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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/ruflo at b636802d8c.

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

Commit
b636802d8c
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 ruvnet-agent-performance-monitor skill provides real-time monitoring of AI agent performance. It allows users to track metrics and identify potential bottlenecks or areas for optimization within their agents. This skill is designed to help improve the efficiency and effectiveness of deployed AI agents.

When to use it

  • Troubleshooting slow response times: Identify if an agent's performance degradation is due to resource constraints or inefficient code.
  • Optimizing agent resource allocation: Determine if your agents are over- or under-utilizing resources, allowing for better cost management.
  • Monitoring deployed agents in production: Track key performance indicators (KPIs) and proactively address issues before they impact users.
  • Evaluating the impact of code changes: Measure how modifications to an agent’s logic affect its overall performance.

Key capabilities

  • Real-time performance monitoring
  • Metric tracking
  • Bottleneck identification
  • Resource utilization analysis

Example prompts

  • "Show me the current CPU usage for my 'Order Processing' agent."
  • "What was the average response time of the 'Customer Support' agent over the last hour?"
  • "Alert me if any agent exceeds 90% memory utilization."

Tips & gotchas

This skill requires access to the underlying infrastructure where your agents are deployed. Ensure proper permissions and configurations are in place for accurate data collection and analysis.