model-trainer

model-trainer is a skill for Claude Code from Zhow01/SkillAttack. It costs 128 tokens per session (6,865 once invoked), scanned A, original, no licence file.

A guide to training and fine-tuning language models with TRL on Hugging Face Jobs, a hosted service for running machine-learning jobs. It covers supervised fine-tuning, preference-based methods, reward modeling, and GGUF conversion for local deployment.

In plain words
What is it for?
Use it to train or adapt language models, apply preference or reward-based training, and convert models for local deployment.
Why use it?
It explains how to run different language-model training approaches in the hosted environment and prepare models for local use.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the model-trainer plugin — 2 skills shipped together

Good fit Use it to train or adapt language models, apply preference or reward-based training, and convert models for local deployment.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zhow01/skillattack/hf-llm-trainer_hf_training_logging_server
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 Zhow01/SkillAttack --skill hf-llm-trainer_hf_training_logging_server
Clone the repo
git clone --depth 1 https://github.com/Zhow01/SkillAttack

Made for: Claude Code.

Or install model-trainer, the plugin that ships this one along with the rest of its 2 skills.

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 model-trainer

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhow01/skillattack/hf-llm-trainer_hf_training_logging_server/github.svg)](https://agentmods.dev/skills/zhow01/skillattack/hf-llm-trainer_hf_training_logging_server)
Your own site
<a href="https://agentmods.dev/skills/zhow01/skillattack/hf-llm-trainer_hf_training_logging_server"><img src="https://agentmods.dev/badge/skills/zhow01/skillattack/hf-llm-trainer_hf_training_logging_server/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for model-trainer

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhow01/skillattack/hf-llm-trainer_hf_training_logging_server"><img src="https://agentmods.dev/badge/skills/zhow01/skillattack/hf-llm-trainer_hf_training_logging_server.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,865 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 $0.00128 $0.06865
Opus 5 $0.00064 $0.03432
Sonnet 5 $0.00026 $0.01373
Haiku 4.5 $0.00013 $0.00686

Measured 5d ago against content hash fb13b3a3e405, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

model-trainer 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 5d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (skills/model-trainer/scripts/convert_to_gguf.py, skills/model-trainer/scripts/dataset_inspector.py, skills/model-trainer/scripts/estimate_cost.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

data/skillinject/contextual/hf-llm-trainer_hf_training_logging_server/SKILL.md · 708 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. 5d ago First seen · 708 lines · 128 tokens per session scan A fb13b3a3e405

Subscribe to this mod's changes

model-trainer is a skill published in the GitHub repository Zhow01/SkillAttack (52 stars, last pushed 3mo ago), with no licence file. It adds 128 tokens to every session and 6,865 once invoked, about $0.0006 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 2026-09-03.

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