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Database Monitoring

Checked
aj-geddes·vlatest·devops·MIT

Helps with database, monitoring as part of automating DevOps pipelines and CI/CD workflows workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aj-geddes/useful-ai-prompts --skill database-monitoring -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aj-geddes

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aj-geddes/useful-ai-prompts at 3f5182cfd7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3f5182cfd7
Manifest
skills/database-monitoring/SKILL.md
Scanned
10 files, 479 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

database-monitoring

What it does

This skill enables AI agents to actively query and analyze database health metrics, allowing them to detect performance bottlenecks or data integrity issues in real-time. It provides the capability to execute diagnostic queries that return specific status indicators for system stability.

When to use it

  • Investigating sudden latency spikes in application response times by correlating them with database load.
  • Performing routine health checks on production environments before scheduled deployments.
  • Diagnosing connection pool exhaustion or lock contention during high-traffic periods.
  • Validating data consistency after complex batch processing jobs complete.

Key capabilities

  • Executes real-time diagnostic queries against database instances.
  • Retrieves current system metrics such as CPU usage, memory consumption, and active connections.
  • Identifies specific error logs or warning states within the database engine.
  • Compiles analysis results into a readable format for immediate operator review.

Example prompts

  • "Check the current connection count and query execution time on the primary production database."
  • "Run a diagnostic scan to identify any active table locks or long-running transactions."
  • "Analyze the latest error logs and summarize any critical warnings related to disk I/O performance."

Tips & gotchas

Ensure the AI agent has appropriate read-only permissions configured before enabling this skill to prevent accidental data modification. For best results, specify the exact database instance name in your prompt if your environment hosts multiple clusters.