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Performance Profiler

Checked
latestaiagents·vlatest·testing·MIT

Analyzes LatestAIAgents performance metrics, identifying bottlenecks and suggesting optimizations for improved efficiency.

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 latestaiagents/agent-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

latestaiagents

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 latestaiagents/agent-skills at 6120c5539d.

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

Commit
6120c5539d
Manifest
skills/developer/debug-detective/performance-profiler/SKILL.md
Scanned
2 files, 736 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 LatestAIAgents Performance Profiler skill provides detailed performance metrics for AI agent executions. It captures latency, resource consumption (CPU and memory), and token usage during different stages of an agent's workflow. This allows users to identify bottlenecks and optimize agent efficiency for improved speed and cost-effectiveness.

When to use it

  • Debugging slow agents: Pinpoint the specific steps or tools causing delays in your agent’s execution.
  • Optimizing costs: Identify resource-intensive operations to reduce overall operational expenses.
  • Comparing different tool configurations: Evaluate the performance impact of various tools and settings within an agent's workflow.
  • Analyzing complex workflows: Gain insights into how different components interact and affect overall agent performance.

Key capabilities

  • Latency measurement for each step in the agent’s execution flow.
  • CPU resource consumption tracking.
  • Memory usage monitoring during agent runs.
  • Token usage reporting per tool call.

Example prompts

  • "Profile my agent's execution and show me a breakdown of latency by step."
  • "Analyze CPU and memory usage for the last 5 agent runs."
  • "Compare token consumption between Tool A and Tool B in my workflow."

Tips & gotchas

The skill requires appropriate permissions to monitor resource usage within your AI agent environment. Ensure that the agent has access to collect performance data without impacting its core functionality.