Openart logo

Openart

Organization
AI45Lab
openart

Guide an OpenART agent or contributor through planning, running, extending, and debugging the framework.

Overview

PublisherAI45Lab
RepositoryOpenART
Skill nameopenart
Stars
251
Forks
28
Bundled files
Instructions only
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AI45Lab on GitHub. Read the source before you install it.

Installation

Install the Openart AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/AI45Lab/OpenART/tree/main/OpenART/skills/openart
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AI45Lab/OpenART.git /tmp/OpenART
mkdir -p .claude/skills
cp -r /tmp/OpenART/OpenART/skills/openart .claude/skills/openart
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openart in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Openart on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Openart is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OpenART guide

Use this skill when a request concerns the OpenART benchmark, planner, scenario generation, managed tools, target/attacker runs, evaluation, or framework development. This is the single operator entry point; do not create separate skills for each workflow. It is guidance for work on OpenART, not a target-visible skill, attacker payload, or authorization to run commands.

Route the request

IntentRead firstTypical entry point
Understand the frameworkdocs/00_overview.mdInspect the relevant component and task bundle
Generate a task from a scenariodocs/12_planner_design_implementation_usage.mdpython -m framework.planner.cli ...
Expand or inspect scenario seedsframework/planner/scenarios.pypython scripts/planner.py scenarios ...
Run or compare evaluationsdocs/09_evaluation_and_outputs.mdpython -m framework.cli run ...
Add or select a managed tooldocs/07_capabilities_tools_mcp.mdInspect ../openart-tools/ and tool_use_graph.json
Extend the frameworkdocs/10_extension_guides.mdPrefer a config-driven change
Diagnose a failuredocs/11_debugging_and_testing.mdInspect logs, prepared artifacts, and focused tests

Standard workflow

  1. Confirm the repository root and inspect git status before editing.
  2. Read the route-specific document and inspect existing configs/artifacts.
  3. Prefer the smallest config-driven change; avoid duplicating taxonomy or command behavior in this skill.
  4. Run a local or single-scenario smoke check before a batch or Docker launch.
  5. Validate the generated task, scenario, tool selection, and safety contract.
  6. Preserve the output directory, validation report, and failure artifacts.

Planner and corpus guidance

Planner credentials, endpoint, and model belong in .env or the shell through OPENART_PLANNER_API_KEY, OPENART_PLANNER_BASE_URL, and OPENART_PLANNER_MODEL. Use the approved model configured by the repository (for example glm-5.3-flash) rather than hard-coding a model in generated tasks or this skill. Keep the planner tool store explicit with --tool-store and keep output directories separate for independent runs.

For scenario or corpus changes, preserve the repository's scenario schema and coverage metadata. Do not silently overwrite an existing corpus; use a new output directory or an explicit, reviewed continuation plan.

Tool and target boundary

Managed tool guides under ../openart-tools/ describe capabilities available to a runtime agent. Target-native skills and attacker output are controlled by task configuration and vector_permissions. Never copy this operator guide into a target workspace, tool_guide.md, or an attacker-controlled surface.

Safety and authorization

This skill explains what to inspect and which existing entry point to use. It does not authorize Docker launches, external service calls, large paid planner batches, destructive cleanup, repository resets, or pushes. Ask for explicit confirmation before those actions. Keep secrets out of Markdown, logs, task bundles, and committed configuration.

Frequently asked questions

What does the Openart AI skill do?

Guide an OpenART agent or contributor through planning, running, extending, and debugging the framework.

Why use Openart on TypingMind?

Because you install it once and use it with any model. Openart is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Openart in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AI45Lab/OpenART/tree/main/OpenART/skills/openart. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Openart?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Openart?

As many as you like. As long as a model supports skills, you can use Openart with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Openart AI skill free?

Yes. It is published on GitHub by AI45Lab under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇