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Skill Performance Profiler

Checked
exploration-labs·vlatest·testing

Analyzes AI agent actions to identify performance bottlenecks and suggest improvements for exploration strategies.

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 exploration-labs/nates-substack-skills --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

exploration-labs

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 exploration-labs/nates-substack-skills at 61c6afd747.

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

Commit
61c6afd747
Manifest
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

The Performance Profiler skill analyzes the execution time of code blocks within an AI agent's workflow. It identifies bottlenecks and areas for optimization by providing detailed timing information for different parts of a process. This allows users to understand where their agent is spending most of its time, enabling targeted improvements in efficiency.

When to use it

  • Debugging slow workflows: Identify why an agent task is taking longer than expected.
  • Optimizing resource usage: Pinpoint code sections consuming excessive computational resources.
  • Improving overall agent responsiveness: Reduce latency and improve the speed of AI agent interactions.
  • Analyzing complex chains: Understand the performance impact of each step in a multi-stage process.

Key capabilities

  • Code block timing analysis
  • Bottleneck identification
  • Performance data reporting

Example prompts

  • "Profile the execution time of my summarize_article function."
  • "Show me a breakdown of how long each step takes in my email processing workflow."
  • "Analyze the performance of this code snippet and suggest optimizations."

Tips & gotchas

The Performance Profiler requires access to the agent's codebase or execution environment. Results are most accurate when profiling representative workloads, as timing can vary based on input data.