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Agent Performance Monitor

Checked
ruvnet·vlatest·agents·MIT

Helps with performance optimization, monitoring as part of orchestrating AI agents and multi-step 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 ruvnet/ruflo --skill agent-performance-monitor --full-depth -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

ruvnet

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 ruvnet/claude-flow at 49da6ecc44.

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

Commit
49da6ecc44
Manifest
.agents/skills/agent-performance-monitor/SKILL.md
Scanned
1 file, 657 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 Agent Performance Monitor skill allows you to track and analyze the performance of your AI agents over time. It collects metrics such as execution time, cost, and error rates, providing insights into efficiency and potential areas for optimization. This data is presented in a clear format, enabling informed decisions about agent configuration and resource allocation.

When to use it

  • Debugging slow agents: Identify bottlenecks and inefficiencies impacting an agent's speed.
  • Cost Optimization: Monitor agent costs to identify opportunities for reducing expenses without sacrificing performance.
  • Error Rate Analysis: Track error rates to pinpoint problematic areas in your agent workflows.
  • Performance Regression Detection: Establish a baseline and detect when changes negatively impact agent performance.

Key capabilities

  • Execution time tracking
  • Cost monitoring
  • Error rate reporting
  • Historical data analysis

Example prompts

  • "Show me the average execution time for my 'content_summarizer' agent over the last week."
  • "What was the total cost of running the 'data_extraction' agent yesterday?"
  • "Report any errors encountered by the 'email_responder' agent in the past 24 hours."

Tips & gotchas

The skill requires appropriate permissions to access and monitor agent execution data. Ensure your AI agent has the necessary credentials configured for accurate performance tracking.