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Monitoring Observability

Checked
rohitg00·vlatest·devops·Apache-2.0

Proactively identifies and alerts on system anomalies using comprehensive monitoring and observability data.

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 rohitg00/awesome-claude-code-toolkit --skill monitoring-observability -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

rohitg00

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 rohitg00/awesome-claude-code-toolkit at ebdf1d596d.

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

Commit
ebdf1d596d
Manifest
skills/monitoring-observability/SKILL.md
Scanned
1 file, 185 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 enables AI agents to analyze and interpret monitoring data, providing insights into system health and performance. It can correlate metrics, logs, and traces to identify root causes of issues and proactively alert on potential problems. The tool aims to enhance observability within a development environment.

When to use it

  • Troubleshooting application errors: Use the skill to quickly pinpoint the source of an error by analyzing related logs and metrics.
  • Performance optimization: Identify bottlenecks in your system by examining resource utilization trends over time.
  • Proactive issue detection: Set up alerts based on key performance indicators (KPIs) to catch potential problems before they impact users.
  • Capacity planning: Analyze historical data to predict future resource needs and ensure adequate infrastructure capacity.

Key capabilities

  • Metric analysis
  • Log correlation
  • Trace analysis
  • Alerting configuration

Example prompts

  • "Analyze the error logs from the last hour for service X."
  • "Show me a graph of CPU utilization for server Y over the past 24 hours."
  • "Create an alert if memory usage exceeds 90% on any database node."

Tips & gotchas

The skill's effectiveness depends on having properly configured monitoring and logging infrastructure in place. Ensure your metrics, logs, and traces are consistently formatted and accessible for optimal results.