OpenVLA-OFT Agent Skill

Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads, LoRA adaptation…

Context cost
7.1k tokensestimated from the bundle, loaded when it triggers
Bundle
5 files · 28.4 kBtext throughout, nothing executable
Licence
MITthe author’s own terms
Last change
—v1.0.0
Servers it uses
Noneruns standalone

What it does

Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads, LoRA adaptation, and FiLM conditioning on LIBERO simulation and ALOHA real-world setups. Use when reproducing OpenVLA-OFT paper results, training custom VLA action heads (L1 or diffusion), deploying server-client inference for ALOHA, or debugging normalization, LoRA merge, and cross-GPU issues.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

alohafine-tuningliberoloraopenvlaopenvla-oftroboticsvla

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md14.9 kB · preview
--- name: fine-tuning-openvla-oft version: 1.0.0 author: Orchestra Research license: MIT tags: [OpenVLA, OpenVLA-OFT, VLA, Robotics, Fine-Tuning, LIBERO, ALOHA, LoRA, FiLM, Action Chunking, Deployment, Continuous Actions] dependencies: [torch==2.2.0, transformers>=4.40.0, peft==0.11.1, draccus==0.8.0, accelerate>=0.25.0, wandb>=0.16.0, fastapi>=0.100.0, uvicorn>=0.24.0, tensorflow==2.15.0, robosuite==1.4.0] # Exact pins: OpenVLA-OFT paper results were validated on torch==2.2.0, peft==0.11.1, tensorflow==2.15.0; upgrading torch may require re-tuning the LoRA adapter merge step and re-validating action head outputs ---
11# OpenVLA-OFT
12
13Fine-tuning and evaluation workflows for OpenVLA-OFT and OpenVLA-OFT+ from the official openvla-oft codebase. Covers blank-machine setup plus LoRA-based adaptation of OpenVLA for robot action generation with continuous action prediction heads.
14
15## Quick start
16
17Clone the public repo, follow the official setup, then evaluate a pretrained LIBERO checkpoint:
18
19```bash
20git clone https://github.com/moojink/openvla-oft.git
21cd openvla-oft
22python experiments/robot/libero/run_libero_eval.py \
23 --pretrained_checkpoint moojink/openvla-7b-oft-finetuned-libero-spatial \
24 --task_suite_name libero_spatial \
25 --center_crop True \
26 --num_trials_per_task 50 \
27 --seed 7
28```
29
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md1,790 words
Files5
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈260
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
6,840
on trigger
The instruction body and 4 supporting files, read only when the skill fires.
3.5%
of a 200k window
Ten skills this size would take about 36% of the window before you open a file.
050k100k150k200k context window

7.1k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

5 files, 28.4 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md14.9 kB
  • references/aloha-workflow.md3.8 kB
  • references/config-troubleshooting.md4.0 kB
  • references/libero-workflow.md3.1 kB
  • references/paper-and-checkpoints.md2.6 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 5 files you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# OpenVLA-OFT · 7.1k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/openvla-oft/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/openvla-oft" ] && { [ ! -e .claude/skills/openvla-oft ] || { mv .claude/skills/openvla-oft "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/openvla-oft" .claude/skills/ && echo "Installed .claude/skills/openvla-oft"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add orchestra-research/openvla-oft

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/openvla-oft/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/openvla-oft/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/openvla-oft" ] && { [ ! -e ~/.claude/skills/openvla-oft ] || { mv ~/.claude/skills/openvla-oft "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/openvla-oft" ~/.claude/skills/ && echo "Installed ~/.claude/skills/openvla-oft" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/openvla-oft/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where. It appears as fine-tuning-openvla-oft in Gemini CLI, Codex, Copilot and Grok (its own name); Claude Code lists it by the folder name, openvla-oft.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Version1.0.0
Publishedno release date on file
PriceFree
Referenceorchestra-research/openvla-oft

Versions

v1.0.0 is what is on the shelf; no release here carries a date. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

v1.0.0
  • No earlier releases have been published to the marketplace.
Pinning

The install command always fetches the release that is current the day you run it — v1.0.0 today — and cannot ask for an earlier one. The copy on your disk does not change until you run it again.

Reviews

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