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Domain Ml

Checked
actionbook·vlatest·backend

Automatically learns and adapts action sequences within Actionbook workflows based on observed user behavior and data patterns.

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 actionbook/rust-skills --skill domain-ml -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

actionbook

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 actionbook/rust-skills at 5c40d3ad78.

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

Commit
5c40d3ad78
Manifest
skills/domain-ml/SKILL.md
Scanned
1 file, 170 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

The domain-ml skill enables AI agents to interact with machine learning workflows, specifically designed for the Rust ecosystem. It allows agents to discover, install, and manage specialized ML capabilities within a defined domain context.

When to use it

  • Automating the setup of new machine learning environments in Rust-based projects.
  • Deploying pre-trained models or inference pipelines without manual CLI intervention.
  • Managing dependencies for complex data science workflows programmatically.
  • Integrating ML tools directly into CI/CD pipelines for automated testing and validation.

Key capabilities

  • Domain-specific ML Access: Provides targeted skills tailored to machine learning tasks within the Rust skill registry.
  • Installation Management: Facilitates the discovery and installation of relevant ML libraries and tools.
  • Ecosystem Integration: Works seamlessly with the actionbook/rust-skills repository structure.

Example prompts

  • "Install the latest version of a specific machine learning library required for my Rust project."
  • "Set up an inference pipeline using the available domain-ml capabilities in this environment."
  • "Discover all available machine learning skills compatible with my current Rust setup."

Tips & gotchas

  • Ensure your agent has write permissions to the target directory before attempting installations.
  • This skill is specifically scoped to the actionbook/rust-skills ecosystem; it may not handle general Python or JavaScript ML packages directly.