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Qe Performance Testing

Checked
proffesor-for-testing·vlatest·testing·MIT

Helps with performance optimization, testing as part of testing, debugging, and quality assurance 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 proffesor-for-testing/agentic-qe --skill qe-performance-testing -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

proffesor-for-testing

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 proffesor-for-testing/agentic-qe at 124d8c735e.

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

Commit
124d8c735e
Manifest
.kiro/skills/qe-performance-testing/SKILL.md
Scanned
1 file, 283 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 allows AI agents to execute performance testing tasks. It can generate load tests, analyze results for bottlenecks, and provide recommendations for optimization. The agent can simulate user traffic and measure response times under varying conditions to identify areas of improvement in software applications.

When to use it

  • Website Load Testing: Before a major website launch or redesign, assess the site's ability to handle anticipated traffic.
  • API Performance Evaluation: Evaluate the performance characteristics of APIs under stress to ensure scalability and reliability.
  • Database Query Optimization: Identify slow database queries that negatively impact application response times.
  • Mobile App Stress Testing: Simulate concurrent users interacting with a mobile app to detect performance limitations.

Key capabilities

  • Load test generation
  • Performance analysis
  • Bottleneck identification
  • Optimization recommendations

Example prompts

  • "Generate a load test for our e-commerce website simulating 1000 concurrent users."
  • "Analyze the results of the last API performance test and identify any bottlenecks."
  • "Recommend optimizations to improve database query response times."

Tips & gotchas

This skill requires access to testing infrastructure or APIs. The quality of the analysis depends on the accuracy and completeness of the data provided.