Generate Openenv Env

What it does

When your agent uses it

• Someone asks to scaffold an OpenEnv server
• Port an existing env to OpenEnv
• Add MCP tools to an env
• Deploy an OpenEnv to HF Spaces

Example prompts

• “wrap my game in OpenEnv”
• “make an MCP env for X”
• “add the openenv variant”
• “/generate-openenv-env”

Requirements

• Python 3
• Docker

Workflow steps

7 steps, taken from the step headings in SKILL.md.

1. 1Pydantic state model — models.py
2. 2The MCPEnvironment — server/_environment.py
3. 3The FastAPI app — server/app.py
4. 4Custom Gradio UI (optional, computer-use-style envs benefit)
5. 5The rollout — rollout.py
6. 6The Dockerfile
7. 7The HF Space README frontmatter

What it can do on your machine

Read from SKILL.md and the folder at commit 5e0b46e. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • uv
  • curl

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • huggingface.co
  • github.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Generate Openenv Env loads about 2.4k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 175 tokens; SKILL.md has 691 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~175

When it runs · the whole SKILL.md, loaded when a task matches

~2.4k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~3.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from adithya-s-k/FineEnvs at commit 5e0b46e, republished under its Apache-2.0 licence (© adithya-s-k). 691 words, ~2,351 tokens.

name

generate-openenv-env

description

Builds an OpenEnv (Hugging Face) variant of an RL environment. Use whenever someone asks to scaffold an OpenEnv server, port an existing env to OpenEnv, add MCP tools to an env, or deploy an OpenEnv to HF Spaces. OpenEnv is the right framework when the user wants HTTP+MCP, structured tool calls discovered via `list_tools()`, an optional Gradio UI, sandbox-backed sessions, or deployment as a Docker container / HF Space. Output is a runnable `<env_dir>/openenv/` folder with `server/app.py`, `server/<env>_environment.py`, `pyproject.toml`, `Dockerfile`, and `rollout.py`. Use for prompts like "wrap my game in OpenEnv", "make an MCP env for X", or "add the openenv variant".

<env_dir>/openenv/
├── pyproject.toml      # openenv + e2b-* + fastmcp + uvicorn + gradio
├── __init__.py
├── models.py           # Pydantic State / typed action / observation models
├── Dockerfile          # multi-stage from ghcr.io/huggingface/openenv-base
├── openenv.yaml        # spec_version 1, name, runtime, app, port
├── server/
│   ├── __init__.py
│   ├── app.py          # create_app(EnvCls, CallToolAction, CallToolObservation, env_name=...)
│   └── <env>_environment.py    # MCPEnvironment subclass with @mcp.tool methods
├── rollout.py          # MCPToolClient drives the server; auto-discovers tools
└── README.md           # one-page; with HF frontmatter if deploying to Spaces

class MyEnv(MCPEnvironment):
    SUPPORTS_CONCURRENT_SESSIONS = True   # only if real session isolation
    def __init__(self):
        # ... env-side state init
        mcp = FastMCP("my_env")
        @mcp.tool
        def my_tool(arg: int) -> str: ...
        super().__init__(mcp)

import os
from openenv.core.env_server.http_server import create_app
from openenv.core.env_server.mcp_types import CallToolAction, CallToolObservation
try:
    from .my_environment import MyEnv
    from .gradio_ui import my_ui_builder      # only if you have a custom UI
except ImportError:
    from server.my_environment import MyEnv
    from server.gradio_ui import my_ui_builder

def _custom_gradio_builder(*args, **kwargs):
    return my_ui_builder(env_factory=MyEnv)

os.environ["ENABLE_WEB_INTERFACE"] = "true"
app = create_app(
    MyEnv, CallToolAction, CallToolObservation,
    env_name="my_env",
    max_concurrent_envs=int(os.getenv("MAX_CONCURRENT_ENVS", "4")),
    gradio_builder=_custom_gradio_builder,   # omit if no custom UI
)

from openenv.core.mcp_client import MCPToolClient
with MCPToolClient(base_url=ENV_URL).sync() as env:
    env.reset()
    tools = env.list_tools()                 # list of ToolSpec
    # convert to OpenAI tool schemas, drive the LLM, call env.call_tool(name, **args)

def _call(env, name, **kwargs):
    out = env.step(CallToolAction(tool_name=name, arguments=kwargs))
    return out.observation.result or {}

def _b64_screenshot(env):
    res = _call(env, "screenshot")
    for c in res.get("content", []) or []:
        if c.get("type") == "image" and c.get("data"):
            return c["data"]
    raise RuntimeError(f"screenshot returned no image: {res}")

---
title: My Env Server
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
app_port: 8000
base_path: /web
tags: [openenv, your-domain]
short_description: One-line summary
---

© adithya-s-k, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in .claude/skills/generate-openenv-env of adithya-s-k/FineEnvs.

• SKILL.md
• references/architecture.md

Open the folder on GitHubat commit 5e0b46e