- Use `stats` for SQL data profiling (row counts, null counts, distinct values)
- Use `-f markdown` for human-readable table output
- For Redis, use `keys` with specific patterns rather than `*` on large databases
- Use `--no-types` with `keys` for faster scanning when type info isn't needed
- Config: `~/.claude/skills/sherlock/config.json`
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sherlock

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