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Agent Performance Optimizer

Checked
ruvnet·vlatest·agents·MIT

Automatically adjusts ruvnet agent parameters to maximize efficiency and output quality based on real-time performance data.

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-optimizer --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-optimizer/SKILL.md
Scanned
1 file, 363 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-optimizer skill enhances AI agent performance. It optimizes resource allocation and improves overall efficiency, leading to faster response times and reduced operational costs. This is achieved through dynamic adjustment of agent configurations based on real-time workload analysis.

When to use it

  • High Agent Load: When agents are experiencing consistently high request volumes or long processing times.
  • Cost Optimization: To reduce the computational resources consumed by AI agents, lowering operational expenses.
  • Performance Bottlenecks: When identifying and addressing performance slowdowns in agent workflows.
  • Scaling Agents: When increasing the number of agents to handle growing demand while maintaining responsiveness.

Key capabilities

  • Dynamic resource allocation
  • Real-time workload analysis
  • Automated configuration adjustments
  • Performance optimization

Example prompts

  • "Optimize my agent for peak load times."
  • "Reduce the cost of running my agents by 15%."
  • "Analyze agent performance and suggest improvements."

Tips & gotchas

The skill requires access to agent resource usage data. Ensure appropriate permissions are granted for accurate workload analysis and effective optimization.