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Cpu Gpu Performance

Checked
athola·vlatest·other·MIT

Athola's cpu-gpu-performance analyzes system resource utilization to identify bottlenecks and optimize application performance.

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 athola/claude-night-market --skill cpu-gpu-performance -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

athola

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 athola/claude-night-market at 9045831255.

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

Commit
9045831255
Manifest
plugins/conserve/skills/cpu-gpu-performance/SKILL.md
Scanned
1 file, 109 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 analyzes CPU and GPU performance metrics. It can identify bottlenecks, suggest optimizations for improved speed, and provide insights into resource utilization. The tool aims to help users understand how their hardware is performing under different workloads.

When to use it

  • Troubleshooting slow application performance: Determine if the bottleneck lies in CPU or GPU usage.
  • Optimizing game settings: Identify optimal graphics settings for a desired frame rate.
  • Evaluating hardware upgrades: Assess whether upgrading your CPU or GPU will yield significant improvements.
  • Monitoring server resource utilization: Track CPU and GPU load to ensure efficient operation of servers.

Key capabilities

  • CPU performance analysis
  • GPU performance analysis
  • Bottleneck identification
  • Optimization suggestions
  • Resource utilization tracking

Example prompts

  • "Analyze the CPU and GPU usage while running [application name]."
  • "What are the recommended graphics settings for [game title] to achieve 60 FPS?"
  • "Compare my current CPU/GPU performance with similar hardware configurations."

Tips & gotchas

The accuracy of the analysis depends on providing specific application or workload details. Ensure you have appropriate monitoring tools installed and configured before using this skill.