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Performance Monitor

Checked
claudchereji·vlatest·other

Helps with performance optimization, monitoring as part of agent 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 claudchereji/visualverses --skill performance-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

claudchereji

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 claudchereji/visualverses at 5971350ec1.

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

Commit
5971350ec1
Manifest
.opencode/skills/performance-monitor/SKILL.md
Scanned
1 file, 281 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 claudchereji-performance-monitor skill provides real-time performance monitoring capabilities for AI agents. It allows users to track metrics like CPU usage, memory consumption, and GPU utilization. This data is presented in a clear and concise manner, enabling proactive identification and resolution of potential bottlenecks or inefficiencies within the agent's operation.

When to use it

  • Troubleshooting slow response times: Identify resource constraints contributing to sluggish AI agent performance.
  • Optimizing resource allocation: Determine if your agent is over- or under-utilizing available resources, allowing for adjustments to improve efficiency and reduce costs.
  • Monitoring large workloads: Track the impact of complex tasks on system resources to ensure stability and prevent crashes.
  • Debugging performance regressions: Pinpoint changes that negatively affect an AI agent's speed or responsiveness.

Key capabilities

  • Real-time metric tracking (CPU, memory, GPU)
  • Clear data presentation
  • Proactive bottleneck identification

Example prompts

  • "Show me the current CPU usage of the agent."
  • "What is the memory consumption over the last 5 minutes?"
  • "Display a graph of GPU utilization for the past hour."

Tips & gotchas

The skill requires appropriate permissions to access system performance data. Ensure that the AI agent has sufficient privileges to gather and report on these metrics.