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Secure Your AI-Generated Code with Socket MCP
Socket MCP brings real-time security checks to AI-generated code, helping developers catch risky dependencies before they enter the codebase.
This tiny library allows you to talk to the at(1)
system, available on most UNIX machines, to schedule jobs to be run later.
Using at(1)
can be much more light-weight than running a full-fledged job-processing system such as Celery <http://www.celeryproject.org/>
__ if you are running very few jobs, however the performance will be much lower if you are running a considerable amount of tasks.
.. code-block:: python
import unix_at
job = unix_at.submit_shell_job(['touch', '/some/file'])
unix_at.cancel_job(job)
job = unix_at.submit_python_job(os.mkdir, 'now + 1 hour', '/some/dir')
FAQs
Talk to the at(1) daemon, to schedule jobs for later
We found that unix-at demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Product
Socket MCP brings real-time security checks to AI-generated code, helping developers catch risky dependencies before they enter the codebase.
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Research
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