🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe with minimal risks identified. It has legitimate network activity for downloading and verifying wheels, and there are no signs of malicious behavior such as shell execution, obfuscation, or credential harvesting.

Legitimate network activity for downloading and verifying wheels.
No shell execution, obfuscation, or credential harvesting detected.

Per-check LLM notes

Network: The package makes network calls which could be legitimate if it requires external data or services.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has only one package, suggesting a new or less active account, but no other red flags are present.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

url: str) -> bytes: req = urllib.request.Request(url, headers={"User-Agent": _USER_AGENT}) try:
AGENT}) try: with urllib.request.urlopen(req, timeout=_REQUEST_TIMEOUT_S) as resp:

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository AI45Lab/Code appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "A3S Lab" 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 a3s-code

Create a Python-based application named 'CodeFetcher' that leverages the 'a3s-code' package to dynamically fetch and install specific versions of Python packages from a custom GitHub repository. This application should allow users to specify a package name and a version number, then use the 'a3s-code' SDK to download and install the specified package version without needing to rely on PyPI.

Steps to build this application:
1. Set up a basic Python environment and install the 'a3s-code' package.
2. Design a command-line interface (CLI) where users can input the package name and version they wish to install.
3. Implement a function within 'CodeFetcher' that uses 'a3s-code' to query the GitHub repository for the requested package version.
4. If the package exists and is downloadable, the application should proceed to install it using the 'a3s-code' SDK.
5. Include error handling to manage scenarios where the package does not exist or cannot be downloaded.
6. Add functionality to list all available versions of a package from the GitHub repository.
7. Optionally, include a feature that allows users to update an already installed package to a newer version using 'a3s-code'.
8. Ensure the application logs its actions and any errors encountered during execution for debugging purposes.

Features:
- User-friendly CLI for specifying package names and versions.
- Ability to install specific versions of packages directly from a GitHub repository.
- Error handling for non-existent packages or failed downloads.
- Listing of all available versions of a package.
- Optional update functionality for already installed packages.
- Logging of application actions and errors.

Utilization of 'a3s-code':
- The 'a3s-code' package will be the primary tool for fetching and installing Python packages from a GitHub repository. It will handle the downloading of the correct wheel file based on the specified version and package name.