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Ship Learn Next

Checked
softaworks·vlatest·frontend·MIT

Predicts optimal ship routing adjustments based on real-time conditions and historical data for fuel efficiency.

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 softaworks/agent-toolkit --skill ship-learn-next -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

softaworks

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 softaworks/agent-toolkit at 3027f20f31.

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

Commit
3027f20f31
Manifest
skills/ship-learn-next/SKILL.md
Scanned
2 files, 497 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 ship-learn-next skill enables AI agents to interact with and utilize Next.js-based web applications, allowing them to extract data, navigate pages, and perform actions within a React framework environment. It is designed to help agents learn and adapt to dynamic website structures efficiently.

When to use it

  • When an agent needs to scrape or analyze content from a Next.js-powered site.
  • To automate tasks such as form submissions or navigation on single-page applications built with Next.js.
  • For testing or interacting with web interfaces that rely on React components and server-side rendering.

Key capabilities

  • Integration with Next.js framework for dynamic website interaction.
  • Extraction of data from React-based UI elements.
  • Navigation through client-side rendered pages.

Example prompts

  • "Extract all headlines from the latest blog posts on the company's Next.js site."
  • "Navigate to the contact page and fill out the form with sample data."
  • "Identify all interactive components on this Next.js application for testing purposes."

Tips & gotchas

  • Ensure that the target website is built using Next.js, as compatibility may vary.
  • Some dynamic content may require JavaScript execution, so ensure your environment supports it.