# dryrun

> dryrun — boringsql-dryrun. Use this tool when you need to analyze and validate PostgreSQL database schemas without exposing sensitive credentials. It provides linting, query validation, migration safety analysis, and foreign key graph exploration capabilities, making it ideal for AI coding assistants, IDEs, and CI systems. By utilizing an offline snapshot, dryrun enables secure and efficient database schema intelligence.

Canonical page: https://skillsregistry.net/skills/boringsql-dryrun  
JSON: https://api.skillsregistry.net/v1/skills/boringsql-dryrun

## Description

Gives AI coding assistants, IDEs, and CI full PostgreSQL schema intelligence from an offline snapshot, enabling linting, query validation, migration safety analysis, and foreign key graph exploration without ever exposing database credentials.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ix0i7g3de5)
- **Repository:** <https://github.com/boringSQL/dryrun>

## 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": "boringsql-dryrun"
    }
  }
}
```

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