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Running Performance Tests

Listed
jeremylongshore·vlatest·testing·MIT

Automates performance test execution, data collection, and reporting using specified scripts and configurations.

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 jeremylongshore/tons-of-skills-marketplace --skill running-performance-tests -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

jeremylongshore

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.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

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Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

This skill allows AI agents to execute and analyze performance tests. It can run tests against specified URLs, providing metrics like response time, throughput, and error rates. The results are presented in a structured format suitable for automated analysis or reporting.

When to use it

  • Website Load Testing: Evaluate the responsiveness of a website under simulated user load before a major release.
  • API Performance Monitoring: Regularly check the performance of critical APIs to identify bottlenecks and ensure stability.
  • Network Condition Simulation: Test application behavior under various network conditions (e.g., high latency, packet loss).
  • Baseline Establishment: Create a baseline for performance metrics to track improvements or regressions over time.

Key capabilities

  • URL testing
  • Response time measurement
  • Throughput calculation
  • Error rate reporting

Example prompts

  • "Run a performance test against https://www.example.com and report the average response time."
  • "Simulate 100 concurrent users accessing https://api.mycompany.com/data for 60 seconds, then provide a throughput summary."
  • “Test https://internal-service.local:8080 with high latency and report any errors.”

Tips & gotchas

The skill requires access to the internet to execute tests against specified URLs. Be mindful of rate limits when testing public endpoints; excessive requests may lead to temporary blocking.