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Domain Embedded

Checked
goooice·vlatest·other

This "Domain Embedded" skill enhances AI responses by grounding them in specific knowledge domains for more accurate and relevant answers.

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 goooice/rust-skills --skill domain-embedded -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

goooice

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 goooice/rust-skills at 57af2e8da9.

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

Commit
57af2e8da9
Manifest
skills/domain-embedded/SKILL.md
Scanned
1 file, 169 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 goooice-domain-embedded skill enables AI agents to leverage Rust code embedded directly within their execution environment. This allows for efficient and performant operations that might be impractical or impossible with standard scripting languages. It facilitates the integration of low-level functionality and specialized algorithms into agent workflows, enhancing capabilities in areas requiring precise control and speed.

When to use it

  • High-performance calculations: Use when you need complex mathematical computations or simulations executed quickly within an AI agent's process.
  • Low-level hardware interaction: Integrate with hardware devices or systems that require direct access and fine-grained control, such as robotics or embedded systems.
  • Specialized algorithms: Implement custom algorithms for tasks like image processing, data analysis, or cryptography where Rust’s performance is critical.
  • Resource constrained environments: When the agent needs to operate in an environment with limited resources (memory, CPU).

Key capabilities

  • Rust code execution within AI agents
  • Direct integration of low-level functionality
  • High-performance algorithm implementation
  • Support for specialized hardware interaction

Example prompts

  • "Run this Rust code snippet to calculate the Fibonacci sequence up to 20 iterations."
  • "Use the embedded Rust function process_image on this image file and return the results."
  • "Execute this Rust program that controls a simulated robotic arm to move to coordinates (10, 5)."

Tips & gotchas

  • Requires familiarity with Rust programming.
  • Ensure the embedded Rust code is compiled for the target architecture of the AI agent environment.