Skip to content
TrustedSkillsbeta
Back to all skills

Llmlb Cli Usage

Checked
akiojin·vlatest·backend·MIT

This skill provides a concise guide to using the Llmlb CLI for managing your LLM deployments and configurations effectively.

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 akiojin/llmlb --skill llmlb-cli-usage -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

akiojin

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 akiojin/llmlb at 6c899c1505.

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

Commit
6c899c1505
Manifest
.codex/skills/llmlb-cli-usage/SKILL.md
Scanned
3 files, 104 lines
Copies in repo
3 — all of them scanned
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 llmlb-cli-usage skill enables AI agents to interact with and utilize the LLMLB command-line interface. This allows for programmatic installation, management, and execution of skills within an LLMLB environment. It provides a way to automate tasks related to skill deployment and usage, streamlining workflows for developers and users alike.

When to use it

  • Automated Skill Installation: Automatically install required skills based on configuration or user request.
  • Skill Management Scripts: Build scripts that manage the lifecycle of LLMLB skills (install, update, uninstall).
  • Dynamic Skill Execution: Trigger specific skill executions within an agent's workflow programmatically.
  • Integration with CI/CD Pipelines: Incorporate skill management into continuous integration and deployment processes.

Key capabilities

  • Command-line interface interaction
  • Skill installation
  • Skill updating
  • Skill uninstallation
  • Programmatic skill execution

Example prompts

  • "Install the 'my_custom_skill' skill."
  • "Update all installed skills to their latest versions."
  • "Uninstall the 'legacy_tool' skill."
  • "Execute the 'data_processor' skill with these parameters: [parameters]."

Tips & gotchas

The agent must have access to and be configured with the LLMLB CLI environment for this skill to function correctly. Ensure that necessary dependencies are installed before attempting to use llmlb-cli-usage.