AI Analysis
The package appears to be safe with no detected network or shell risks. The metadata risk score is moderately high due to the maintainer having only one package, but there are no other red flags indicating a supply-chain attack.
- No network or shell execution risks detected.
- Maintainer has only one package, suggesting potential new or less active developer.
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution patterns detected, which is expected unless the package is designed to run system commands.
- Metadata: The maintainer has only one package, suggesting a new or less active account which may warrant further investigation.
Package Quality Overall: Medium (5.0/10)
Test suite present — 6 test file(s) found
Test runner config found: conftest.py6 test file(s) detected (e.g. __init__.py)
Some documentation present
Detailed PyPI description (9218 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
No type annotations detected
No type annotations, py.typed marker, or stub files detected
Limited contributor diversity
2 unique contributor(s) across 18 commits in chofstede/ansible_jailexecTwo distinct contributors found
Heuristic Checks
No suspicious network call patterns found
No obfuscation patterns detected
No shell execution patterns detected
Found 3 credential access pattern(s)
k() conn.fetch_file("/etc/hosts", "/local/hosts") conn.ssh_fetch.assert_called_onch( "/jail/testjail/etc/hosts", "/local/hosts" ) # No extra exec_commandth", [ "../etc/passwd", "/tmp/../etc", "a/b/../../c",
No typosquatting candidates detected
Email domain looks legitimate: hofstede.it
All external links appear legitimate
Repository chofstede/ansible_jailexec appears legitimate
1 maintainer concern(s) found
Author "Christian Hofstede-Kuhn" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully-functional mini-application named 'JailManager' using Python that leverages the 'ansible-jailexec' package to manage FreeBSD jails via jexec over SSH. This application will serve as a simple yet powerful tool for system administrators to easily execute commands within multiple jails without manually logging into each one. Step 1: Setup the Environment - Ensure you have Python installed on your machine. - Install the 'ansible-jailexec' package using pip. - Set up a basic Ansible environment with the necessary configuration files. Step 2: Define the Application Structure - Create a main module for the application. - Design separate modules for connecting to hosts, executing commands, and handling errors. Step 3: Implement Core Functionality - Develop a function to connect to a FreeBSD host via SSH. - Use 'ansible-jailexec' to establish a connection to a jail on the remote host. - Write a method to execute shell commands within the jail. - Include options for specifying the jail name and command to run. Step 4: Add Advanced Features - Implement a feature to list all available jails on the target host. - Allow users to specify multiple jails and commands to run simultaneously. - Provide an option to save command outputs to a file. - Integrate logging for better traceability of executed commands and any errors encountered. Step 5: User Interface - Develop a command-line interface (CLI) for user interaction. - Ensure the CLI is intuitive, providing clear prompts and feedback. How 'ansible-jailexec' is Utilized: - The 'ansible-jailexec' package acts as the bridge between your Python application and the FreeBSD jails. It allows you to bypass traditional SSH limitations by directly invoking 'jexec' commands on the jail from your Python script. This significantly simplifies jail management tasks such as running maintenance scripts, checking jail status, or performing updates across multiple jails efficiently.
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