Fine-Tune Studio for OpenClaw — Review, Trust Score & Install Guide

Short answer: Fine-Tune Studio is a verified OpenClaw skill for ai & llms. Trust Score 90/100 based on source transparency, permission scope, install safety, update recency, community signal, and documentation quality.

Trust Score: 90/100

Security tier: Verified
Risk level: Low
Last reviewed: 2026-02-14
Reviewer: OpenClaw Skills Hub editorial team
Version: 1.2.0
Author: ml-tools
Install command: npx clawhub@latest install fine-tune-studio

How we calculate Trust Scores →

What Fine-Tune Studio does

Fine-Tune Studio brings model customization to OpenClaw. Prepare training datasets, launch fine-tuning jobs on OpenAI, Together AI, or your own GPU infrastructure, evaluate model quality with automated benchmarks, and deploy fine-tuned models to production. Perfect for teams that need domain-specific AI without the MLOps complexity.

How to install Fine-Tune Studio

Install the OpenClaw CLI: npm install -g clawhub@latest
Install this skill: npx clawhub@latest install fine-tune-studio
Verify the install: openclaw skills list

Security review

This skill is currently classified as Verified with a low risk profile. Our reviewers inspected the SKILL.md manifest, dependency tree, declared permissions, network calls, and shell commands before publishing this score. See our editorial policy and Trust Score methodology for the full rubric.

Best for

Fine-tune models on domain-specific data
Create custom classifiers for content moderation
Build specialized code generation models
Train models to match your brand voice

Avoid if

You need a fully air-gapped install with no network calls.
Your environment forbids skills with third-party dependencies.
You require a formally audited SBOM that this version does not yet provide.

Alternatives & related skills

Embeddings Manager — Generate, store, and search vector embeddings for semantic search, clustering, and recommendation systems.
Model Evaluator — Benchmark and compare AI models with automated evaluation suites, A/B tests, and quality scoring.
Prompt Optimizer — Automatically optimize and compress prompts for better results and lower token costs.

Frequently asked questions

What providers can I fine-tune on?

OpenAI, Together AI, Anyscale, and any infrastructure with a compatible training API. Self-hosted training with Axolotl is also supported.

How much data do I need?

Quality over quantity — 100 high-quality examples can produce excellent results. The skill includes data augmentation tools.

How do I install Fine-Tune Studio?

Run `npx clawhub@latest install fine-tune-studio` from any directory with Claude Code or OpenClaw installed. The skill is added to your local SKILL.md registry and is available to your agent immediately — no restart required.