# sql-review-agent

> Use this tool when you need to optimize BigQuery SQL queries for better performance and cost efficiency. It analyzes queries to identify potential issues, provides cost estimates, and suggests rewrites, taking SQL queries as input and returning review results and recommendations via an MCP interface. Ideal for use cases where query performance and cost optimization are crucial, such as large-scale data analysis and reporting.

Canonical page: https://skillsregistry.net/skills/aravindhraja123-sql-review-agent  
JSON: https://api.skillsregistry.net/v1/skills/aravindhraja123-sql-review-agent

## Description

Enables reviewing BigQuery SQL queries for performance issues, cost estimation, and suggested rewrites via an MCP interface.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dhlfii1fum)
- **Repository:** <https://github.com/ARAVINDHRAJA123/sql-review-agent>

## 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": "aravindhraja123-sql-review-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aravindhraja123-sql-review-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aravindhraja123-sql-review-agent/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