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Skill Builder

Checked
ruvnet·vlatest·agents·MIT

Skill Builder by ruvnet creates custom AI agent skills, streamlining workflows and boosting efficiency for targeted tasks.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Skill Builder, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add ruvnet/ruflo --skill "Skill Builder" --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/claude-flow at 49da6ecc44.

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

Scanned
3 files, 2,466 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 Skill Builder enables you to discover and install specialized skills for AI agents, expanding their functional capabilities. It acts as a registry interface allowing users to equip agents with new tools directly from the platform.

When to use it

  • You need to extend an existing agent's functionality beyond its default settings.
  • You are looking for specific pre-built modules compatible with your current agent setup.
  • You want to browse available options before configuring complex agent workflows.
  • You require a centralized location to find and deploy new skills efficiently.

Key capabilities

  • Browse a catalog of available skills for AI agents.
  • Install discovered skills directly into your agent environment.
  • Manage skill configurations through the registry interface.

Example prompts

  • "Help me find a data analysis skill I can install on my agent."
  • "Show me all available skills compatible with ruvnet/claude-flow."
  • "How do I install the latest automation skill from this builder?"

Tips & gotchas

Ensure your AI agent is configured to accept external skill injections before attempting installation. Verify that the installed skills align with your specific use case to avoid compatibility issues.