🤖 AI Analysis

Final verdict: SAFE

The package shows minimal signs of malicious intent with no obfuscation or credential risks. The moderate shell risk is due to executing external commands but is not indicative of a supply-chain attack.

No obfuscation or credential harvesting observed.
Moderate shell risk due to execution of external commands.

Per-check LLM notes

Network: The network calls appear to be for fetching version information from PyPI, which is typical for dependency management and not indicative of malicious behavior.
Shell: The shell executions involve running external commands like 'pdoc', 'uv', and 'pixi', which could potentially execute arbitrary code depending on the context, suggesting higher risk for potential misuse or unintended side effects.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
Metadata: The maintainer has only one package, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

ata else None async with httpx.AsyncClient(timeout=10.0) as client: tasks = [fetch_version(clie
m PyPI.""" async with httpx.AsyncClient() as client: data = await fetch_pypi_json(client

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

ct website root. result = subprocess.run( [ "pdoc", "-o",
+= ["--execute"] result = subprocess.run(cmd, check=False) if result.returncode != 0: rai
raise Exit(1) result = subprocess.run( [ "uv", "add",
_name = None result = subprocess.run( [ "pixi", "add"
: base_path} result = subprocess.run( [ "myst", "buil
ATH": base_path} result = subprocess.run( ["pnpm", "build"], cwd=paths.website_path, env=webs

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository AfterPythonOrg/afterpython appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Stephen Yau" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with afterpython

Create a Python-based utility named 'PyMaintainer' that leverages the 'afterpython' package to streamline Python package management and documentation generation for developers. This utility should have the following core functionalities:

1. **Package Management**: Automatically install, upgrade, and uninstall Python packages from a specified requirements.txt file. Additionally, it should be able to fetch and display details of each package such as version, description, and author.
2. **Documentation Generation**: Utilize 'afterpython' to generate a static website for a Python project, including API documentation, changelogs, and user guides. This feature should automatically scan the project code and extract relevant information to populate the website content.
3. **Dependency Checker**: Integrate a feature that checks for outdated dependencies in the current environment against the latest versions available on PyPI. It should provide a report listing all outdated packages along with their current and latest versions.
4. **Customizable Configuration**: Allow users to customize the look and feel of the generated website through a configuration file. This includes themes, layout options, and SEO settings.
5. **Integration with Version Control Systems**: Provide seamless integration with Git to commit changes to the documentation and manage version history effectively.

The 'afterpython' package will be crucial for automating the documentation generation process and managing the project website. Ensure that the utility is well-documented, easy to use, and adheres to best practices in Python development.