# sqlproctor

> sqlproctor — debabsah-sqlproctor. Use this tool when you need to verify the accuracy of AI-generated SQL queries against a predefined contract, ensuring data integrity and consistency. It solves problems of query errors and inconsistencies by blocking incorrect queries and providing structured feedback for self-correction. The tool takes in SQL queries and a git-versioned contract as input, and outputs verification results and feedback for improvement.

Canonical page: https://skillsregistry.net/skills/debabsah-sqlproctor  
JSON: https://api.skillsregistry.net/v1/skills/debabsah-sqlproctor

## Description

Enables deterministic semantic verification of agent-generated SQL queries against a git-versioned contract, blocking incorrect queries and returning structured feedback for self-correction.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fzo6nn0g1q)
- **Repository:** <https://github.com/debabsah/sqlproctor>

## 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": "debabsah-sqlproctor"
    }
  }
}
```

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