lcu

Codex computer use, decoupled from the app, for usage inside any harness.

Not yet testedsource: GitHubhomepagePythonMITcommit 748303e9315e

Python, MIT licensed. The project labels itself: accessibility, agent skills, browser automation, claude code, codex cli, computer use, desktop automation and linux.

lcu has not been verified yet.

Measured by Argusic on a fresh machine every time. Every number links to its evidence.

At a glance

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
767
forks
35
open issues
1
watchers
1
size
13 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

No recorded runs.

Topics (from GitHub)

accessibilityagent-skillsbrowser-automationclaude-codecodex-clicomputer-usedesktop-automationlinuxmacosmcppi-agentx11

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/lcu.svg)](https://argusic.com/subject/lcu)

Questions

Does lcu run?
lcu has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test lcu?
On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
Where is the evidence for lcu?
All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion