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Qe Performance Analysis

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

Helps with performance optimization, analysis 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 proffesor-for-testing/agentic-qe --skill qe-performance-analysis -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-analysis/SKILL.md
Scanned
1 file, 61 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 quantitative data to identify performance trends and potential areas for improvement. It can process datasets, calculate key metrics like averages and standard deviations, and generate reports summarizing findings. The tool is designed to assist in identifying bottlenecks and optimizing processes within a system or workflow.

When to use it

  • Analyzing website traffic data to understand user behavior patterns.
  • Evaluating the performance of a software application based on log files.
  • Identifying inefficiencies in a manufacturing process using sensor readings.
  • Reviewing A/B testing results to determine which variation performs best.

Key capabilities

  • Data processing and cleaning
  • Statistical analysis (averages, standard deviations)
  • Trend identification
  • Report generation

Example prompts

  • "Analyze this CSV file of website traffic data and identify the most popular pages."
  • "Calculate the average response time for these API requests from the provided log file."
  • "Generate a report summarizing the key performance indicators (KPIs) from this dataset."

Tips & gotchas

The skill requires structured data, ideally in CSV or similar formats. Ensure the input data is clean and properly formatted to avoid inaccurate analysis results.