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Performance Oracle

Checked
ratacat·vlatest·other

Analyzes task performance, identifies bottlenecks, and suggests targeted improvements based on ratacat's expertise.

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 ratacat/claude-skills --skill performance-oracle -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

ratacat

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 ratacat/claude-skills at d4b471d05d.

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

Commit
d4b471d05d
Manifest
skills/performance-oracle/SKILL.md
Scanned
1 file, 110 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 performance-oracle skill provides insights into the efficiency and resource usage of AI agent workflows. It allows you to analyze execution times, identify bottlenecks, and optimize processes for improved speed and cost-effectiveness. This skill is designed to help users understand how their agents are performing and where improvements can be made.

When to use it

  • Debugging slow workflows: If an agent task takes longer than expected, this skill can pinpoint the source of the delay.
  • Optimizing costs: By identifying resource-intensive steps, you can adjust prompts or strategies to reduce operational expenses.
  • Comparing different approaches: Evaluate multiple prompt variations or tool selections based on their performance metrics.
  • Monitoring agent health: Track key performance indicators over time to detect regressions and ensure consistent operation.

Key capabilities

  • Execution Time Analysis: Measures the duration of individual steps within a workflow.
  • Resource Usage Tracking: Monitors resource consumption (e.g., tokens, API calls).
  • Bottleneck Identification: Highlights areas where delays are most significant.

Example prompts

  • "Analyze the performance of my document summarization workflow."
  • "Show me the execution time breakdown for each step in this agent's task."
  • "Compare the resource usage between prompt version A and prompt version B."

Tips & gotchas

The skill requires access to detailed logs or telemetry data from your AI agent environment. Ensure proper logging is enabled to capture necessary performance metrics before utilizing performance-oracle.