by amontlabs
Codex computer use, decoupled from the app, for usage inside any harness.
# Add to your Claude Code skills
git clone https://github.com/amontlabs/lcuSee how lcu compares with popular alternatives.
lcu is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by amontlabs. Codex computer use, decoupled from the app, for usage inside any harness. It has 59 GitHub stars.
lcu's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/amontlabs/lcu" and add it to your Claude Code skills directory (see the Installation section above).
lcu is primarily written in Python. It is open-source under amontlabs on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh lcu against similar tools.
No comments yet. Be the first to share your thoughts!
⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
The deep catalog scan for this skill is still queued. Run an instant dependency check now instead.
https://github.com/user-attachments/assets/bd9d0809-8a6c-4931-a51c-b98daf05cb5f
LCU exposes Codex's original computer-use runtime to your harness without requiring Codex authentication. The official ChatGPT desktop app must still be installed locally: it supplies the runtime and instructions, while LCU handles setup and harness integration.
Copy this into your agent:
Install and configure LCU for this harness using the latest release.
Follow https://raw.githubusercontent.com/amontlabs/lcu/main/docs/INSTALLATION.md
Check my OS, architecture, and prerequisites, then guide me through any required permissions.
Install the official ChatGPT desktop app, Python 3.12+, and your harness first. LCU checks the installed app for compatibility and uses its original runtime. For Codex CLI, update before setup to get the required hook support.
| Platform | Requirements |
|---|---|
| Linux ARM64 or x86-64 | Ubuntu 24.04-compatible glibc system, an active X11 desktop, and D-Bus |
| macOS on Apple Silicon | The signed ChatGPT app, with Accessibility and screen-recording permissions approved during first use |
Windows 11 x64 remains a candidate. Intel Macs, native Wayland, and musl Linux are unsupported. See verification and limits for tested behavior.
Download the archive and matching .sha256 file from the latest release:
| Platform | Archive |
|---|---|
| macOS on Apple Silicon | lcu-<version>-darwin-arm64.tar.gz |
| Linux ARM64 | lcu-<version>-linux-arm64.tar.gz |
| Linux x86-64 | lcu-<version>-linux-x64.tar.gz |
Follow the installation guide to verify the checksum, extract the archive, and register LCU in your harness. Setup offers an agent chooser and desktop-readiness guidance. Chrome and computer-audio recording are opt-in.
For development, see building from source.
Ask your agent:
Enable Chrome control in my LCU setup using the installation guide:
https://raw.githubusercontent.com/amontlabs/lcu/main/docs/INSTALLATION.md#desktop-and-browser
Enable the official extension in your Chrome profile and restart your harness. Then ask it to use LCU to list Chrome tabs. Sites still require approval. Claude Code's Chrome support remains experimental because some interruptions do not trigger tab cleanup; see adapter limitations.
Pass --audio when setting up a maintained harness, for example:
~/.local/share/lcu/current/bin/lcu setup --agent pi --audio
The installer does not add lcu to your PATH; run its installed path (/opt/lcu/current/bin/lcu on Linux). See the lcu command.
This enables the installed original runtime's optional computer-audio recording API and its original approval flow. LCU does not add audio-specific instructions, and a saved recording is not audio delivered to the model. See the audio opt-in verification record.
In interactive Pi, /lcu stop requests original Computer Use Stop for a selected app during the active LCU turn (macOS only). /lcu pick selects an original app or browser target and appends it to the editor draft while Pi is idle; review and submit the draft yourself. See adapter command behavior and limits.
LCU is MIT licensed. Release archives contain LCU and third-party setup dependencies. The OpenAI app and its instructions come from your local installation and retain their own terms; see dependency provenance.