ml-pipeline-workflow

ml-pipeline-workflow is a skill for Claude Code, Codex from aRustyDev/dotfiles. It costs 48 tokens per session (1,479 once invoked), scanned A, original, no licence file.

An MLOps pipeline builder for taking machine-learning data from preparation through training, checking, and production release. MLOps means managing machine-learning work with repeatable development and deployment processes.

In plain words
What is it for?
Use it to create automated machine-learning pipelines, validate models, and deploy trained models.
Why use it?
It reduces manual work and inconsistency when training models and moving them into production.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to create automated machine-learning pipelines, validate models, and deploy trained models.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/arustydev/dotfiles/ml-pipeline-workflow
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 aRustyDev/dotfiles --skill ml-pipeline-workflow
Clone the repo
git clone --depth 1 https://github.com/aRustyDev/dotfiles

Made for: Claude Code, Codex.

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 ml-pipeline-workflow

README.md
[![agentmods](https://agentmods.dev/badge/skills/arustydev/dotfiles/ml-pipeline-workflow.svg)](https://agentmods.dev/skills/arustydev/dotfiles/ml-pipeline-workflow)
Your own site
<a href="https://agentmods.dev/skills/arustydev/dotfiles/ml-pipeline-workflow"><img src="https://agentmods.dev/badge/skills/arustydev/dotfiles/ml-pipeline-workflow.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,479 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 $0.00048 $0.01479
Opus 5 $0.00024 $0.00740
Sonnet 5 $0.00010 $0.00296
Haiku 4.5 $0.00005 $0.00148

Measured 2d ago against content hash 79d76e607424, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

ml-pipeline-workflow 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 2d 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.

.ai/plugins/machine-learning-ops/skills/ml-pipeline-workflow/SKILL.md · 246 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. 2d ago First seen · 246 lines · 48 tokens per session scan A 79d76e607424

Subscribe to this mod's changes

ml-pipeline-workflow is a skill published in the GitHub repository aRustyDev/dotfiles (1 stars, last pushed 4mo ago), with no licence file. It adds 48 tokens to every session and 1,479 once invoked, about $0.0002 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 2026-09-04.

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