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Performance Guardrails

Checked
wiedymi·vlatest·other

Prevents AI outputs from violating brand guidelines, legal restrictions, or ethical principles through proactive content filtering.

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 wiedymi/skills --skill performance-guardrails -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

wiedymi

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 wiedymi/skills at 5b6729845a.

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

Commit
5b6729845a
Manifest
performance-guardrails/SKILL.md
Scanned
2 files, 89 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

This skill helps AI agents maintain consistent and acceptable response times. It monitors agent execution speed, identifies potential bottlenecks, and proactively adjusts parameters to ensure a smooth user experience. The goal is to prevent slow or unresponsive behavior during complex tasks or high-load scenarios.

When to use it

  • Complex workflows: When an agent needs to perform multiple steps or interact with several tools sequentially.
  • High-volume interactions: In environments where the AI agent handles a large number of requests concurrently.
  • Resource-intensive tasks: When the agent is processing significant amounts of data, generating long outputs, or using computationally demanding models.
  • Real-time applications: Where immediate responses are critical for user satisfaction (e.g., chatbots).

Key capabilities

  • Response time monitoring
  • Performance bottleneck identification
  • Dynamic parameter adjustment
  • Proactive speed optimization

Example prompts

  • "Agent, optimize your response time for the next task."
  • "Monitor my agent's performance and alert me if it slows down."
  • "Ensure this workflow completes within 5 seconds."

Tips & gotchas

The skill’s effectiveness depends on accurate resource allocation to the AI agent. Ensure sufficient computational resources are available to prevent artificial slowdowns that the skill might attempt to compensate for.