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Observability & Monitoring

Checked
ariegoldkin·vlatest·devops·MIT

Provides automated observability and monitoring dashboards, alerts, and insights to optimize application performance and reliability.

Repository

Install on your platform

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

Installs under a different name. Its SKILL.md names it Observability & Monitoring, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add ariegoldkin/ai-agent-hub --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

ariegoldkin

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 ariegoldkin/ai-agent-hub at 758a7f7453.

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

Commit
758a7f7453
Manifest
skills/observability-monitoring/SKILL.md
Scanned
6 files, 786 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 provides capabilities for analyzing and interpreting observability data, including metrics, logs, and traces. It can help identify anomalies, troubleshoot issues, and provide insights into system performance. The tool supports querying time series data and correlating events across different systems to pinpoint root causes of problems.

When to use it

  • Incident Response: Quickly diagnose the cause of a production outage by analyzing metrics and logs.
  • Performance Optimization: Identify bottlenecks in your application or infrastructure based on performance trends.
  • Capacity Planning: Predict future resource needs by analyzing historical usage patterns.
  • Security Investigation: Correlate security events with system behavior to identify potential threats.

Key capabilities

  • Time series data querying
  • Log analysis and aggregation
  • Trace correlation
  • Anomaly detection
  • Root cause analysis

Example prompts

  • "Show me the CPU utilization for my web servers over the last hour."
  • "What are the top 5 error messages in our application logs today?"
  • "Correlate these two events: a spike in latency and an increase in database connections."

Tips & gotchas

The skill's effectiveness depends on having properly configured observability tools (e.g., Prometheus, Grafana, Elasticsearch) sending data to the system it accesses. Ensure your monitoring infrastructure is set up correctly before using this skill.