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View technical comparison →Modal Labs, Inc. v1.5.3
Run AI workloads in the cloud
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Not specified in the available declarations: limitations, pricing & account requirements.
Create a Modal app that runs a Python function on a GPU
Developer declarations; not independently tested. Listing last checked Nov 7, 2026. Package observed Nov 6, 2026.
From the marketplace listing
Modal is a platform for running AI workloads in the cloud with minimal configuration; key use cases include AI model training and inference, high-performance batch jobs, and sandboxed code execution. This plugin installs the Modal CLI and Modal's official skill to help coding agents use its latest features.
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Installs the Modal CLI and Modal's official skill to help coding agents use its latest features. Modal is a platform for running AI workloads in the cloud with minimal configuration; key use cases include AI model training and inference, high-performance batch jobs, and sandboxed code execution. Modal offers official SDKs in Python, Go, and JavaScript/TypeScript, along with a CLI for interacting with the platform.
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---
name: onboard-modal
description: Install, upgrade, detect, and authenticate the Modal Python SDK and CLI on a local Codex Desktop host using Codex's bundled Python runtime, then install Modal's CLI-generated skill globally. Use when Modal is missing, `modal` is not on PATH, credentials or profiles are not configured, authentication fails, the global Modal skill is missing, or the user asks to set up Modal before running or deploying workloads.
---
# Set up Modal
Prepare the current local Codex Desktop host and install Modal's official CLI-generated skill globally. Keep credential entry in Modal's own interactive flow.
## Check for an existing Modal installation
Do this before discovering Python or installing anything:
1. Run `command -v modal`.
2. If it returns an executable, run `modal --version`.
3. If `modal --version` succeeds, preserve the existing installation. Skip both **Discover Codex Python** and **Install the CLI**, inspect `modal --help` plus any relevant subcommand help, and continue with **Install the Modal skill**.
4. If the executable is absent or broken, continue with **Discover Codex Python**.
## Discover Codex Python
1. Check whether `CODEX_PYTHON` is already set to an executable path with `test -n "${CODEX_PYTHON:-}" && test -x "$CODEX_PYTHON"`. If that succeeds, run `"$CODEX_PYTHON" --version` and preserve the existing value.
2. If `CODEX_PYTHON` is unset or invalid, invoke the Codex dynamic tool named `load_workspace_dependencies` through the tool-calling interface. This is not a shell command: never type or run `load_workspace_dependencies` in a terminal.
3. Read the `Python executable` path from the tool result, substitute it into the assignment below, and run the assignment and checks in the shell:
```bash
export CODEX_PYTHON='/exact/path/from/tool-result'
test -x "$CODEX_PYTHON"
"$CODEX_PYTHON" --version
```
Never execute the placeholder path literally. Shell tool calls may start fresh shells, so re-export the same verified value at the start of any later shell invocation before using `"$CODEX_PYTHON"`. If the Codex tool is unavailable or reports that the bundled runtime is unavailable, explain that this onboarding skill requires a local Codex Desktop thread with workspace dependencies enabled, then stop. Do not fall back to another Python installation.
After `CODEX_PYTHON` is verified, run `"$CODEX_PYTHON" -m modal --version`. If that succeeds, Modal is already installed in the bundled Python user site: skip **Install the CLI**, inspect `"$CODEX_PYTHON" -m modal --help` plus any relevant subcommand help, and continue with **Install the Modal skill**. Only continue to installation if this module check fails.
## Install the CLI
Only reach this section after both the existing `modal` executable check and the `"$CODEX_PYTHON" -m modal` check fail.
Installing packages changes the host. Explain the selected method and obtain any approval required by the execution environment before running it.
Use Codex's bundled Python interpreter to install Modal into the user's Python site directory:
```bash
"$CODEX_PYTHON" -m pip install --user --upgrade modal
```
The bundled runtime is managed and replaced by Codex updates. Always use `--user`; never install packages into the bundled runtime itself, use `sudo pip`, or modify a project's environment or lockfile as part of host onboarding. Do not fall back to `uv`, `pipx`, system Python, or a project package manager.
After installation, run `modal --version`. If the user-site scripts directory is not on `PATH`, use `"$CODEX_PYTHON" -m modal` for the current task and explain the `PATH` limitation. Do not edit shell startup files unless the user asks.
## Install the Modal skill
After `modal --version` succeeds, explain that this step writes generated skill files under the user's home directory and obtain any approval required by the execution environment. Then run:
```bash
modal skills install --global
```
Do not copy or vendor the generated skillPreview of the first 4,000 characters. Read full instructions →
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Package observed Nov 6, 2026.
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