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Monitoring Setup

Listed
jmsktm·vlatest·devops

Helps with monitoring, setup and configuration 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 jmsktm/claude-settings --skill monitoring-setup -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

jmsktm

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: api.stripe.com.

    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.

    Hosts contacted

    api.stripe.comundeclared

    What it found

    • skills/monitoring-setup/SKILL.md:94contacts api.stripe.com
      const response = await fetch('https://api.stripe.com/v1/health', {

  • 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 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 jmsktm/claude-settings at c113b0d7e1.

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

Commit
c113b0d7e1
Manifest
skills/monitoring-setup/SKILL.md
Scanned
1 file, 633 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

What it does

This skill, jmsktm-monitoring-setup, automates the configuration of system and application monitoring. It allows you to define metrics to track, configure alerting thresholds, and integrate with various monitoring platforms. This ensures proactive identification and resolution of potential issues before they impact users or business operations.

When to use it

  • Setting up new infrastructure: Quickly establish baseline monitoring for newly deployed servers or applications.
  • Troubleshooting performance bottlenecks: Identify resource constraints or inefficient code impacting application speed.
  • Proactive issue detection: Configure alerts based on key metrics to receive notifications before problems escalate.
  • Automating compliance checks: Ensure systems adhere to predefined performance and availability standards.

Key capabilities

  • Metric definition
  • Alert threshold configuration
  • Integration with monitoring platforms

Example prompts

  • "Set up monitoring for CPU usage on server web-01."
  • "Configure an alert if memory utilization exceeds 80%."
  • "Integrate the metrics with Datadog."

Tips & gotchas

This skill requires familiarity with your target monitoring platform and its API. Ensure you have appropriate credentials configured for the AI agent to interact with the chosen monitoring system.