# pgbot

> pgbot — pymodel-pgbot. Use this tool when you need to monitor and diagnose PostgreSQL database performance issues. pgbot provides in-database observability by reading pg_stat views and generating a health report with findings, deltas, and tuning recommendations, as well as storage-latency diagnostics. It outputs a concise report and exposes data over MCP for further analysis by agents.

Canonical page: https://skillsregistry.net/skills/pymodel-pgbot  
JSON: https://api.skillsregistry.net/v1/skills/pymodel-pgbot

## Description

In-database observability for PostgreSQL: one read-only static binary reads pg_stat views, prints a findings-first health report with deltas, tuning and pg_stat_io storage-latency diagnostics, and exposes it all over MCP for agents.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/PyModel/pgbot)

## 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": "pymodel-pgbot"
    }
  }
}
```

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

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