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Resource Monitor

Checked
curiouslearner·vlatest·other·MIT

Tracks CPU, memory, disk usage, and network activity to identify performance bottlenecks and optimize resource allocation.

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 curiouslearner/devkit --skill resource-monitor -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

curiouslearner

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 curiouslearner/devkit at 3fa45b7ab3.

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

Commit
3fa45b7ab3
Manifest
skills/resource-monitor/SKILL.md
Scanned
1 file, 599 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

The resource-monitor skill allows an AI agent to track and report on system resource usage. It provides real-time data about CPU, memory, disk I/O, and network activity. This enables agents to understand their impact on the host environment and potentially optimize performance.

When to use it

  • Debugging Agent Performance: Identify bottlenecks or excessive resource consumption when an agent is experiencing slowdowns.
  • Resource Optimization: Help an agent adjust its behavior to minimize CPU usage during peak hours.
  • System Health Monitoring: Provide a summary of system resources for reporting purposes.
  • Automated Scaling Decisions: Integrate with scaling infrastructure to trigger resource adjustments based on agent activity.

Key capabilities

  • CPU Usage Tracking
  • Memory Consumption Reporting
  • Disk I/O Monitoring
  • Network Activity Analysis

Example prompts

  • "Show me the current CPU usage."
  • "How much memory is being used?"
  • "Report on disk I/O for the last 5 minutes."
  • "What's the network bandwidth consumption right now?"

Tips & gotchas

The accuracy of resource data depends on the underlying system monitoring tools. Ensure appropriate permissions are granted to the agent to access relevant system metrics.