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Testing Performance

Checked
wojons·vlatest·testing·MIT

Helps with testing, performance optimization 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 wojons/skills --skill testing-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

wojons

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 wojons/skills at 5fe7152c66.

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

Commit
5fe7152c66
Manifest
skills/testing-performance/SKILL.md
Scanned
4 files, 133 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 assess and report on performance metrics. It can measure execution time, resource utilization (like memory), and identify potential bottlenecks in code or processes. The results are presented in a structured format suitable for analysis and optimization efforts.

When to use it

  • Debugging slow functions: Identify why a specific function is taking longer than expected to execute.
  • Optimizing scripts: Pinpoint areas within a script that consume excessive resources, enabling targeted improvements.
  • Evaluating code changes: Determine the performance impact of modifications made to existing codebases.
  • Benchmarking different approaches: Compare the efficiency of alternative algorithms or implementations for a given task.

Key capabilities

  • Execution time measurement
  • Resource utilization tracking (memory)
  • Bottleneck identification
  • Structured reporting

Example prompts

  • "Measure the execution time of this Python script: [script content]"
  • "Analyze memory usage while running this process."
  • "Compare the performance of these two code snippets for sorting a list."

Tips & gotchas

The accuracy of the results depends on the environment in which the skill is executed. Ensure consistent conditions when benchmarking different versions or approaches to obtain reliable comparisons.