🤖 AI Analysis

Final verdict: SUSPICIOUS

While the package shows minimal risk in terms of network, shell execution, obfuscation, and credential handling, there are concerns about the metadata and author details, suggesting potential low effort or new maintainer involvement.

Metadata risk with incomplete or suspicious author details.
Potential low effort or new maintainer involvement.

Per-check LLM notes

Network: No network calls detected, which is normal if the package does not require external communication.
Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
Credentials: No credential harvesting patterns detected, indicating secure handling of secrets.
Metadata: Low risk due to lack of suspicious flags, but concerns over author details and metadata completeness suggest potential low effort or new maintainer.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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

Email domain looks legitimate: cosmotech.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Cosmo-Tech/CosmoTech-Acceleration-Library appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with CosmoTech-Acceleration-Library

Create a fully-functional mini-app that simulates a simplified version of a cloud-based file management system using the 'CosmoTech-Acceleration-Library' Python package. This app should allow users to upload files to a cloud storage service, list all files in their account, download specific files, and delete files. The application should also include user authentication to ensure that only authorized users can access and manage their files.

The core features of the 'CosmoTech-Acceleration-Library' package will be used to accelerate the process of uploading and downloading files, making the app more efficient and responsive. Additionally, the app should have a simple command-line interface (CLI) for ease of use and testing.

Suggested Features:
1. User registration and login functionality.
2. Secure file uploads to a simulated cloud storage environment.
3. Ability to list all files stored in the user's cloud account.
4. Download specific files from the cloud storage.
5. Delete files from the cloud storage securely.
6. Implement error handling for common issues like invalid credentials, file not found, etc.
7. Provide clear CLI prompts and feedback messages for user interaction.

How to Utilize 'CosmoTech-Acceleration-Library':
- Use the package's accelerated upload methods to quickly send files to the cloud storage.
- Leverage the download acceleration functions to speed up the retrieval of files from the cloud.
- Integrate the library's security modules to protect user data during transmission and storage.

Your task is to design and implement this mini-app, ensuring that it fully leverages the capabilities of the 'CosmoTech-Acceleration-Library' to provide a smooth and efficient user experience.