Domain Ml

Name: Domain Ml
Author: thurbeen

Checked

thurbeen·vlatest·ai-ml·MIT

Analyzes unstructured text data within specific industries to identify trends and predict future outcomes using machine learning.

Repository

Install on your platform

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

Run this in your project

terminal

$ npx skills add thurbeen/rust-skills --skill domain-ml -a claude-code

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

thurbeen

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 2 Oct 2026

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 thurbeen/rust-skills at 6029cb39b5.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: 6029cb39b5
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

What it does

The thurbeen-domain-ml skill provides machine learning capabilities. It allows AI agents to perform tasks related to data analysis and model building, likely within a specific domain or application. The skill is authored by thurbeen and written in Rust.

When to use it

Analyzing datasets for patterns and insights.
Building predictive models based on historical data.
Automating machine learning workflows.
Integrating machine learning functionality into existing applications.

Key capabilities

Machine Learning Functionality
Rust Implementation
Domain Specific Application (implied)

Example prompts

"Analyze this dataset and identify any significant trends."
"Build a model to predict [outcome] based on these features."
"Automate the process of training and evaluating machine learning models."

Tips & gotchas

This skill is written in Rust, so familiarity with that language or environment may be beneficial for advanced usage or customization. The specific domain this skill targets isn't explicitly stated; ensure it aligns with your intended application.