domain-ml

domain-ml is a skill for Claude Code from kikakkz/wait-agent. It costs 61 tokens per session (1,129 once invoked), scanned A, original, no licence file.

A set of guidance for building machine-learning and artificial-intelligence applications in Rust. Machine learning uses data and models to make predictions or other decisions.

In plain words
What is it for?
Use it when creating Rust applications for neural networks, deep learning, model training, predictions, or model inference.
Why use it?
AI applications require handling tensors, models, training, and inference—the process of using a trained model to produce results. This guidance covers those areas.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the rust-skills plugin — 38 skills, 21 commands, 1 hook, 1 MCP server shipped together

Good fit Use it when creating Rust applications for neural networks, deep learning, model training, predictions, or model inference.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kikakkz/wait-agent/domain-ml
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add kikakkz/wait-agent --skill domain-ml
Clone the repo
git clone --depth 1 https://github.com/kikakkz/wait-agent

Made for: Claude Code.

Or install rust-skills, the plugin that ships this one along with the rest of its 38 skills, 21 commands, 1 hook, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for domain-ml

README.md
[![agentmods](https://agentmods.dev/badge/skills/kikakkz/wait-agent/domain-ml.svg)](https://agentmods.dev/skills/kikakkz/wait-agent/domain-ml)
Your own site
<a href="https://agentmods.dev/skills/kikakkz/wait-agent/domain-ml"><img src="https://agentmods.dev/badge/skills/kikakkz/wait-agent/domain-ml.svg" alt="Measured on agentmods" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,129 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.01129
Opus 5 $0.00030 $0.00564
Sonnet 5 $0.00012 $0.00226
Haiku 4.5 $0.00006 $0.00113

Measured 8d ago against content hash 27db4b6a8e89, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

domain-ml scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.rust-skills/skills/domain-ml/SKILL.md · 182 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 182 lines · 61 tokens per session scan A 27db4b6a8e89

Subscribe to this mod's changes

domain-ml is a skill published in the GitHub repository kikakkz/wait-agent (23 stars, last pushed today), with no licence file. It adds 61 tokens to every session and 1,129 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.