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dl-transformer-finetune

dl-transformer-finetune is a skill for Codex from 0x-Professor/Agent-Skills-Hub. It costs 41 tokens per session (180 once invoked), scanned A, original, Apache-2.0.

A planning tool for fine-tuning transformer models, which are machine-learning models used for tasks such as text classification or generation. It records the dataset, training settings, evaluation schedule, random seed, and model-card outline.

In plain words
What is it for?
Use it to prepare Hugging Face or PyTorch training runs, choose and record hyperparameters, define evaluations, and document the resulting model.
Why use it?
It reduces guesswork and makes training runs repeatable, comparable, and easier to roll back when results are poor.

Skill for Codex

Written for Codex: agents/openai.yaml present.

not rated 10repo 6mo ago A scan 41 tokens original Apache-2.0

Good fit Use it to prepare Hugging Face or PyTorch training runs, choose and record hyperparameters, define evaluations, and document the resulting model.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/0x-professor/agent-skills-hub/dl-transformer-finetune
View source ↗ 0x-Professor/Agent-Skills-Hub
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 0x-Professor/Agent-Skills-Hub --skill dl-transformer-finetune
Clone the repo
git clone --depth 1 https://github.com/0x-Professor/Agent-Skills-Hub

Made for: 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 dl-transformer-finetune

README.md
[![agentmods](https://agentmods.dev/badge/skills/0x-professor/agent-skills-hub/dl-transformer-finetune/github.svg)](https://agentmods.dev/skills/0x-professor/agent-skills-hub/dl-transformer-finetune)
Your own site
<a href="https://agentmods.dev/skills/0x-professor/agent-skills-hub/dl-transformer-finetune"><img src="https://agentmods.dev/badge/skills/0x-professor/agent-skills-hub/dl-transformer-finetune/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 dl-transformer-finetune

Your own site · 80×15
<a href="https://agentmods.dev/skills/0x-professor/agent-skills-hub/dl-transformer-finetune"><img src="https://agentmods.dev/badge/skills/0x-professor/agent-skills-hub/dl-transformer-finetune.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 180 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 original 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 $0.00041 $0.00180
Opus 5 $0.00020 $0.00090
Sonnet 5 $0.00008 $0.00036
Haiku 4.5 $0.00004 $0.00018

Measured 12d ago against content hash b93cebf9d798, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

dl-transformer-finetune 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/build_finetune_plan.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.

skills/dl-transformer-finetune/SKILL.md · 28 lines

What it actually says

DL Transformer Finetune

Overview

Generate reproducible fine-tuning run plans for transformer models and downstream tasks.

Workflow

  1. Define base model, task type, and dataset.
  2. Set training hyperparameters and evaluation cadence.
  3. Produce run plan plus model card skeleton.
  4. Export configuration-ready artifacts for training pipelines.

Use Bundled Resources

  • Run scripts/build_finetune_plan.py for deterministic plan output.
  • Read references/finetune-guide.md for hyperparameter baseline guidance.

Guardrails

  • Keep run plans reproducible with explicit seeds and output directories.
  • Include evaluation and rollback criteria.
Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 28 lines · 41 tokens per session scan A b93cebf9d798

Subscribe to this mod's changes

dl-transformer-finetune is a skill published in the GitHub repository 0x-Professor/Agent-Skills-Hub (10 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 41 tokens to every session and 180 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 2026-08-31.

Data and AIagentic-aiagentskillsclaude-skillscodex-skillsopenclaw-skills
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