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Performance

Checked
kprsnt2·vlatest·other·MIT

Analyzes presentation recordings to identify areas for improvement in delivery, pacing, and audience engagement.

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 kprsnt2/mylocalcli --skill performance -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

kprsnt2

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 kprsnt2/mylocalcli at eb997e7142.

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

Scanned
1 file, 58 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, authored by kprsnt2, provides performance capabilities. The description indicates that this skill is part of a larger project called "mylocalcli." It allows users to discover and install skills for AI agents, though the specific functionality provided by the 'performance' component itself isn’t detailed in the source content.

When to use it

  • When you need to enhance an AI agent with performance-related features within the mylocalcli framework.
  • For integrating AI agents into workflows that require optimized execution or resource management.
  • To leverage pre-built components for improving the efficiency of AI tasks.
  • As part of a larger deployment of skills from the kprsnt2/mylocalcli suite.

Key capabilities

  • Provides performance features.
  • Integrates with the mylocalcli framework.
  • Allows discovery and installation of skills.

Example prompts

  • "Install the performance skill for mylocalcli."
  • "What are the performance capabilities available in mylocalcli?"
  • "Configure the performance settings for my AI agent using mylocalcli."

Tips & gotchas

This skill is part of a larger project, so ensure you have the base "mylocalcli" framework installed and configured before attempting to use it. The specific features provided by this 'performance' component are not detailed in the source content, so further documentation may be required for full utilization.