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Skill Performance Profiler

Checked
auldsyababua·vlatest·testing

Analyzes and visualizes AI agent performance metrics to identify bottlenecks and optimize auldsyababua skill execution.

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 auldsyababua/instructor-workflow --skill skill-performance-profiler -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

auldsyababua

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 auldsyababua/instructor-workflow at 92702083b8.

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

Commit
92702083b8
Manifest
skills/skill-performance-profiler/SKILL.md
Scanned
3 files, 554 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 provides performance profiling capabilities for AI agents. It allows users to analyze agent execution, identify bottlenecks, and optimize resource utilization. The tool offers detailed metrics on function call times and memory usage, enabling developers to pinpoint areas for improvement within their agent workflows.

When to use it

  • Debugging slow agents: Use the profiler when an agent is taking too long to complete tasks or exhibiting performance issues.
  • Optimizing resource consumption: Identify functions that are consuming excessive CPU or memory and optimize them.
  • Analyzing complex workflows: Gain insights into the execution flow of intricate AI agent processes.
  • Improving overall efficiency: Regularly profile agents to proactively identify and address potential performance degradation.

Key capabilities

  • Function call time analysis
  • Memory usage tracking
  • Detailed profiling metrics
  • Workflow visualization (implied)

Example prompts

  • "Profile the execution of my agent's task 'generate_report'."
  • "Show me a breakdown of function call times for the last run."
  • "Identify functions with memory leaks in this workflow."

Tips & gotchas

The skill requires access to the agent’s runtime environment. Ensure appropriate permissions are granted before initiating profiling sessions.