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Skill Scaffold

Listed
nextfrontierbuilds·vlatest·agents

Automatically generates structured prompts and workflows to guide AI models toward desired outputs and complex tasks.

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 nextfrontierbuilds/skill-scaffold --skill skill-scaffold -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

nextfrontierbuilds

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: img.shields.io.

    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.

    Hosts contacted

    img.shields.ioundeclaredwww.npmjs.compackage registryopensource.orgstandardsgithub.comsource host

    What it found

    • bin/skill-scaffold.js:167contacts img.shields.io
      [![npm version](https://img.shields.io/npm/v/${skillName}.svg)](https://www.npmjs.com/package/${skillName})
    • bin/skill-scaffold.js:168contacts img.shields.io
      [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

  • 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 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 nextfrontierbuilds/skill-scaffold at 5bb32bb354.

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

Commit
5bb32bb354
Manifest
SKILL.md
Scanned
4 files, 680 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 skill-scaffold skill provides a foundational structure for building and deploying AI agent skills. It offers a pre-configured environment with essential tools, simplifying the initial setup process. This allows developers to rapidly prototype and iterate on new skill functionalities without getting bogged down in boilerplate configuration.

When to use it

  • New Skill Development: Start a new AI agent skill from a clean, standardized base.
  • Rapid Prototyping: Quickly test and experiment with different skill concepts and features.
  • Standardized Environment: Ensure consistency across multiple skills by leveraging a common development foundation.
  • Team Collaboration: Facilitate easier collaboration among developers working on AI agent skills.

Key capabilities

  • Pre-configured development environment
  • Essential tooling for skill creation
  • Standardized project structure
  • Rapid prototyping capabilities

Example prompts

  • "Create a new skill scaffold with the name 'data-extractor'."
  • "Initialize a skill-scaffold project using Python."
  • "Generate a basic skill template based on the skill-scaffold."

Tips & gotchas

The skill-scaffold assumes a basic understanding of software development principles. While it simplifies setup, familiarity with command-line tools and your chosen programming language is beneficial for effective use.