Skip to content
TrustedSkillsbeta
Back to all skills

Performance Profiler

Checked
onewave-ai·vlatest·testing·MIT

Helps with AI, performance optimization 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 onewave-ai/claude-skills --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

onewave-ai

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 onewave-ai/claude-skills at f317e08649.

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

Commit
f317e08649
Manifest
performance-profiler/SKILL.md
Scanned
1 file, 168 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 OneWave AI Performance Profiler skill analyzes and visualizes the performance of AI agent interactions. It provides detailed metrics such as token usage, latency, and cost breakdown for each turn in a conversation. This allows users to understand resource consumption patterns and identify areas for optimization within their AI workflows.

When to use it

  • Debugging slow responses: Identify bottlenecks causing delays in an AI agent's replies.
  • Cost Optimization: Analyze token usage per interaction to reduce operational expenses.
  • Performance comparisons: Evaluate the efficiency of different prompts or model configurations.
  • Understanding resource consumption: Gain insight into how your AI agents are utilizing resources over time.

Key capabilities

  • Token Usage Tracking: Monitors and reports on the number of tokens used in each turn.
  • Latency Measurement: Records the time taken for responses to be generated.
  • Cost Breakdown: Provides a detailed cost analysis per interaction.
  • Visualization: Presents performance data in an easy-to-understand format.

Example prompts

  • "Analyze my last conversation with the AI agent and show me token usage."
  • "What was the average latency for the previous 10 interactions?"
  • "Show me a cost breakdown of my recent AI agent use."

Tips & gotchas

The skill requires access to your AI agent interaction history. Ensure that the necessary permissions are granted for accurate data collection and analysis.