# scherlok

> Use this tool when you need to monitor data quality in your warehouse with minimal setup, as it automatically profiles and detects anomalies in databases like Postgres, BigQuery, and Snowflake, providing read-only insights without exposing sensitive connection details. It solves problems related to data reliability and consistency, integrating with CI pipelines to gate deployments. Ideal for use cases requiring continuous data validation and quality assurance in various database environments.

Canonical page: https://skillsregistry.net/skills/rbmuller-scherlok  
JSON: https://api.skillsregistry.net/v1/skills/rbmuller-scherlok

## Description

Zero-config data quality monitoring as MCP tools. Profiles a warehouse (Postgres, BigQuery, Snowflake, MySQL, DuckDB), detects anomalies, and gates CI — read-only with the connection resolved server-side, never via the model.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/konqclzvxw)
- **Repository:** <https://github.com/rbmuller/scherlok>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rbmuller-scherlok"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rbmuller-scherlok` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rbmuller-scherlok/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt