Mindket

SchemeArena

Newversion 1 · updated

Overview

Presents a research project that tests LLM agents for scheming across 400 scenarios, with a monitor called SCOUT. It is a static project page for AI safety researchers.

SchemeArena is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python and pip, only to fetch a copy of the files
  • A web browser
Runs in
  • A browser, by visiting the Space on Hugging Face
  • A copy of the files on Windows, macOS or Linux, opened in a web browser
Start with
pip install -U huggingface_hub
hf download launch/SchemeArena --repo-type space --local-dir SchemeArena
cd SchemeArena

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

SchemeArena is the project page for a study of scheming in LLM agents, meaning agents that pursue goals in a hidden way. The study builds 400 agentic scenarios across 28 safety-relevant tool areas. It also describes a monitor named SCOUT that judges scheming from what an agent reasons and does. The Space is a static website with no server code.

Who it suits

AI safety researchers and agent developers who want to see how scheming can be tested in a controlled, repeatable way.

IndustryWho uses itHow they use itExample
AI safetySafety researchersStudy scheming tests for agentsRead how the 7 setups change pressure and oversight
SoftwareAgent developersLearn what risky behavior a test can look forReview the 28 tool areas
ResearchEvaluation researchersCompare monitoring approachesRead about the SCOUT monitor
EducationStudents of AI safetyGet an overview of one benchmarkRead the project page

People who want a ready tool to run on their own agent can skip it, since this is a project page.

Where to use it

  • A browser, by visiting the Space on Hugging Face
  • A copy of the files on Windows, macOS or Linux, opened in a web browser
Use caseWhoWhat they get back
Read the project summaryResearchersAn overview of the scenarios, setups and monitor
Check the scopeDevelopersThe tool areas and setups the study covers

How to set it up

  • Python and pip, only to fetch a copy of the files
  • A web browser
  1. Install the Hugging Face hub package.
  2. Download the Space with the hf command.
  3. Move into the new folder.
  4. Open index.html in a web browser.
pip install -U huggingface_hub
hf download launch/SchemeArena --repo-type space --local-dir SchemeArena
cd SchemeArena

How to use it

Online, visit the Space on Hugging Face and read the project page. With a local copy, open index.html in your browser and read it the same way. There are no commands or settings to run.

ToolWhat it does
index.htmlThe project page
cssHolds the style sheets
jsHolds the page scripts
dataHolds the data the page shows
assetsHolds the images and other files

Example

You visit the page and read about the seven setups. You see how the study changes goals, pressure, strategic hints and oversight to test whether an agent schemes.

For newcomers and experts

If you are new, read the three bullet points at the top of the page first. They give the size of the study, the variations it tests and the monitor it proposes.

If you know the field, the study is factorized, which means it varies one factor at a time across seven controlled setups. Those setups change instrumental goals, pressure, strategic hints and oversight. SCOUT is a criteria-based monitor that rests on evidence from an agent's reasoning and its actions. The trade-off is that this page summarizes the work and does not run the tests.

  1. You visit the project page
  2. You read the scenarios and setups
  3. You see how SCOUT monitors agents
  4. You follow the study's own materials

Good to know

  • Scale: 400 scenarios, 28 tool areas and 7 controlled setups
  • Type: a static project page, so nothing runs on a server
  • License: cc-by-4
  • Cost to run: none named
  • Data it reaches: the page names the launch/SchemeArena dataset and an assets repository on Hugging Face
  • Not for: running tests on your own agent, since the page only describes the study

README and files

README

SchemeArena

Presents a research project that tests LLM agents for scheming across 400 scenarios, with a monitor called SCOUT. It is a static project page for AI safety researchers.

Made by launch on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: SchemeArena is the project page for a study of scheming in LLM agents, meaning agents that pursue goals in a hidden way. The study builds 400 agentic scenarios across 28 safety-relevant tool areas. It also describes a monitor named SCOUT that judges scheming from what an agent reasons and does. The Space is a static website with no server code.

Who it suits: AI safety researchers and agent developers who want to see how scheming can be tested in a controlled, repeatable way.

Industry | Who uses it | How they use it | Example
AI safety | Safety researchers | Study scheming tests for agents | Read how the 7 setups change pressure and oversight
Software | Agent developers | Learn what risky behavior a test can look for | Review the 28 tool areas
Research | Evaluation researchers | Compare monitoring approaches | Read about the SCOUT monitor
Education | Students of AI safety | Get an overview of one benchmark | Read the project page

People who want a ready tool to run on their own agent can skip it, since this is a project page.

Where to use it:

  • A browser, by visiting the Space on Hugging Face
  • A copy of the files on Windows, macOS or Linux, opened in a web browser
Use case | Who | What they get back
Read the project summary | Researchers | An overview of the scenarios, setups and monitor
Check the scope | Developers | The tool areas and setups the study covers

How to set it up:

  • Python and pip, only to fetch a copy of the files
  • A web browser
  1. Install the Hugging Face hub package.
  2. Download the Space with the hf command.
  3. Move into the new folder.
  4. Open index.html in a web browser.
pip install -U huggingface_hub
hf download launch/SchemeArena --repo-type space --local-dir SchemeArena
cd SchemeArena

How to use it: Online, visit the Space on Hugging Face and read the project page. With a local copy, open index.html in your browser and read it the same way. There are no commands or settings to run.

Tool | What it does
index.html | The project page
css | Holds the style sheets
js | Holds the page scripts
data | Holds the data the page shows
assets | Holds the images and other files

Example: You visit the page and read about the seven setups. You see how the study changes goals, pressure, strategic hints and oversight to test whether an agent schemes.

For newcomers and experts: If you are new, read the three bullet points at the top of the page first. They give the size of the study, the variations it tests and the monitor it proposes.

If you know the field, the study is factorized, which means it varies one factor at a time across seven controlled setups. Those setups change instrumental goals, pressure, strategic hints and oversight. SCOUT is a criteria-based monitor that rests on evidence from an agent's reasoning and its actions. The trade-off is that this page summarizes the work and does not run the tests.

You visit the project page
You read the scenarios and setups
You see how SCOUT monitors agents
You follow the study's own materials

Good to know:

  • Scale: 400 scenarios, 28 tool areas and 7 controlled setups
  • Type: a static project page, so nothing runs on a server
  • License: cc-by-4
  • Cost to run: none named
  • Data it reaches: the page names the launch/SchemeArena dataset and an assets repository on Hugging Face
  • Not for: running tests on your own agent, since the page only describes the study

On Hugging Face, 13 November 2026

  • Likes: 2
  • Built with: static
  • License: cc-by-4.0

Links

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
SchemeArena This page2staticcc-by-4.0
Arena LeaderboardShares static5,039staticapache-2.0
BrowserShares static533staticcc0-1.0
Model PulseShares static214staticapache-2.0
MTEB-BR LeaderboardShares static126staticapache-2.0
Hub StatsShares static65staticapache-2.0
Numbers as Mindket last read them, on 2026-11-12.

Reviews

No ratings yet

Write a review

No reviews yet.

More from Mindket

See all from Mindket

anaksor-ocr

Sokheng · Kit

Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…

New

Qwen2.5-7B-Instruct as GGUF files in eight quantization sizes, to chat with locally through llama.cpp. For people who want a capable 7.6B model on their own co…

New

ACE-Step 1.5 XL SFT

ACE-Step · Kit

Generates music from text with a 4B diffusion decoder, 50 steps and guidance control, aiming for higher audio quality than the base. For creators with a GPU of…

New

Similar in Research

See all in Research

Merlin-Cancer-Super

AbdomenAtlas · Kit

Detects and outlines tumors in 9 organs on CT scans, trained with the R-Super method that learns from radiology reports. A research model for medical imaging g…

New

EarthJev

dBenf · Kit

Answers typed questions about satellite image patches from all 12 Sentinel-2 bands, returning a probability for each option without writing text. A Qwen3.5-0.8…

New

getting-over-it-rl-jax

zimmerk4 · Kit

Plays the full game Getting Over It from the bottom to the end with a small trained policy network that learned inside a JAX physics simulator. For reinforceme…

New