What is database-monitoring?

A set of practices for checking database health and performance using measurements such as connections, query duration, and resource use. It also covers alerts and troubleshooting.

It helps establish performance baselines, monitor queries and capacity, configure alerts, and investigate database incidents.

It helps reveal database problems before they cause larger application issues and provides evidence when investigating slow or unhealthy systems.

database-monitoring — Skill for Claude Code and Codex by aj-geddes

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 aj-geddes/useful-ai-prompts --skill database-monitoring

Clone the repo

git clone --depth 1 https://github.com/aj-geddes/useful-ai-prompts

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/aj-geddes/useful-ai-prompts/database-monitoring/github.svg)](https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/database-monitoring)

Your own site

<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/database-monitoring"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/database-monitoring/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/aj-geddes/useful-ai-prompts/database-monitoring"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/database-monitoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 510 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. Third-party audits

Socket pass 16 Sept 2026
Snyk pass 16 Sept 2026

How audits are shown

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	$0.00024	$0.00510
Opus 5.5	$0.00010	$0.00204
Sonnet 5.5	$0.00005	$0.00102
Haiku 4.5	$0.00002	$0.00051

Measured 2mo ago against content hash ceaa9fc05f12, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

database-monitoring 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate-schema.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/database-monitoring/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Implement comprehensive database monitoring for performance analysis, health checks, and proactive alerting. Covers metrics collection, analysis, and troubleshooting strategies.

When to Use

Performance baseline establishment
Real-time health monitoring
Capacity planning
Query performance analysis
Resource utilization tracking
Alerting rule configuration
Incident response and troubleshooting

Quick Start

Minimal working example:

-- View current connections
SELECT
  pid,
  usename,
  application_name,
  client_addr,
  state,
  query_start,
  state_change
FROM pg_stat_activity
WHERE state != 'idle'
ORDER BY query_start DESC;

-- Count connections per database
SELECT
  datname,
  COUNT(*) as connection_count,
  MAX(EXTRACT(EPOCH FROM (NOW() - query_start))) as max_query_duration_sec
FROM pg_stat_activity
GROUP BY datname;

-- Find idle transactions
SELECT
  pid,
  usename,
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide	Contents
Connection Monitoring	Connection Monitoring
Query Performance Monitoring	Query Performance Monitoring
Table & Index Monitoring	Table & Index Monitoring
Performance Schema	Performance Schema
InnoDB Monitoring	InnoDB Monitoring
PostgreSQL Monitoring Setup	PostgreSQL Monitoring Setup
Automated Monitoring Dashboard	Automated Monitoring Dashboard

Best Practices

✅ DO

Read the full file on GitHub · 93 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

2mo ago First seen · 93 lines · 24 tokens per session scan A ceaa9fc05f12

Subscribe to this mod's changes

database-monitoring is a skill published in the GitHub repository aj-geddes/useful-ai-prompts (376 stars, last pushed 8mo ago), licensed MIT. It adds 24 tokens to every session and 510 once invoked, about $0.0001 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 2026-09-03.

Analytics and metrics Databases

database-monitoring next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
database-monitoringaj-geddes/useful-ai-prompts	Skill	376	8mo ago	MIT	A	24	Claude Code, Codex
create-prprisma/orm	Skill	48k	yesterday	Apache-2.0	A	48	Claude Code, Codex
schema-explorationlangchain-ai/deepagents	Skill	31k	yesterday	MIT	A	57	Claude Code, Codex
atlas-mssqlariga/atlas	Skill	8.8k	yesterday	Apache-2.0	A	163	Claude Code
ha-data-storesshiwenwen/hope-agent	Skill	1.9k	yesterday	MIT	A	115	Claude Code, Codex
nornicdb-cypher-queriesorneryd/NornicDB	Skill	923	yesterday	MIT	A	79	Claude Code, Codex
volcengine-rds-postgresqlbytedance/agentkit-samples	Skill	484	today	Apache-2.0	A	63	Claude Code, Codex

database-monitoring