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Performance Profiling

Checked
poletron·vlatest·testing·CC0-1.0

Analyzes Poletron's operational efficiency, identifying bottlenecks and suggesting optimizations for improved performance and resource usage.

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 odjaramillo/custom-rules --skill performance-profiling -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

poletron

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 poletron/custom-rules at aba6668777.

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

Commit
aba6668777
Manifest
registry/skills/performance-profiling/SKILL.md
Scanned
4 files, 444 lines
Copies in repo
2 — all of them scanned
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 poletron-performance-profiling skill provides detailed insights into the execution time of AI agent actions. It allows for identifying bottlenecks and optimizing workflows by pinpointing which steps consume the most resources. This skill helps users understand how their agents are performing and where improvements can be made.

When to use it

  • Debugging slow agent performance: Use when an agent is taking longer than expected to complete tasks.
  • Optimizing complex workflows: Identify inefficient steps within multi-stage processes.
  • Comparing different approaches: Evaluate the relative efficiency of alternative action sequences.
  • Resource constraint environments: Pinpoint actions that can be streamlined or eliminated in resource-limited settings.

Key capabilities

  • Action execution time measurement
  • Bottleneck identification
  • Workflow optimization suggestions (implied)

Example prompts

  • "Profile the execution of my 'order_pizza' workflow."
  • "Show me a breakdown of how long each step takes in the 'book_flight' sequence."
  • “Analyze the performance of the last five agent actions.”

Tips & gotchas

The skill requires access to agent execution logs and may need configuration depending on the underlying AI agent platform. Detailed profiling can generate significant log data, so consider setting appropriate sampling rates or filtering criteria.