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Observability Monitoring

Listed
manutej·vlatest·devops

Proactively monitors infrastructure health & application performance using custom metrics and alerts via manutej's observability platform.

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 manutej/luxor-claude-marketplace --skill observability-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

manutej

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: dl.grafana.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

    github.comsource hostdl.grafana.comundeclared

    What it found

    • plugins/luxor-devops-suite/skills/observability-monitoring/README.md:134contacts dl.grafana.com
      wget https://dl.grafana.com/oss/release/grafana-10.0.0.linux-amd64.tar.gz

  • 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 manutej/luxor-claude-marketplace at 1861cc9720.

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

Commit
1861cc9720
Manifest
plugins/luxor-devops-suite/skills/observability-monitoring/SKILL.md
Scanned
3 files, 4,102 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

observability-monitoring

What it does

This skill enables AI agents to discover, install, and manage observability tools within DevOps environments. It facilitates the setup of monitoring solutions to track system health, performance metrics, and application logs in real-time.

When to use it

  • Initial Setup: Configure monitoring infrastructure for new microservices or cloud-native applications.
  • Incident Response: Rapidly deploy additional observability agents during a production outage to gather diagnostic data.
  • Performance Tuning: Analyze collected metrics and logs to identify bottlenecks in database queries or API response times.
  • Compliance Audits: Ensure logging standards are met across distributed systems for security compliance checks.

Key capabilities

  • Discovery of available observability tools and agents.
  • Installation and configuration of monitoring software via AI instructions.
  • Integration with existing DevOps pipelines for automated health checks.
  • Real-time data collection from various system components.

Example prompts

  • "Install Prometheus and Grafana on my Kubernetes cluster to monitor pod resource usage."
  • "Set up log aggregation using Fluentd to centralize logs from all my EC2 instances."
  • "Configure alerting rules in Datadog for high CPU utilization on our production servers."

Tips & gotchas

Ensure your AI agent has the necessary permissions to access and modify infrastructure before attempting installation. Always verify that the chosen observability tools are compatible with your existing stack to avoid conflicts.