What is pg-performance-baseline?

A tool for recording a detailed snapshot of PostgreSQL database health and performance. PostgreSQL is a database system used to store and query application data.

Use it to capture health checks, query patterns, table and index statistics, configuration values, and disk activity before a migration or performance change.

It creates a before-and-after reference when changing database settings, schemas, indexes, or infrastructure.

pg-performance-baseline — Skill for Claude Code and Codex by isdaniel

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add isdaniel/pgtuner_mcp --skill pg-performance-baseline

Clone the repo

git clone --depth 1 https://github.com/isdaniel/pgtuner_mcp

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/isdaniel/pgtuner_mcp/pg-performance-baseline/github.svg)](https://agentmods.dev/skills/isdaniel/pgtuner_mcp/pg-performance-baseline)

Your own site

<a href="https://agentmods.dev/skills/isdaniel/pgtuner_mcp/pg-performance-baseline"><img src="https://agentmods.dev/badge/skills/isdaniel/pgtuner_mcp/pg-performance-baseline/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/isdaniel/pgtuner_mcp/pg-performance-baseline"><img src="https://agentmods.dev/badge/skills/isdaniel/pgtuner_mcp/pg-performance-baseline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,983 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00046	$0.02983
Opus 5.5	$0.00018	$0.01193
Sonnet 5.5	$0.00009	$0.00597
Haiku 4.5	$0.00005	$0.00298

Measured 1mo ago against content hash 4546c6faa1bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pg-performance-baseline scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/pg-performance-baseline/SKILL.md · 429 lines

How it starts

The opening of the file, as written. The whole thing — 429 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PostgreSQL Performance Baseline

This skill guides creation of a comprehensive performance baseline report for a PostgreSQL database, intended for comparison before and after making configuration changes, schema modifications, or infrastructure upgrades.

When to Use This Skill

Use this skill when the user:

Is about to make database configuration changes and wants a "before" snapshot
Wants to document current database performance for reference
Needs to compare performance across time periods
Asks "how is my database performing?" or "give me a performance report"
Is planning a migration and needs to capture current metrics
Wants to establish SLAs or performance targets based on current state

MCP Resources Available

pgtuner://docs/tools -- Tool reference for parameter details
pgtuner://docs/prompts -- Available prompt templates
pgtuner://settings/{category} -- Settings by category (use for structured capture: memory, checkpoint, wal, autovacuum, connections)
pgtuner://health/{check_type} -- Targeted health metrics by type
pgtuner://table/{schema}/{table_name}/stats -- Quick per-table stats

This skill corresponds to the performance_baseline MCP Prompt. If the user triggers that prompt, follow this skill's workflow.

Prerequisites

The pgtuner-mcp server must be connected with a valid DATABASE_URI
Required: pg_stat_statements extension (for query workload data)
Recommended: pgstattuple extension (for bloat measurements)
Recommended: Sufficient uptime since last pg_stat_statements reset for meaningful workload data

Agent Decision Logic

Before starting:
  |
  +--> Is this a "before" baseline (pre-change)?
  |    --> Collect all 8 steps, save results systematically
  |    --> Tell user: "Baseline collected. After making changes, ask me to
  |        collect another baseline and I will generate a comparison."
  |
  +--> Is this an "after" baseline (post-change)?
  |    --> Collect all 8 steps with identical parameters
  |    --> Generate the Comparison Template with before/after diff
  |
  +--> Is this a standalone performance report?
       --> Collect all 8 steps
       --> Include recommendations inline (not just metrics)

Read the full file on GitHub · 429 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

1mo ago First seen · 429 lines · 46 tokens per session scan A 4546c6faa1bc

Subscribe to this mod's changes

pg-performance-baseline is a skill published in the GitHub repository isdaniel/pgtuner_mcp (30 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 46 tokens to every session and 2,983 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Analytics and metrics Databases PostgreSQL ai mcp-server python3

amazon aurora dsql

Deprecated compatibility redirect for Aurora DSQL guidance. Use when a request concerns DSQL, Aurora DSQL, distributed SQL, DSQL schemas, migrations, queries, authentication, performance, or application development.

awslabs/mcp · 46 tokens

db-sculptor

Design database schemas with Prisma/Drizzle, PostgreSQL index strategy (B-tree, GIN, GiST, BRIN, Hash), query optimization (EXPLAIN ANALYZE), migration safety (expand/contract, zero-downtime), and sharding/partitioning. Use when user asks to design schema, create migrations, optimize slow queries, add indexes, choose…

EliasOulkadi/shokunin · 123 tokens

neon-postgres

Guides and best practices for working with Neon Serverless Postgres. Covers getting started, local development with Neon, choosing a connection method, Neon features, authentication (@neondatabase/auth), PostgREST-style data API (@neondatabase/neon-js), Neon CLI, and Neon's Platform API/SDKs. Use for any Neon-related…

EliasOulkadi/shokunin · 76 tokens

db-admin

PostgreSQL database administration — backup/restore (pgdump, PITR, WAL archiving), health monitoring (connections, bloat, cache hit ratio, dead tuples), connection pooling (PgBouncer), replication (streaming, logical), vacuum/autovacuum tuning, and scheduled backups with retention. Use when user asks to backup a…

EliasOulkadi/shokunin · 122 tokens

exasol-table-design

Exasol table design for performance: DISTRIBUTE BY, PARTITION BY, zone maps, data types, replication, surrogate keys, and CREATE TABLE syntax.

exasol/mcp-server · 36 tokens

exasol-system-tables

Exasol system and statistics tables: what they contain, visibility prefixes (EXAALL, EXADBA, EXAUSER), and when to query them directly vs using MCP tools.

exasol/mcp-server · 47 tokens