🤖 AI Analysis

Final verdict: SAFE

The package shows minimal signs of potential risks, with no shell execution, obfuscation, or credential harvesting observed. However, the low metadata score and presence of HTTP requests slightly elevate the risk.

Low metadata quality
Presence of HTTP requests

Per-check LLM notes

Network: The presence of HTTP requests indicates the package may communicate with external services, but without context, it's hard to determine if this is expected behavior.
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 and lacks PyPI classifiers, suggesting low activity or effort.

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

Test runner config found: pyproject.toml

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (14705 chars)

◈ Medium Contributing Guide 7.0

Some contribution signals present

Governance file: security.py

◈ Medium Type Annotations 5.0

Partial type annotation coverage

147 type-annotated function signatures detected in source

○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

is None: client = httpx.Client(follow_redirects=True) client_supplied = False
e: async_client = httpx.AsyncClient(follow_redirects=True) async_client_supplied = F

✓ 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

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "ratna" 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 ajayji

Create a Python-based desktop application called 'AjayjiSync' that integrates with the Ajayji Local Daemon via the 'ajayji' Python SDK. This application will serve as a user-friendly interface for managing local files and syncing them across devices using the Ajayji service. The application should include the following core features:

1. **File Syncing**: Users should be able to select specific folders on their local machine to sync with Ajayji's cloud storage. The application must periodically check for changes in these folders and upload any new or modified files to the cloud.
2. **Real-time Updates**: Implement real-time updates so that any changes made to synced files in the cloud are immediately reflected in the local folder, and vice versa.
3. **Conflict Resolution**: If there are conflicts between local and cloud versions of a file (e.g., both versions have been edited), the application should provide options for manual conflict resolution, such as keeping the local version, keeping the cloud version, or merging the two versions.
4. **User Interface**: Develop a simple yet intuitive GUI using Tkinter or PyQt that allows users to easily manage their synced folders, view status of sync operations, and monitor any errors or warnings.
5. **Backup Management**: Include functionality to create backups of synced files at regular intervals, allowing users to restore previous versions if needed.
6. **Security Features**: Implement basic security measures like encryption for data in transit and at rest, ensuring that sensitive information remains protected during syncing processes.

To utilize the 'ajayji' package, you'll need to first install it via pip and then import its modules into your Python scripts. Use the package's API to authenticate users, interact with the Ajayji Local Daemon, and perform file syncing operations. Remember to handle exceptions and errors gracefully to ensure a smooth user experience.