unsloth

unsloth is a skill for Claude Code, Codex from aivrar/portable-hermes-agent. It costs 28 tokens per session (496 once invoked), scanned A, a copy of unsloth, MIT.

A toolkit for fine-tuning language models with LoRA and QLoRA, methods that adapt a model while using less memory than changing all of its parameters.

In plain words
What is it for?
Use it to develop, configure, debug, and run LoRA or QLoRA fine-tuning workflows for language models.
Why use it?
It is intended to make fine-tuning faster and possible with less GPU memory.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to develop, configure, debug, and run LoRA or QLoRA fine-tuning workflows for language models.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aivrar/portable-hermes-agent/unsloth
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 aivrar/portable-hermes-agent --skill unsloth
Clone the repo
git clone --depth 1 https://github.com/aivrar/portable-hermes-agent

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 unsloth

README.md
[![agentmods](https://agentmods.dev/badge/skills/aivrar/portable-hermes-agent/unsloth/github.svg)](https://agentmods.dev/skills/aivrar/portable-hermes-agent/unsloth)
Your own site
<a href="https://agentmods.dev/skills/aivrar/portable-hermes-agent/unsloth"><img src="https://agentmods.dev/badge/skills/aivrar/portable-hermes-agent/unsloth/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 unsloth

Your own site · 80×15
<a href="https://agentmods.dev/skills/aivrar/portable-hermes-agent/unsloth"><img src="https://agentmods.dev/badge/skills/aivrar/portable-hermes-agent/unsloth.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 496 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 100% copy Near-identical to another mod 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 $0.00028 $0.00496
Opus 5 $0.00014 $0.00248
Sonnet 5 $0.00006 $0.00099
Haiku 4.5 $0.00003 $0.00050

Measured 7d ago against content hash 967497adab19, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

unsloth 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 7d 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.

Origin

This is a copy

100% identical to unsloth — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

optional-skills/mlops/training/unsloth/SKILL.md · 85 lines

What it actually says

Unsloth Skill

Assistance with unsloth development, generated from official documentation.

When to Use This Skill

This skill should be triggered when:

  • Working with unsloth
  • Asking about unsloth features or APIs
  • Implementing unsloth solutions
  • Debugging unsloth code
  • Learning unsloth best practices

Quick Reference

Common Patterns

Quick reference patterns will be added as you use the skill.

Reference Files

This skill includes full documentation in references/:

  • llms-txt.md - Llms-Txt documentation

Use view to read specific reference files when detailed information is needed.

Working with This Skill

For Beginners

Start with the getting_started or tutorials reference files for foundational concepts.

For Specific Features

Use the appropriate category reference file (api, guides, etc.) for detailed information.

For Code Examples

The quick reference section above contains common patterns extracted from the official docs.

Resources

references/

Organized documentation extracted from official sources. These files contain:

  • Detailed explanations
  • Code examples with language annotations
  • Links to original documentation
  • Table of contents for quick navigation

scripts/

Add helper scripts here for common automation tasks.

assets/

Add templates, boilerplate, or example projects here.

Notes

  • This skill was automatically generated from official documentation
  • Reference files preserve the structure and examples from source docs
  • Code examples include language detection for better syntax highlighting
  • Quick reference patterns are extracted from common usage examples in the docs

Updating

To refresh this skill with updated documentation:

  1. Re-run the scraper with the same configuration
  2. The skill will be rebuilt with the latest information
Files

What ships with it

4 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. 7d ago First seen · 85 lines · 28 tokens per session scan A 967497adab19

Subscribe to this mod's changes

unsloth is a skill published in the GitHub repository aivrar/portable-hermes-agent (217 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 496 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to unsloth, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

rag-index-decisions

After making a non-obvious architectural decision, solving a novel bug, agreeing on a coding standard, or reaching a conclusion worth remembering, index it back into the knowledge base so the next occurrence is one search away. Uses adddocument or addfromurl. Closes the feedback loop that makes a RAG-backed team…

lyonzin/knowledge-rag · 72 tokens

rag-cite-sources

Every technical claim drawn from the local corpus must ship with a source citation formatted as path:line or path:section. Trigger whenever the response quotes, paraphrases, or acts on knowledge that came from a searchknowledge or getdocument call. Makes answers auditable and lets the user jump to source in one click.

lyonzin/knowledge-rag · 70 tokens

rag-onboard-context

At the start of every new session or when the topic shifts significantly, probe the knowledge base to learn what is indexed. Calls getindexstats + listcategories + a couple of exploratory searchknowledge queries. Prevents the agent from operating blind or making wrong assumptions about what the corpus contains.

lyonzin/knowledge-rag · 63 tokens

rag-web-fallback

Only reach for external web search when the local corpus comes back empty or clearly insufficient. Forces the agent to try knowledge-rag first, then explicitly document why it needed to escalate. Prevents wasted API cost, latency, and (in air-gapped deployments) accidental network calls.

lyonzin/knowledge-rag · 61 tokens

library-rag

Semantic search over a personal library using Nemotron-3-Embed-1B embeddings + sqlite-vec. Index books, documents, any text corpus; query by meaning. Includes EPUB→Markdown conversion and MCP server for auto-available search tools.

moonlight-lupin/agent-skills · 54 tokens

proxy-local-ai-subscriptions

A guide for exposing your local Codex, ChatGPT Codex, or Claude Code subscription through a protected local OpenAI-compatible endpoint, then connecting it to NextClaw as a custom provider.

Peiiii/nextclaw · 126 tokens